{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "41b4d6ab",
   "metadata": {},
   "source": [
    "(ch:single-particle-analysis)=\n",
    "# Single-Particle Analysis\n",
    "\n",
    "(sec:spa-introduction)=\n",
    "## Introduction\n",
    "\n",
    "Single-particle analysis (SPA) is a cryo-EM method that determines the three-dimensional structure of a macromolecule by computationally combining images of thousands to millions of individual copies of the molecule, each captured in a different, unknown orientation. The fundamental physical insight driving SPA is that a three-dimensional object can be reconstructed from a sufficient number of its two-dimensional projections — a relationship known as the **projection theorem** (see also {numref}`ch:tomography`). In SPA, the challenge is that the orientations of individual particles are not known in advance and must be inferred from the images themselves.\n",
    "\n",
    "```{figure} images/Images11/beta-gal.png\n",
    ":name: fig:beta-gal\n",
    ":width: 70%\n",
    "A cryo-EM micrograph of beta-galactosidase particles in vitrified ice. Individual particles (bright and dark blobs) are visible, but a single micrograph contains too little SNR to resolve molecular detail. Combining images of many such particles through SPA reveals the protein structure at near-atomic resolution.\n",
    "```\n",
    "\n",
    "In the below video, we explain how a three-dimensional structure is recovered from many noisy projection images: back projection in real space, the equivalent route in Fourier space via the projection theorem, and the iterative single-particle workflow that leads from micrographs to a final Coulomb potential map.\n",
    "\n",
    "---\n",
    "\n",
    "<div style=\"position: relative; width: 100%; padding-bottom: 56.25%; height: 0; overflow: hidden;\">\n",
    "    <iframe\n",
    "        style=\"position: absolute; top: 0; left: 0; width: 100%; height: 100%;\"\n",
    "        src=\"https://www.youtube.com/embed/MORHfkY3UR8?si=gtoVjUWeUHd5RmWO\"\n",
    "        frameborder=\"0\"\n",
    "        allowfullscreen\n",
    "    ></iframe>\n",
    "</div>\n",
    "\n",
    "---\n",
    "\n",
    "(sec:spa-why-average)=\n",
    "## Why Averaging Works: Signal and Noise\n",
    "\n",
    "Individual cryo-EM particle images are collected at very low electron dose (typically 40–70 e⁻/Ų total per micrograph) to avoid radiation damage. As a consequence, each particle image is dominated by noise. The signal-to-noise ratio (SNR) of a single particle image is often less than 0.1 — the particle is literally invisible by eye in the raw image.\n",
    "\n",
    "Averaging $N$ images of identical particles, each containing the same underlying signal but independent noise, amplifies the signal by $N$ while the noise grows only by $\\sqrt{N}$. The SNR therefore scales as:\n",
    "\n",
    "$$\n",
    "\\text{SNR}(N) = \\text{SNR}(1) \\times \\sqrt{N}\n",
    "$$ (eq:snr-averaging)\n",
    "\n",
    "This $\\sqrt{N}$ improvement is the statistical foundation of SPA. To improve SNR by a factor of 10, one needs 100 particles; a factor of 100 requires 10,000. Modern SPA datasets typically contain $10^5$–$10^6$ particle images, yielding SNR improvements of 300–1000× over a single particle.\n",
    "\n",
    "```{admonition} Interactive element\n",
    ":class: tip\n",
    "Click **Live Code** to activate, expand the **Show code** toggle, and click ▶ to run. Drag the slider to increase the number of averaged particles and observe how the ring feature becomes progressively clearer. Note that the SNR improvement follows $\\sqrt{N}$.\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "796e6dc8",
   "metadata": {
    "tags": [
     "hide-input"
    ]
   },
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "1d10307d38e64125b7d18d85fb70030d",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(VBox(children=(IntSlider(value=16, description='# particles', layout=Layout(width='360px'), max…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import io\n",
    "import numpy as np\n",
    "import matplotlib\n",
    "matplotlib.use('agg')\n",
    "import matplotlib.pyplot as plt\n",
    "from ipywidgets import IntSlider, FloatSlider, VBox, HBox, Layout, Output\n",
    "from IPython.display import display, Image, clear_output\n",
    "\n",
    "def draw_averaging(n_particles=16, noise_level=3.0):\n",
    "    rng = np.random.default_rng(42)\n",
    "    n = 80\n",
    "    x = np.linspace(-1, 1, n)\n",
    "    X, Y = np.meshgrid(x, x)\n",
    "    r = np.sqrt(X**2 + Y**2)\n",
    "    particle = np.exp(-((r - 0.55)**2)/(2*0.06**2)) + 0.3*np.exp(-(r**2)/(2*0.10**2))\n",
    "    particle /= particle.max()\n",
    "\n",
    "    imgs = particle[None] + rng.normal(0, noise_level, (n_particles, n, n))\n",
    "    avg  = imgs.mean(axis=0)\n",
    "    vscale = noise_level * 1.5\n",
    "\n",
    "    fig, axes = plt.subplots(1, 4, figsize=(12, 3.2))\n",
    "    axes[0].imshow(particle, cmap='gray', vmin=0, vmax=1)\n",
    "    axes[0].set_title(\"True structure\", fontsize=10); axes[0].axis('off')\n",
    "    axes[1].imshow(imgs[0], cmap='gray', vmin=-vscale, vmax=vscale)\n",
    "    axes[1].set_title(\"Single particle image\", fontsize=10); axes[1].axis('off')\n",
    "    axes[2].imshow(imgs[:min(4,n_particles)].mean(0), cmap='gray', vmin=-vscale, vmax=vscale)\n",
    "    axes[2].set_title(f\"Average of {min(4,n_particles)}\", fontsize=10); axes[2].axis('off')\n",
    "    axes[3].imshow(avg, cmap='gray', vmin=-vscale, vmax=vscale)\n",
    "    axes[3].set_title(f\"Average of {n_particles}\\n(SNR ∝ {np.sqrt(n_particles):.1f}×)\", fontsize=10)\n",
    "    axes[3].axis('off')\n",
    "    fig.tight_layout()\n",
    "    buf = io.BytesIO(); fig.savefig(buf, format='png', dpi=96); buf.seek(0)\n",
    "    display(Image(data=buf.read())); plt.close(fig)\n",
    "\n",
    "style = {\"description_width\": \"150px\"}\n",
    "sl = Layout(width=\"360px\")\n",
    "n_sl    = IntSlider(  value=16,  min=1,   max=512, step=1,\n",
    "                       description=\"# particles\", style=style, layout=sl)\n",
    "nse_sl  = FloatSlider(value=3.0, min=0.5, max=8.0, step=0.5,\n",
    "                       description=\"Noise level\",  style=style, layout=sl)\n",
    "\n",
    "out = Output()\n",
    "def update_avg(_=None):\n",
    "    with out:\n",
    "        clear_output(wait=True)\n",
    "        draw_averaging(n_sl.value, nse_sl.value)\n",
    "for sl_w in [n_sl, nse_sl]:\n",
    "    sl_w.observe(update_avg, names='value')\n",
    "\n",
    "ui = VBox([n_sl, nse_sl])\n",
    "display(HBox([ui, out]))\n",
    "update_avg()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "634ff2d4",
   "metadata": {},
   "source": [
    "(sec:spa-reconstruction-problem)=\n",
    "## The 2D Reconstruction Problem\n",
    "\n",
    "Before explaining the full SPA pipeline, it is instructive to work through the problem in 2D, where the unknown structure is a 2D image and the only unknown parameter per particle is a single in-plane rotation angle. This makes the algorithm concrete and computable in a browser. The same logic applies in 3D — the only difference is that we search over three Euler angles instead of one.\n",
    "\n",
    "### The Observation Model\n",
    "\n",
    "We model each observed particle image $X_i$ as a rotated, noise-corrupted version of an unknown density $A$:\n",
    "\n",
    "$$\n",
    "X_i = R^{\\theta_i} A + \\sigma G_i\n",
    "$$ (eq:image-model)\n",
    "\n",
    "where $R^{\\theta_i}$ denotes rotation by the unknown angle $\\theta_i$, and $G_i$ is i.i.d. Gaussian noise with standard deviation $\\sigma$. Neither $A$ nor any of the $\\theta_i$ are known. If we could estimate $\\theta_i$, we could recover $A$ by rotating each image back and averaging:\n",
    "\n",
    "$$\n",
    "A \\approx \\frac{1}{N} \\sum_{i=1}^N (R^{\\theta_i})^{-1} X_i\n",
    "$$ (eq:average-reconstruction)\n",
    "\n",
    "This partially cancels the noise (by $\\sqrt{N}$) while the signal adds coherently — provided the angle estimates are correct.\n",
    "\n",
    "We use a rendition of the letter **Q** as our 2D particle throughout, because it has clear asymmetry (making correct alignment unambiguous) and is immediately recognisable in the reconstruction. In real SPA the structure is of course unknown."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "631e0092",
   "metadata": {
    "tags": [
     "remove-input"
    ]
   },
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import matplotlib\n",
    "matplotlib.use('agg')\n",
    "import matplotlib.pyplot as plt\n",
    "import io\n",
    "from IPython.display import display as _display, Image as _Image\n",
    "from scipy.ndimage import rotate as nd_rotate, zoom as nd_zoom\n",
    "\n",
    "def make_letter(text, size=64):\n",
    "    \"\"\"Render a letter as a 2D array via matplotlib Agg canvas.\"\"\"\n",
    "    fig, ax = plt.subplots(figsize=(2, 2))\n",
    "    ax.axis('off')\n",
    "    fig.text(0.23, 0.26, text, fontsize=100)\n",
    "    fig.canvas.draw()\n",
    "    buf = np.frombuffer(fig.canvas.buffer_rgba(), dtype=np.uint8)\n",
    "    w, h = fig.canvas.get_width_height()\n",
    "    data = buf.reshape(h, w, 4)[:, :, :3].mean(2)\n",
    "    plt.close(fig)\n",
    "    data = (data - data.min()) / (data.max() - data.min() + 1e-10)\n",
    "    data = (~data.astype(bool))[::-1].astype(float)\n",
    "    return nd_zoom(data, size / data.shape[0])\n",
    "\n",
    "Q = make_letter('Q', 64)\n",
    "rng_ex = np.random.default_rng(5)\n",
    "sigma_ex = 1.2\n",
    "\n",
    "fig, axes = plt.subplots(1, 6, figsize=(14, 3))\n",
    "axes[0].imshow(Q, cmap='gray'); axes[0].axis('off')\n",
    "axes[0].set_title(\"True structure A\\n(unknown in real SPA)\", fontsize=9)\n",
    "\n",
    "angles_ex = [0, 45, 130, 200, 290]\n",
    "for ax, ang in zip(axes[1:], angles_ex):\n",
    "    rot = nd_rotate(Q, ang, reshape=False, order=1)\n",
    "    noisy = rot + rng_ex.normal(0, sigma_ex, Q.shape)\n",
    "    ax.imshow(noisy, cmap='gray'); ax.axis('off')\n",
    "    ax.set_title(f\"Image (θ={ang}°)\", fontsize=9)\n",
    "\n",
    "plt.suptitle(\"Observation model: $X_i = R^{\\\\theta_i} A + \\\\sigma G_i$ \"\n",
    "             f\"— same structure, random rotations, σ = {sigma_ex}\", fontsize=10, y=1.02)\n",
    "plt.tight_layout()\n",
    "_buf = io.BytesIO(); fig.savefig(_buf, format='png', bbox_inches='tight', dpi=96); _buf.seek(0)\n",
    "_display(_Image(_buf.read()))\n",
    "plt.close('all')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cd310683",
   "metadata": {},
   "source": [
    "### Alignment by Cross-Correlation\n",
    "\n",
    "To estimate $\\theta_i$ we compare each image against a **reference** (an estimate of $A$) rotated to all candidate angles. The **normalised cross-correlation (NCC)** between image $X_i$ and a candidate rotated reference $R^\\theta A_\\text{ref}$ is:\n",
    "\n",
    "$$\n",
    "\\mathrm{NCC}(\\theta) = \\frac{\\sum_\\mathbf{r} X_i(\\mathbf{r})\\, [R^\\theta A_\\text{ref}](\\mathbf{r})}\n",
    "{\\|X_i\\|\\,\\|R^\\theta A_\\text{ref}\\|}\n",
    "$$\n",
    "\n",
    "The estimated angle is $\\hat\\theta_i = \\arg\\max_\\theta \\mathrm{NCC}(\\theta)$. The figure below shows the NCC score as a function of candidate angle for a single noisy image. Even at substantial noise levels, a clear peak is visible near the true angle."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "71272c8d",
   "metadata": {
    "tags": [
     "remove-input"
    ]
   },
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import matplotlib\n",
    "matplotlib.use('agg')\n",
    "import matplotlib.pyplot as plt\n",
    "import io\n",
    "from IPython.display import display as _display, Image as _Image\n",
    "from scipy.ndimage import rotate as nd_rotate, zoom as nd_zoom\n",
    "\n",
    "def make_letter(text, size=64):\n",
    "    fig, ax = plt.subplots(figsize=(2, 2))\n",
    "    ax.axis('off')\n",
    "    fig.text(0.23, 0.26, text, fontsize=100)\n",
    "    fig.canvas.draw()\n",
    "    buf = np.frombuffer(fig.canvas.buffer_rgba(), dtype=np.uint8)\n",
    "    w, h = fig.canvas.get_width_height()\n",
    "    data = buf.reshape(h, w, 4)[:, :, :3].mean(2)\n",
    "    plt.close(fig)\n",
    "    data = (data - data.min()) / (data.max() - data.min() + 1e-10)\n",
    "    data = (~data.astype(bool))[::-1].astype(float)\n",
    "    return nd_zoom(data, size / data.shape[0])\n",
    "\n",
    "Q = make_letter('Q', 64)\n",
    "true_angle = 130\n",
    "cand5 = np.arange(0, 360, 5)\n",
    "rots5 = np.array([nd_rotate(Q, a, reshape=False, order=1) for a in cand5])\n",
    "rng2 = np.random.default_rng(3)\n",
    "px = 64*64\n",
    "\n",
    "fig, axes = plt.subplots(1, 3, figsize=(13, 3.8))\n",
    "for ax, sig in zip(axes, [0.3, 1.0, 2.5]):\n",
    "    noisy = nd_rotate(Q, true_angle, reshape=False, order=1) + rng2.normal(0, sig, Q.shape)\n",
    "    A0 = noisy.reshape(1, px).astype(float); A0 -= A0.mean()\n",
    "    A0n = np.linalg.norm(A0).clip(1e-10)\n",
    "    B0 = rots5.reshape(len(cand5), px).astype(float); B0 -= B0.mean(1, keepdims=True)\n",
    "    B0n = np.linalg.norm(B0, axis=1, keepdims=True).clip(1e-10)\n",
    "    with np.errstate(divide='ignore', invalid='ignore', over='ignore'):\n",
    "        scores = np.nan_to_num(((A0/A0n) @ (B0/B0n).T).ravel())\n",
    "    ax.plot(cand5, scores, color='steelblue', linewidth=1.5)\n",
    "    ax.axvline(true_angle, color='red', linewidth=1.5, linestyle='--', label=f'True {true_angle}°')\n",
    "    ax.set_xlabel(\"Candidate angle (°)\", fontsize=9)\n",
    "    ax.set_ylabel(\"NCC score\", fontsize=9)\n",
    "    ax.set_title(f\"σ = {sig}\", fontsize=10)\n",
    "    ax.legend(fontsize=8); ax.grid(alpha=0.3)\n",
    "\n",
    "plt.suptitle(\"NCC alignment score vs candidate angle — peak at true rotation\", fontsize=10, y=1.02)\n",
    "plt.tight_layout()\n",
    "_buf = io.BytesIO(); fig.savefig(_buf, format='png', bbox_inches='tight', dpi=96); _buf.seek(0)\n",
    "_display(_Image(_buf.read()))\n",
    "plt.close('all')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "18b3d768",
   "metadata": {},
   "source": [
    "### Live 2D Reconstruction\n",
    "\n",
    "The interactive below runs the complete pipeline. At startup, 36 rotated references are pre-computed at 10° steps. Each slider update:\n",
    "1. Generates N noisy rotated images of Q\n",
    "2. Aligns each image against all 36 references (vectorised NCC)\n",
    "3. Rotates each image back by its estimated angle\n",
    "4. Averages all aligned images\n",
    "\n",
    "```{admonition} Interactive element\n",
    ":class: tip\n",
    "Click **Live Code** to activate, expand the **Show code** toggle, and click ▶ to run. Increase particle images to watch Q emerge from noise. Raise noise to see alignment fail when the NCC peak is too broad.\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "f1b61376",
   "metadata": {
    "tags": [
     "hide-input"
    ]
   },
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "69fc658dad664fa0aaaabdc004e63727",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "VBox(children=(IntSlider(value=32, description='# particle images', layout=Layout(width='440px'), max=128, min…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import io\n",
    "import numpy as np\n",
    "import matplotlib\n",
    "matplotlib.use('agg')\n",
    "import matplotlib.pyplot as plt\n",
    "from scipy.ndimage import rotate as nd_rotate, zoom as nd_zoom\n",
    "from ipywidgets import IntSlider, FloatSlider, VBox, Output\n",
    "from IPython.display import display, Image, clear_output\n",
    "\n",
    "def make_letter(text, size=64):\n",
    "    fig, ax = plt.subplots(figsize=(2, 2))\n",
    "    ax.axis('off')\n",
    "    fig.text(0.23, 0.26, text, fontsize=100)\n",
    "    fig.canvas.draw()\n",
    "    buf = np.frombuffer(fig.canvas.buffer_rgba(), dtype=np.uint8)\n",
    "    w, h = fig.canvas.get_width_height()\n",
    "    data = buf.reshape(h, w, 4)[:, :, :3].mean(2)\n",
    "    plt.close(fig)\n",
    "    data = (data - data.min()) / (data.max() - data.min() + 1e-10)\n",
    "    data = (~data.astype(bool))[::-1].astype(float)\n",
    "    return nd_zoom(data, size / data.shape[0])\n",
    "\n",
    "_pm_ref  = make_letter('Q', 64)\n",
    "_pm_n    = 64\n",
    "_pm_cand = np.arange(0, 360, 10)\n",
    "_pm_rots = np.array([nd_rotate(_pm_ref, a, reshape=False, order=1) for a in _pm_cand])\n",
    "\n",
    "def _ncc_mat(imgs, refs):\n",
    "    ni, px = imgs.shape[0], imgs.shape[1]*imgs.shape[2]\n",
    "    A = imgs.reshape(ni, px).astype(float); A -= A.mean(1, keepdims=True)\n",
    "    B = refs.reshape(len(refs), px).astype(float); B -= B.mean(1, keepdims=True)\n",
    "    An = np.linalg.norm(A, axis=1, keepdims=True).clip(1e-10)\n",
    "    Bn = np.linalg.norm(B, axis=1, keepdims=True).clip(1e-10)\n",
    "    with np.errstate(divide='ignore', invalid='ignore', over='ignore'):\n",
    "        return np.nan_to_num((A/An) @ (B/Bn).T)\n",
    "\n",
    "def draw_pm_recon(n_images=32, noise_sigma=1.0):\n",
    "    rng = np.random.default_rng(7)\n",
    "    idx   = rng.integers(0, len(_pm_cand), n_images)\n",
    "    noisy = _pm_rots[idx] + rng.normal(0, noise_sigma, (n_images, _pm_n, _pm_n))\n",
    "    best  = _ncc_mat(noisy, _pm_rots).argmax(1)\n",
    "\n",
    "    recon = np.zeros((_pm_n, _pm_n))\n",
    "    for a_idx in range(len(_pm_cand)):\n",
    "        mask = (best == a_idx)\n",
    "        if mask.any():\n",
    "            recon += nd_rotate(noisy[mask].mean(0), -_pm_cand[a_idx],\n",
    "                               reshape=False, order=1) * mask.sum()\n",
    "    recon /= n_images\n",
    "\n",
    "    r_n = (recon - recon.mean()) / (recon.std() + 1e-10)\n",
    "    t_n = (_pm_ref - _pm_ref.mean()) / (_pm_ref.std() + 1e-10)\n",
    "    ncc_val = float((r_n * t_n).mean())\n",
    "\n",
    "    # NCC scores for first image\n",
    "    px = _pm_n * _pm_n\n",
    "    A0 = noisy[0].reshape(1, px).astype(float); A0 -= A0.mean()\n",
    "    A0n = np.linalg.norm(A0).clip(1e-10)\n",
    "    B0 = _pm_rots.reshape(len(_pm_cand), px).astype(float); B0 -= B0.mean(1, keepdims=True)\n",
    "    B0n = np.linalg.norm(B0, axis=1, keepdims=True).clip(1e-10)\n",
    "    with np.errstate(divide='ignore', invalid='ignore', over='ignore'):\n",
    "        scores0 = np.nan_to_num(((A0/A0n) @ (B0/B0n).T).ravel())\n",
    "\n",
    "    fig, axes = plt.subplots(1, 5, figsize=(18, 3.8))\n",
    "    axes[0].imshow(_pm_ref, cmap='gray'); axes[0].axis('off')\n",
    "    axes[0].set_title(\"True structure\\n(unknown in real SPA)\", fontsize=9)\n",
    "\n",
    "    vr = noise_sigma * 1.5\n",
    "    axes[1].imshow(noisy[0], cmap='gray', vmin=-vr, vmax=vr); axes[1].axis('off')\n",
    "    axes[1].set_title(f\"Single image (σ={noise_sigma:.1f})\", fontsize=9)\n",
    "\n",
    "    axes[2].plot(_pm_cand, scores0, color='steelblue', linewidth=1.4)\n",
    "    axes[2].axvline(_pm_cand[best[0]], color='red', linewidth=1.4, linestyle='--',\n",
    "                    label=f'Best: {_pm_cand[best[0]]}°')\n",
    "    axes[2].set_xlabel(\"Candidate angle (°)\", fontsize=8)\n",
    "    axes[2].set_ylabel(\"NCC\", fontsize=8)\n",
    "    axes[2].set_title(\"Alignment score\\n(image 1)\", fontsize=9)\n",
    "    axes[2].legend(fontsize=7); axes[2].grid(alpha=0.3)\n",
    "\n",
    "    aligned0 = nd_rotate(noisy[0], -_pm_cand[best[0]], reshape=False, order=1)\n",
    "    axes[3].imshow(aligned0, cmap='gray', vmin=-vr, vmax=vr); axes[3].axis('off')\n",
    "    axes[3].set_title(f\"Image 1 aligned\\n(rotated back {_pm_cand[best[0]]}°)\", fontsize=9)\n",
    "\n",
    "    vr2 = max(abs(recon).max(), 0.01)\n",
    "    axes[4].imshow(recon, cmap='gray', vmin=-vr2, vmax=vr2); axes[4].axis('off')\n",
    "    axes[4].set_title(f\"Reconstruction ({n_images} images)\\nNCC quality: {ncc_val:.2f}\", fontsize=9)\n",
    "\n",
    "    fig.suptitle(\"2D projection-matching reconstruction\", fontsize=10)\n",
    "    fig.tight_layout()\n",
    "    buf = io.BytesIO(); fig.savefig(buf, format='png', dpi=96); buf.seek(0)\n",
    "    display(Image(data=buf.read())); plt.close(fig)\n",
    "\n",
    "style = {\"description_width\": \"160px\"}\n",
    "n_sl_pm   = IntSlider(value=32, min=4, max=128, step=4,\n",
    "                      description=\"# particle images\", style=style, layout={\"width\":\"440px\"})\n",
    "nse_sl_pm = FloatSlider(value=1.0, min=0.2, max=4.0, step=0.2,\n",
    "                        description=\"Noise σ\", style=style, layout={\"width\":\"440px\"})\n",
    "\n",
    "out_pm = Output()\n",
    "def update_pm(_=None):\n",
    "    with out_pm:\n",
    "        clear_output(wait=True)\n",
    "        draw_pm_recon(n_sl_pm.value, nse_sl_pm.value)\n",
    "for s in [n_sl_pm, nse_sl_pm]:\n",
    "    s.observe(update_pm, names='value')\n",
    "\n",
    "display(VBox([n_sl_pm, nse_sl_pm, out_pm]))\n",
    "update_pm()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1144a88b",
   "metadata": {},
   "source": [
    "(sec:spa-model-bias)=\n",
    "## Model Bias and Reference Dependence\n",
    "\n",
    "The projection-matching algorithm requires a starting **reference** to align images against. In real SPA this reference is often a low-resolution density map from a previous processing round, an electron microscopy structure of a homologous protein, or a featureless sphere. The choice of starting reference matters: if the reference is wrong, the alignment may converge to the wrong structure — a phenomenon called **reference bias** or the \"Einstein from noise\" problem.\n",
    "\n",
    "The example below illustrates three cases for reconstructing images of the letter Q:\n",
    "- **Correct reference (Q)**: alignment converges immediately; reconstruction is faithful.\n",
    "- **Wrong reference (P)**: particles are forced into P-like alignments; the reconstruction is a blend of Q and P.\n",
    "- **Neutral reference (circle)**: no bias is introduced, but convergence is slower because the reference provides less discriminating power."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "98c8ab95",
   "metadata": {
    "tags": [
     "remove-input"
    ]
   },
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import matplotlib\n",
    "matplotlib.use('agg')\n",
    "import matplotlib.pyplot as plt\n",
    "import io\n",
    "from IPython.display import display as _display, Image as _Image\n",
    "from scipy.ndimage import rotate as nd_rotate, zoom as nd_zoom\n",
    "\n",
    "def make_letter(text, size=64):\n",
    "    fig, ax = plt.subplots(figsize=(2, 2))\n",
    "    ax.axis('off')\n",
    "    fig.text(0.23, 0.26, text, fontsize=100)\n",
    "    fig.canvas.draw()\n",
    "    buf = np.frombuffer(fig.canvas.buffer_rgba(), dtype=np.uint8)\n",
    "    w, h = fig.canvas.get_width_height()\n",
    "    data = buf.reshape(h, w, 4)[:, :, :3].mean(2)\n",
    "    plt.close(fig)\n",
    "    data = (data - data.min()) / (data.max() - data.min() + 1e-10)\n",
    "    data = (~data.astype(bool))[::-1].astype(float)\n",
    "    return nd_zoom(data, size / data.shape[0])\n",
    "\n",
    "def make_circle(n=64):\n",
    "    t = np.linspace(-0.5, 0.5, n); X, Y = np.meshgrid(t, t)\n",
    "    return (np.sqrt(X**2 + Y**2) < 0.38).astype(float)\n",
    "\n",
    "def align_and_reconstruct(noisy_imgs, ref, n_cand=36):\n",
    "    cand = np.arange(0, 360, 360//n_cand)\n",
    "    rots = np.array([nd_rotate(ref, a, reshape=False, order=1) for a in cand])\n",
    "    n, py, px_sz = noisy_imgs.shape; nr = len(cand)\n",
    "    A = noisy_imgs.reshape(n, py*px_sz).astype(float); A -= A.mean(1, keepdims=True)\n",
    "    B = rots.reshape(nr, py*px_sz).astype(float); B -= B.mean(1, keepdims=True)\n",
    "    An = np.linalg.norm(A, axis=1, keepdims=True).clip(1e-10)\n",
    "    Bn = np.linalg.norm(B, axis=1, keepdims=True).clip(1e-10)\n",
    "    with np.errstate(divide='ignore', invalid='ignore', over='ignore'):\n",
    "        best = np.nan_to_num((A/An) @ (B/Bn).T).argmax(1)\n",
    "    recon = np.zeros((py, px_sz))\n",
    "    for a_idx in range(nr):\n",
    "        mask = (best == a_idx)\n",
    "        if mask.any():\n",
    "            recon += nd_rotate(noisy_imgs[mask].mean(0), -cand[a_idx],\n",
    "                               reshape=False, order=1) * mask.sum()\n",
    "    return recon / n\n",
    "\n",
    "rng_b = np.random.default_rng(9)\n",
    "Q = make_letter('Q', 64)\n",
    "cand_gen = np.arange(0, 360, 10)\n",
    "idx_b = rng_b.integers(0, len(cand_gen), 80)\n",
    "rots_Q = np.array([nd_rotate(Q, a, reshape=False, order=1) for a in cand_gen])\n",
    "noisy_Q = rots_Q[idx_b] + rng_b.normal(0, 1.5, (80, 64, 64))\n",
    "\n",
    "refs  = [make_letter('Q', 64), make_letter('P', 64), make_circle(64)]\n",
    "labels = [\"Correct reference\\n(Q)\", \"Wrong reference\\n(P)\", \"Neutral reference\\n(circle)\"]\n",
    "\n",
    "fig, axes = plt.subplots(2, 4, figsize=(14, 7))\n",
    "axes[0, 0].imshow(Q, cmap='gray'); axes[0, 0].axis('off')\n",
    "axes[0, 0].set_title(\"True structure\\n(Q)\", fontsize=9)\n",
    "axes[1, 0].text(0.5, 0.5, \"80 noisy\\nrotated Q images\",\n",
    "                ha='center', va='center', transform=axes[1, 0].transAxes, fontsize=9)\n",
    "axes[1, 0].axis('off')\n",
    "\n",
    "for col, (ref, label) in enumerate(zip(refs, labels), 1):\n",
    "    axes[0, col].imshow(ref, cmap='gray'); axes[0, col].axis('off')\n",
    "    axes[0, col].set_title(label, fontsize=9)\n",
    "    recon = align_and_reconstruct(noisy_Q, ref)\n",
    "    axes[1, col].imshow(recon, cmap='gray'); axes[1, col].axis('off')\n",
    "    axes[1, col].set_title(\"Reconstruction\", fontsize=9)\n",
    "\n",
    "axes[0, 0].set_ylabel(\"Starting reference\", fontsize=9)\n",
    "axes[1, 0].set_ylabel(\"Result (1 iteration)\", fontsize=9)\n",
    "plt.suptitle(\"Model bias: the starting reference influences the reconstruction\", fontsize=10, y=1.01)\n",
    "plt.tight_layout()\n",
    "_buf = io.BytesIO(); fig.savefig(_buf, format='png', bbox_inches='tight', dpi=96); _buf.seek(0)\n",
    "_display(_Image(_buf.read()))\n",
    "plt.close('all')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "00ea944c",
   "metadata": {},
   "source": [
    "This demonstration has an important practical implication: in real SPA, reconstructions should always be validated by checking that two independently processed half-datasets give the same structure (the **gold-standard FSC** criterion). A structure that matches its own reference but not an independent test set may be a result of reference bias rather than a genuine structural signal.\n",
    "\n",
    "The remedy is iterative refinement: use the reconstruction from one round as the reference for the next. Starting from a neutral reference and iterating, the algorithm gradually converges to the correct structure without being biased toward a specific starting model.\n",
    "\n",
    "(sec:spa-2d-classification)=\n",
    "## 2D Classification\n",
    "\n",
    "Real cryo-EM datasets are not homogeneous: micrographs contain ice contamination, broken particles, aggregates, and sometimes multiple distinct conformations of the protein. **2D classification** solves two problems simultaneously:\n",
    "\n",
    "1. **Quality control**: junk particles form diffuse, uninterpretable classes and can be discarded.\n",
    "2. **Sorting by view**: particles in the same orientation are grouped together, producing high-SNR class averages.\n",
    "\n",
    "The algorithm is analogous to the single-class reconstruction above, but extended to $K$ classes. For each particle, we compute NCC against all rotations of all $K$ references, and assign the particle to the best-matching class and angle. References are then updated as averages of their assigned particles.\n",
    "\n",
    "The example below mixes images of two different letters — **Q** and **P** — and shows that the algorithm correctly separates them into two distinct classes, even though we are working blindly (the algorithm receives no information about which images belong to which class)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "a322be82",
   "metadata": {
    "tags": [
     "remove-input"
    ]
   },
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import matplotlib\n",
    "matplotlib.use('agg')\n",
    "import matplotlib.pyplot as plt\n",
    "import io\n",
    "from IPython.display import display as _display, Image as _Image\n",
    "from scipy.ndimage import rotate as nd_rotate, zoom as nd_zoom\n",
    "\n",
    "def make_letter(text, size=64):\n",
    "    fig, ax = plt.subplots(figsize=(2, 2))\n",
    "    ax.axis('off')\n",
    "    fig.text(0.23, 0.26, text, fontsize=100)\n",
    "    fig.canvas.draw()\n",
    "    buf = np.frombuffer(fig.canvas.buffer_rgba(), dtype=np.uint8)\n",
    "    w, h = fig.canvas.get_width_height()\n",
    "    data = buf.reshape(h, w, 4)[:, :, :3].mean(2)\n",
    "    plt.close(fig)\n",
    "    data = (data - data.min()) / (data.max() - data.min() + 1e-10)\n",
    "    data = (~data.astype(bool))[::-1].astype(float)\n",
    "    return nd_zoom(data, size / data.shape[0])\n",
    "\n",
    "rng_cls = np.random.default_rng(42)\n",
    "Q   = make_letter('Q', 64)\n",
    "P   = make_letter('P', 64)\n",
    "N_each = 40; sigma_cls = 1.2\n",
    "cand_cls = np.arange(0, 360, 10)\n",
    "rots_Q  = np.array([nd_rotate(Q, a, reshape=False, order=1) for a in cand_cls])\n",
    "rots_P  = np.array([nd_rotate(P, a, reshape=False, order=1) for a in cand_cls])\n",
    "\n",
    "idx_q = rng_cls.integers(0, len(cand_cls), N_each)\n",
    "idx_p = rng_cls.integers(0, len(cand_cls), N_each)\n",
    "imgs_q = rots_Q[idx_q] + rng_cls.normal(0, sigma_cls, (N_each, 64, 64))\n",
    "imgs_p = rots_P[idx_p] + rng_cls.normal(0, sigma_cls, (N_each, 64, 64))\n",
    "all_imgs = np.concatenate([imgs_q, imgs_p])  # (80, 64, 64) — mixed, shuffled\n",
    "true_label = np.array([0]*N_each + [1]*N_each)\n",
    "shuffle = rng_cls.permutation(2*N_each)\n",
    "all_imgs = all_imgs[shuffle]; true_label = true_label[shuffle]\n",
    "\n",
    "# 2-class projection matching: refs = [Q, P]\n",
    "all_rots = np.concatenate([rots_Q, rots_P])  # (72, 64, 64)\n",
    "n_per_class = len(cand_cls)\n",
    "n_all, px = all_imgs.shape[0], 64*64\n",
    "A = all_imgs.reshape(n_all, px).astype(float); A -= A.mean(1, keepdims=True)\n",
    "B = all_rots.reshape(len(all_rots), px).astype(float); B -= B.mean(1, keepdims=True)\n",
    "An = np.linalg.norm(A, axis=1, keepdims=True).clip(1e-10)\n",
    "Bn = np.linalg.norm(B, axis=1, keepdims=True).clip(1e-10)\n",
    "with np.errstate(divide='ignore', invalid='ignore', over='ignore'):\n",
    "    cc = np.nan_to_num((A/An) @ (B/Bn).T)\n",
    "best_global = cc.argmax(1)\n",
    "pred_class  = (best_global >= n_per_class).astype(int)\n",
    "best_angle  = cand_cls[best_global % n_per_class]\n",
    "\n",
    "recons = []\n",
    "for cls_idx in [0, 1]:\n",
    "    mask = (pred_class == cls_idx)\n",
    "    recon = np.zeros((64, 64))\n",
    "    count = 0\n",
    "    for i in np.where(mask)[0]:\n",
    "        recon += nd_rotate(all_imgs[i], -best_angle[i], reshape=False, order=1)\n",
    "        count += 1\n",
    "    recons.append(recon / max(count, 1))\n",
    "\n",
    "naive_avg = all_imgs.mean(0)\n",
    "acc = (pred_class == true_label).mean() * 100\n",
    "\n",
    "fig, axes = plt.subplots(1, 6, figsize=(16, 3.2))\n",
    "axes[0].imshow(Q, cmap='gray'); axes[0].axis('off'); axes[0].set_title(\"True: Q\", fontsize=9)\n",
    "axes[1].imshow(P, cmap='gray'); axes[1].axis('off'); axes[1].set_title(\"True: P\", fontsize=9)\n",
    "axes[2].imshow(all_imgs[0], cmap='gray'); axes[2].axis('off')\n",
    "axes[2].set_title(\"Example mixed\\nparticle image\", fontsize=9)\n",
    "axes[3].imshow(naive_avg, cmap='gray'); axes[3].axis('off')\n",
    "axes[3].set_title(\"Naive average\\n(all 80 images)\", fontsize=9)\n",
    "axes[4].imshow(recons[0], cmap='gray'); axes[4].axis('off')\n",
    "axes[4].set_title(f\"Class 1\\n({(pred_class==0).sum()} images)\", fontsize=9)\n",
    "axes[5].imshow(recons[1], cmap='gray'); axes[5].axis('off')\n",
    "axes[5].set_title(f\"Class 2\\n({(pred_class==1).sum()} images)\", fontsize=9)\n",
    "\n",
    "plt.suptitle(f\"2D classification: separating a mixed Q+P dataset \"\n",
    "             f\"(classification accuracy: {acc:.0f}%)\", fontsize=10, y=1.02)\n",
    "plt.tight_layout()\n",
    "_buf = io.BytesIO(); fig.savefig(_buf, format='png', bbox_inches='tight', dpi=96); _buf.seek(0)\n",
    "_display(_Image(_buf.read()))\n",
    "plt.close('all')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2efc504c",
   "metadata": {},
   "source": [
    "The interactive below lets you explore how noise and number of images affect classification. At low noise the two letters are cleanly separated; at high noise, assignments become unreliable and the class averages deteriorate.\n",
    "\n",
    "```{admonition} Interactive element\n",
    ":class: tip\n",
    "Click **Live Code** to activate, expand the **Show code** toggle, and click ▶ to run. Adjust the noise level and the number of images per class and observe how class separation changes.\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "059fb122",
   "metadata": {
    "tags": [
     "hide-input"
    ]
   },
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "f41a4c5860434361bbabd13ec97ae9c3",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "VBox(children=(IntSlider(value=40, description='Images per class', layout=Layout(width='440px'), min=8, step=4…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import io\n",
    "import numpy as np\n",
    "import matplotlib\n",
    "matplotlib.use('agg')\n",
    "import matplotlib.pyplot as plt\n",
    "from scipy.ndimage import rotate as nd_rotate, zoom as nd_zoom\n",
    "from ipywidgets import IntSlider, FloatSlider, VBox, Output\n",
    "from IPython.display import display, Image, clear_output\n",
    "\n",
    "def make_letter(text, size=64):\n",
    "    fig, ax = plt.subplots(figsize=(2, 2))\n",
    "    ax.axis('off')\n",
    "    fig.text(0.23, 0.26, text, fontsize=100)\n",
    "    fig.canvas.draw()\n",
    "    buf = np.frombuffer(fig.canvas.buffer_rgba(), dtype=np.uint8)\n",
    "    w, h = fig.canvas.get_width_height()\n",
    "    data = buf.reshape(h, w, 4)[:, :, :3].mean(2)\n",
    "    plt.close(fig)\n",
    "    data = (data - data.min()) / (data.max() - data.min() + 1e-10)\n",
    "    data = (~data.astype(bool))[::-1].astype(float)\n",
    "    return nd_zoom(data, size / data.shape[0])\n",
    "\n",
    "_cls_Q = make_letter('Q', 64)\n",
    "_cls_P = make_letter('P', 64)\n",
    "_cls_cand = np.arange(0, 360, 10)\n",
    "_rots_Q = np.array([nd_rotate(_cls_Q, a, reshape=False, order=1) for a in _cls_cand])\n",
    "_rots_P = np.array([nd_rotate(_cls_P, a, reshape=False, order=1) for a in _cls_cand])\n",
    "_all_rots = np.concatenate([_rots_Q, _rots_P])\n",
    "_n_cand = len(_cls_cand)\n",
    "_px = 64*64\n",
    "\n",
    "def draw_classification(n_each=40, sigma=1.2):\n",
    "    rng = np.random.default_rng(42)\n",
    "    idx_q = rng.integers(0, _n_cand, n_each)\n",
    "    idx_p = rng.integers(0, _n_cand, n_each)\n",
    "    imgs_q = _rots_Q[idx_q] + rng.normal(0, sigma, (n_each, 64, 64))\n",
    "    imgs_p = _rots_P[idx_p] + rng.normal(0, sigma, (n_each, 64, 64))\n",
    "    all_imgs = np.concatenate([imgs_q, imgs_p])\n",
    "    true_lbl = np.array([0]*n_each + [1]*n_each)\n",
    "    shuf = rng.permutation(2*n_each)\n",
    "    all_imgs = all_imgs[shuf]; true_lbl = true_lbl[shuf]\n",
    "\n",
    "    n_all = all_imgs.shape[0]\n",
    "    A = all_imgs.reshape(n_all, _px).astype(float); A -= A.mean(1, keepdims=True)\n",
    "    B = _all_rots.reshape(len(_all_rots), _px).astype(float); B -= B.mean(1, keepdims=True)\n",
    "    An = np.linalg.norm(A, axis=1, keepdims=True).clip(1e-10)\n",
    "    Bn = np.linalg.norm(B, axis=1, keepdims=True).clip(1e-10)\n",
    "    with np.errstate(divide='ignore', invalid='ignore', over='ignore'):\n",
    "        cc = np.nan_to_num((A/An) @ (B/Bn).T)\n",
    "    best_global = cc.argmax(1)\n",
    "    pred_cls  = (best_global >= _n_cand).astype(int)\n",
    "    best_ang  = _cls_cand[best_global % _n_cand]\n",
    "    acc = (pred_cls == true_lbl).mean() * 100\n",
    "\n",
    "    recons = []\n",
    "    for ci in [0, 1]:\n",
    "        mask = (pred_cls == ci)\n",
    "        recon = np.zeros((64, 64))\n",
    "        count = 0\n",
    "        for i in np.where(mask)[0]:\n",
    "            recon += nd_rotate(all_imgs[i], -best_ang[i], reshape=False, order=1)\n",
    "            count += 1\n",
    "        recons.append(recon / max(count, 1))\n",
    "\n",
    "    naive = all_imgs.mean(0)\n",
    "    fig, axes = plt.subplots(1, 5, figsize=(16, 3.6))\n",
    "    axes[0].imshow(all_imgs[0], cmap='gray'); axes[0].axis('off')\n",
    "    axes[0].set_title(f\"Example image\\n(σ={sigma:.1f}, N={2*n_each} total)\", fontsize=9)\n",
    "    axes[1].imshow(naive, cmap='gray'); axes[1].axis('off')\n",
    "    axes[1].set_title(\"Naive average\\n(mixed → blurry)\", fontsize=9)\n",
    "    axes[2].imshow(recons[0], cmap='gray'); axes[2].axis('off')\n",
    "    axes[2].set_title(f\"Class 1 ({(pred_cls==0).sum()} imgs)\", fontsize=9)\n",
    "    axes[3].imshow(recons[1], cmap='gray'); axes[3].axis('off')\n",
    "    axes[3].set_title(f\"Class 2 ({(pred_cls==1).sum()} imgs)\", fontsize=9)\n",
    "    axes[4].imshow(np.abs(recons[0] - recons[1]), cmap='hot'); axes[4].axis('off')\n",
    "    axes[4].set_title(\"Difference\\n(class 1 − class 2)\", fontsize=9)\n",
    "    fig.suptitle(f\"2D classification accuracy: {acc:.0f}%\", fontsize=10)\n",
    "    fig.tight_layout()\n",
    "    buf = io.BytesIO(); fig.savefig(buf, format='png', dpi=96); buf.seek(0)\n",
    "    display(Image(data=buf.read())); plt.close(fig)\n",
    "\n",
    "style = {\"description_width\": \"160px\"}\n",
    "n_sl_cls  = IntSlider(value=40, min=8, max=100, step=4,\n",
    "                      description=\"Images per class\", style=style, layout={\"width\":\"440px\"})\n",
    "sig_sl_cls = FloatSlider(value=1.2, min=0.2, max=4.0, step=0.2,\n",
    "                         description=\"Noise σ\", style=style, layout={\"width\":\"440px\"})\n",
    "out_cls = Output()\n",
    "def update_cls(_=None):\n",
    "    with out_cls:\n",
    "        clear_output(wait=True)\n",
    "        draw_classification(n_sl_cls.value, sig_sl_cls.value)\n",
    "for s in [n_sl_cls, sig_sl_cls]:\n",
    "    s.observe(update_cls, names='value')\n",
    "display(VBox([n_sl_cls, sig_sl_cls, out_cls]))\n",
    "update_cls()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d95f1284",
   "metadata": {},
   "source": [
    "(sec:spa-ml)=\n",
    "## Maximum-Likelihood Alignment\n",
    "\n",
    "At the SNR typical of cryo-EM images (0.01–0.1), the NCC peak is broad and noisy: many candidate orientations give nearly equal scores (see {numref}`sec:cryo-em-cc`). Hard assignment of the single best-fit orientation ignores this uncertainty and introduces systematic bias.\n",
    "\n",
    "**Maximum-likelihood (ML) alignment** resolves this by treating orientations as a probability distribution. Given the observation model in {eq}`eq:image-model`, and assuming Gaussian noise with variance $\\sigma^2$, the probability of observing $X_i$ given orientation $\\theta_j$ and reference $A$ is:\n",
    "\n",
    "$$\n",
    "P(X_i \\mid \\theta_j, A) \\propto \\exp\\!\\left[-\\frac{\\|X_i - R^{\\theta_j} A\\|^2}{2\\sigma^2}\\right]\n",
    "    = \\exp\\!\\left[\\frac{\\mathrm{CC}(\\theta_j)}{\\sigma^2}\\right] \\cdot \\mathrm{const}\n",
    "$$\n",
    "\n",
    "The posterior probability of each orientation is:\n",
    "\n",
    "$$\n",
    "w_{ij} = P(\\theta_j \\mid X_i, A) = \\frac{P(X_i \\mid \\theta_j, A)}{\\sum_{j'} P(X_i \\mid \\theta_{j'}, A)}\n",
    "$$\n",
    "\n",
    "These weights $w_{ij}$ are **soft assignments**: at high SNR they collapse onto the single best orientation (recovering projection matching), but at low SNR they spread over many orientations, giving each a contribution proportional to its likelihood. The reconstruction is then a weighted average:\n",
    "\n",
    "$$\n",
    "A \\leftarrow \\sum_i \\sum_j w_{ij} \\, (R^{\\theta_j})^{-1} X_i\n",
    "$$\n",
    "\n",
    "This is one step of the **expectation-maximization (EM) algorithm**: the E-step computes the weights $w_{ij}$ from the current reference $A$; the M-step reconstructs $A$ from the weighted back-projections. Iterating E and M steps converges to the maximum-likelihood estimate of $A$.\n",
    "\n",
    "The key advantages of ML over hard projection matching are: (1) alignment uncertainty at low SNR is automatically accounted for; (2) the reconstruction is less susceptible to reference bias; and (3) conformational heterogeneity can be modelled by introducing multiple reference classes, with particles assigned soft weights to each class.\n",
    "\n",
    "(sec:spa-workflow)=\n",
    "## The SPA Workflow\n",
    "\n",
    "(subsec:spa-specimen)=\n",
    "### Specimen Preparation\n",
    "\n",
    "SPA requires a purified, monodisperse sample of the macromolecule of interest in an appropriate buffer. A 3–4 µL aliquot is applied to a TEM grid covered with a support film containing micrometer-scale holes. Excess liquid is blotted away and the grid is plunge-frozen in liquid ethane using a vitrification robot. Preferred ice thickness is typically 10–100 nm.\n",
    "\n",
    "(subsec:spa-data-collection)=\n",
    "### Automated Data Collection\n",
    "\n",
    "Automated acquisition software handles focusing, image shift, and stage movement to collect thousands of micrographs. A typical session collects 1,000–10,000 micrographs per day, each containing tens to hundreds of individual particle images. Data collection follows a strict **low-dose protocol**: total dose is 40–70 e⁻/Ų per micrograph, spread over 30–60 movie frames.\n",
    "\n",
    "(subsec:spa-preprocessing)=\n",
    "### Preprocessing\n",
    "\n",
    "**Motion correction**: frames of each movie are aligned and averaged using cross-correlation to correct beam-induced motion.\n",
    "\n",
    "**CTF estimation**: defocus and astigmatism are estimated from each micrograph's power spectrum for later correction.\n",
    "\n",
    "**Particle picking**: individual particle images are identified using neural-network-based pickers that find particles in noisy images without user-defined templates.\n",
    "\n",
    "(subsec:spa-fourier-reconstruction)=\n",
    "### Fourier Reconstruction\n",
    "\n",
    "Once orientations are assigned, the 3D reconstruction is computed via **Fourier inversion**. By the **projection slice theorem** (discussed in {numref}`ch:fourier-transform`), the 2D Fourier transform of each projection is a central slice through the 3D Fourier transform of the object. Inserting all 2D Fourier transforms as oriented slices into a 3D Fourier volume, and then inverse-Fourier-transforming, yields the 3D density map. SPA benefits from the near-complete angular coverage provided by particles in random orientations — unlike tomography, there is no systematic **missing wedge**.\n",
    "\n",
    "(subsec:spa-heterogeneity)=\n",
    "### Conformational Heterogeneity\n",
    "\n",
    "**3D classification** can sort particles into discrete conformational states, each yielding a separate map. Continuous flexibility is handled by methods such as 3D variability analysis or multi-body refinement.\n",
    "\n",
    "(sec:spa-resolution)=\n",
    "## Resolution Assessment: The Fourier Shell Correlation\n",
    "\n",
    "(subsec:spa-fsc)=\n",
    "### FSC Definition\n",
    "\n",
    "The resolution of a cryo-EM map is assessed using the **Fourier Shell Correlation (FSC)**. The dataset is split randomly into two equal halves, and two independent 3D maps are computed from each half. The FSC between the two half-maps as a function of spatial frequency $s$ is:\n",
    "\n",
    "$$\n",
    "\\text{FSC}(s) = \\frac{\\sum_{\\mathbf{k} \\in \\text{shell}(s)} F_1(\\mathbf{k})\\, F_2^*(\\mathbf{k})}{\\sqrt{\\sum |F_1|^2 \\sum |F_2|^2}}\n",
    "$$ (eq:fsc)\n",
    "\n",
    "The FSC is 1 at low frequencies (both half-maps agree) and falls toward 0 at high frequencies (pure noise). The **gold-standard resolution** is defined as the frequency at which the FSC crosses 0.143 — a criterion chosen so that the map SNR equals approximately 1 at that frequency."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "a2aa07f3",
   "metadata": {
    "tags": [
     "remove-input"
    ]
   },
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import matplotlib\n",
    "matplotlib.use('agg')\n",
    "import matplotlib.pyplot as plt\n",
    "import io\n",
    "from IPython.display import display as _display, Image as _Image\n",
    "\n",
    "def simulate_fsc(resolution_A, n_particles, pixel_size_A=1.0, box=128):\n",
    "    s = np.linspace(0, 0.5/pixel_size_A, box//2)\n",
    "    s_cut = 1.0/resolution_A\n",
    "    signal_fraction = np.exp(-np.log(2) * (s/s_cut)**3)\n",
    "    noise_var = 1.0 / n_particles\n",
    "    fsc = signal_fraction / (signal_fraction + noise_var / signal_fraction.clip(1e-6))\n",
    "    fsc = np.clip(fsc, -0.05, 1.0)\n",
    "    return s, fsc\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(8, 4.5))\n",
    "for n, color, label in [(1000,'#d62728','1k'), (10000,'#ff7f0e','10k'),\n",
    "                         (100000,'#2ca02c','100k'), (1000000,'#1f77b4','1M')]:\n",
    "    s, fsc = simulate_fsc(2.5, n)\n",
    "    ax.plot(1/s[1:], fsc[1:], color=color, linewidth=1.8, label=f'{label} particles')\n",
    "\n",
    "ax.axhline(0.143, color='k', linewidth=1.2, linestyle='--', label='0.143 criterion')\n",
    "ax.set_xlabel(\"Resolution (Å)\", fontsize=11)\n",
    "ax.set_ylabel(\"FSC\", fontsize=11)\n",
    "ax.set_title(\"Fourier Shell Correlation — effect of particle number\", fontsize=11)\n",
    "ax.set_xlim(50, 2); ax.set_ylim(-0.1, 1.05)\n",
    "ax.legend(fontsize=9)\n",
    "ax.grid(alpha=0.3)\n",
    "plt.tight_layout()\n",
    "_buf = io.BytesIO(); fig.savefig(_buf, format='png', bbox_inches='tight', dpi=96); _buf.seek(0)\n",
    "_display(_Image(_buf.read()))\n",
    "plt.close('all')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7a3bef57",
   "metadata": {},
   "source": [
    "(sec:spa-applications)=\n",
    "## Biological Applications\n",
    "\n",
    "SPA has transformed structural biology:\n",
    "\n",
    "- **Ribosomes** (2.0–2.5 Å): the bacterial ribosome provided an early proof-of-concept for high-resolution SPA and remains a benchmark dataset.\n",
    "- **Ion channels and membrane proteins**: the TRPV1 channel was among the first membrane proteins solved to near-atomic resolution by cryo-EM.\n",
    "- **Viruses**: large icosahedral viruses leverage high symmetry for near-atomic resolution with relatively few particles.\n",
    "- **Drug targets**: rapid structure determination of viral spike proteins and other therapeutic targets.\n",
    "\n",
    "The method continues to push toward harder targets: smaller proteins ($< 50$ kDa), flexible complexes, and specimens in their native cellular environment (in-situ cryo-ET, see {numref}`ch:tomography`)."
   ]
  }
 ],
 "metadata": {
  "jupytext": {
   "text_representation": {
    "extension": ".md",
    "format_name": "myst",
    "format_version": 0.13,
    "jupytext_version": "1.10.3"
   }
  },
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.11"
  },
  "source_map": [
   12,
   61,
   116,
   141,
   187,
   200,
   252,
   267,
   377,
   389,
   466,
   484,
   570,
   579,
   676,
   752,
   788
  ],
  "widgets": {
   "application/vnd.jupyter.widget-state+json": {
    "state": {
     "074010ffbc4f42d99f1ef2b9afc28845": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "2.0.0",
      "model_name": "SliderStyleModel",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "2.0.0",
       "_model_name": "SliderStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "2.0.0",
       "_view_name": "StyleView",
       "description_width": "150px",
       "handle_color": null
      }
     },
     "07564240aad2486eb975caf57e81aa61": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "2.0.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "2.0.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "2.0.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border_bottom": null,
       "border_left": null,
       "border_right": null,
       "border_top": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": "440px"
      }
     },
     "0ba7b24d3f614d3e9dbb48fe8c01646d": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "2.0.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "2.0.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "2.0.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border_bottom": null,
       "border_left": null,
       "border_right": null,
       "border_top": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "10efa667ecb64cb8b47488d57c5d5ecc": {
      "model_module": "@jupyter-widgets/output",
      "model_module_version": "1.0.0",
      "model_name": "OutputModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/output",
       "_model_module_version": "1.0.0",
       "_model_name": "OutputModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/output",
       "_view_module_version": "1.0.0",
       "_view_name": "OutputView",
       "layout": "IPY_MODEL_561c0614caeb480fa06914c989068153",
       "msg_id": "",
       "outputs": [
        {
         "data": {
          "image/png": "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",
          "text/plain": "<IPython.core.display.Image object>"
         },
         "metadata": {},
         "output_type": "display_data"
        }
       ],
       "tabbable": null,
       "tooltip": null
      }
     },
     "12a8732ebbe4475c8738e86b3c15ebd7": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "2.0.0",
      "model_name": "FloatSliderModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "2.0.0",
       "_model_name": "FloatSliderModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "2.0.0",
       "_view_name": "FloatSliderView",
       "behavior": "drag-tap",
       "continuous_update": true,
       "description": "Noise σ",
       "description_allow_html": false,
       "disabled": false,
       "layout": "IPY_MODEL_07564240aad2486eb975caf57e81aa61",
       "max": 4.0,
       "min": 0.2,
       "orientation": "horizontal",
       "readout": true,
       "readout_format": ".2f",
       "step": 0.2,
       "style": "IPY_MODEL_992d6708edc048fab11d89ed93ce715c",
       "tabbable": null,
       "tooltip": null,
       "value": 1.2
      }
     },
     "19e287e56d2f46f18e1ec297c1d766d4": {
      "model_module": "@jupyter-widgets/output",
      "model_module_version": "1.0.0",
      "model_name": "OutputModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/output",
       "_model_module_version": "1.0.0",
       "_model_name": "OutputModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/output",
       "_view_module_version": "1.0.0",
       "_view_name": "OutputView",
       "layout": "IPY_MODEL_76b40d1a66fa4ee98586fa4dca3d828e",
       "msg_id": "",
       "outputs": [
        {
         "data": {
          "image/png": "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",
          "text/plain": "<IPython.core.display.Image object>"
         },
         "metadata": {},
         "output_type": "display_data"
        }
       ],
       "tabbable": null,
       "tooltip": null
      }
     },
     "1d10307d38e64125b7d18d85fb70030d": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "2.0.0",
      "model_name": "HBoxModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "2.0.0",
       "_model_name": "HBoxModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "2.0.0",
       "_view_name": "HBoxView",
       "box_style": "",
       "children": [
        "IPY_MODEL_5b23fea8d99949c68cf43ae9edf3a563",
        "IPY_MODEL_19e287e56d2f46f18e1ec297c1d766d4"
       ],
       "layout": "IPY_MODEL_0ba7b24d3f614d3e9dbb48fe8c01646d",
       "tabbable": null,
       "tooltip": null
      }
     },
     "24e2c8598958405281e1efcf922f8065": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "2.0.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "2.0.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "2.0.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border_bottom": null,
       "border_left": null,
       "border_right": null,
       "border_top": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "3213a368a8cf429486738438e57a6273": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "2.0.0",
      "model_name": "SliderStyleModel",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "2.0.0",
       "_model_name": "SliderStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "2.0.0",
       "_view_name": "StyleView",
       "description_width": "150px",
       "handle_color": null
      }
     },
     "36fa38081d784236bbdbb573b04a2c99": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "2.0.0",
      "model_name": "FloatSliderModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "2.0.0",
       "_model_name": "FloatSliderModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "2.0.0",
       "_view_name": "FloatSliderView",
       "behavior": "drag-tap",
       "continuous_update": true,
       "description": "Noise σ",
       "description_allow_html": false,
       "disabled": false,
       "layout": "IPY_MODEL_39838d67ada14f249df36be19a2dd5b8",
       "max": 4.0,
       "min": 0.2,
       "orientation": "horizontal",
       "readout": true,
       "readout_format": ".2f",
       "step": 0.2,
       "style": "IPY_MODEL_e372ea91311a4768b8f133fcad7d0614",
       "tabbable": null,
       "tooltip": null,
       "value": 1.0
      }
     },
     "39838d67ada14f249df36be19a2dd5b8": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "2.0.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "2.0.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "2.0.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border_bottom": null,
       "border_left": null,
       "border_right": null,
       "border_top": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": "440px"
      }
     },
     "452b8f45a7534afbb20e243367400b49": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "2.0.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "2.0.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "2.0.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border_bottom": null,
       "border_left": null,
       "border_right": null,
       "border_top": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": "440px"
      }
     },
     "472199cc7ef34f0fa69e744e20f25f35": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "2.0.0",
      "model_name": "SliderStyleModel",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "2.0.0",
       "_model_name": "SliderStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "2.0.0",
       "_view_name": "StyleView",
       "description_width": "160px",
       "handle_color": null
      }
     },
     "50e907581c3548e9b425a399c6d92f1c": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "2.0.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "2.0.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "2.0.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border_bottom": null,
       "border_left": null,
       "border_right": null,
       "border_top": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": "360px"
      }
     },
     "527b55677b39465791ca7f120df53c59": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "2.0.0",
      "model_name": "IntSliderModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "2.0.0",
       "_model_name": "IntSliderModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "2.0.0",
       "_view_name": "IntSliderView",
       "behavior": "drag-tap",
       "continuous_update": true,
       "description": "# particle images",
       "description_allow_html": false,
       "disabled": false,
       "layout": "IPY_MODEL_452b8f45a7534afbb20e243367400b49",
       "max": 128,
       "min": 4,
       "orientation": "horizontal",
       "readout": true,
       "readout_format": "d",
       "step": 4,
       "style": "IPY_MODEL_adec249294044f31b32d939414448623",
       "tabbable": null,
       "tooltip": null,
       "value": 32
      }
     },
     "561c0614caeb480fa06914c989068153": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "2.0.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "2.0.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "2.0.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border_bottom": null,
       "border_left": null,
       "border_right": null,
       "border_top": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "5b23fea8d99949c68cf43ae9edf3a563": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "2.0.0",
      "model_name": "VBoxModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "2.0.0",
       "_model_name": "VBoxModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "2.0.0",
       "_view_name": "VBoxView",
       "box_style": "",
       "children": [
        "IPY_MODEL_ee482050a21d4ce398da8c907f2b2748",
        "IPY_MODEL_8c256811c6c74c839debcfb445fd2b5a"
       ],
       "layout": "IPY_MODEL_24e2c8598958405281e1efcf922f8065",
       "tabbable": null,
       "tooltip": null
      }
     },
     "69fc658dad664fa0aaaabdc004e63727": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "2.0.0",
      "model_name": "VBoxModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "2.0.0",
       "_model_name": "VBoxModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "2.0.0",
       "_view_name": "VBoxView",
       "box_style": "",
       "children": [
        "IPY_MODEL_527b55677b39465791ca7f120df53c59",
        "IPY_MODEL_36fa38081d784236bbdbb573b04a2c99",
        "IPY_MODEL_10efa667ecb64cb8b47488d57c5d5ecc"
       ],
       "layout": "IPY_MODEL_c666cbc76eb040c7998312dcf33ad123",
       "tabbable": null,
       "tooltip": null
      }
     },
     "76b40d1a66fa4ee98586fa4dca3d828e": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "2.0.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "2.0.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "2.0.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border_bottom": null,
       "border_left": null,
       "border_right": null,
       "border_top": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "877453bfbed949c385893a861fc47ea3": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "2.0.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "2.0.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "2.0.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border_bottom": null,
       "border_left": null,
       "border_right": null,
       "border_top": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "8c256811c6c74c839debcfb445fd2b5a": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "2.0.0",
      "model_name": "FloatSliderModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "2.0.0",
       "_model_name": "FloatSliderModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "2.0.0",
       "_view_name": "FloatSliderView",
       "behavior": "drag-tap",
       "continuous_update": true,
       "description": "Noise level",
       "description_allow_html": false,
       "disabled": false,
       "layout": "IPY_MODEL_50e907581c3548e9b425a399c6d92f1c",
       "max": 8.0,
       "min": 0.5,
       "orientation": "horizontal",
       "readout": true,
       "readout_format": ".2f",
       "step": 0.5,
       "style": "IPY_MODEL_074010ffbc4f42d99f1ef2b9afc28845",
       "tabbable": null,
       "tooltip": null,
       "value": 3.0
      }
     },
     "992d6708edc048fab11d89ed93ce715c": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "2.0.0",
      "model_name": "SliderStyleModel",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "2.0.0",
       "_model_name": "SliderStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "2.0.0",
       "_view_name": "StyleView",
       "description_width": "160px",
       "handle_color": null
      }
     },
     "9fe2f277a29f41009de93c418e281f21": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "2.0.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "2.0.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "2.0.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border_bottom": null,
       "border_left": null,
       "border_right": null,
       "border_top": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "a99611d00e5d4236a73ba0e2b5379c97": {
      "model_module": "@jupyter-widgets/output",
      "model_module_version": "1.0.0",
      "model_name": "OutputModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/output",
       "_model_module_version": "1.0.0",
       "_model_name": "OutputModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/output",
       "_view_module_version": "1.0.0",
       "_view_name": "OutputView",
       "layout": "IPY_MODEL_9fe2f277a29f41009de93c418e281f21",
       "msg_id": "",
       "outputs": [
        {
         "data": {
          "image/png": "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",
          "text/plain": "<IPython.core.display.Image object>"
         },
         "metadata": {},
         "output_type": "display_data"
        }
       ],
       "tabbable": null,
       "tooltip": null
      }
     },
     "adec249294044f31b32d939414448623": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "2.0.0",
      "model_name": "SliderStyleModel",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "2.0.0",
       "_model_name": "SliderStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "2.0.0",
       "_view_name": "StyleView",
       "description_width": "160px",
       "handle_color": null
      }
     },
     "afea4edc2ba543a4a990df22dbee37b6": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "2.0.0",
      "model_name": "IntSliderModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "2.0.0",
       "_model_name": "IntSliderModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "2.0.0",
       "_view_name": "IntSliderView",
       "behavior": "drag-tap",
       "continuous_update": true,
       "description": "Images per class",
       "description_allow_html": false,
       "disabled": false,
       "layout": "IPY_MODEL_e8312ea8b0c749dea9f6f07abcc2ecc8",
       "max": 100,
       "min": 8,
       "orientation": "horizontal",
       "readout": true,
       "readout_format": "d",
       "step": 4,
       "style": "IPY_MODEL_472199cc7ef34f0fa69e744e20f25f35",
       "tabbable": null,
       "tooltip": null,
       "value": 40
      }
     },
     "c666cbc76eb040c7998312dcf33ad123": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "2.0.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "2.0.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "2.0.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border_bottom": null,
       "border_left": null,
       "border_right": null,
       "border_top": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "e372ea91311a4768b8f133fcad7d0614": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "2.0.0",
      "model_name": "SliderStyleModel",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "2.0.0",
       "_model_name": "SliderStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "2.0.0",
       "_view_name": "StyleView",
       "description_width": "160px",
       "handle_color": null
      }
     },
     "e8312ea8b0c749dea9f6f07abcc2ecc8": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "2.0.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "2.0.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "2.0.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border_bottom": null,
       "border_left": null,
       "border_right": null,
       "border_top": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": "440px"
      }
     },
     "ee482050a21d4ce398da8c907f2b2748": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "2.0.0",
      "model_name": "IntSliderModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "2.0.0",
       "_model_name": "IntSliderModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "2.0.0",
       "_view_name": "IntSliderView",
       "behavior": "drag-tap",
       "continuous_update": true,
       "description": "# particles",
       "description_allow_html": false,
       "disabled": false,
       "layout": "IPY_MODEL_50e907581c3548e9b425a399c6d92f1c",
       "max": 512,
       "min": 1,
       "orientation": "horizontal",
       "readout": true,
       "readout_format": "d",
       "step": 1,
       "style": "IPY_MODEL_3213a368a8cf429486738438e57a6273",
       "tabbable": null,
       "tooltip": null,
       "value": 16
      }
     },
     "f41a4c5860434361bbabd13ec97ae9c3": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "2.0.0",
      "model_name": "VBoxModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "2.0.0",
       "_model_name": "VBoxModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "2.0.0",
       "_view_name": "VBoxView",
       "box_style": "",
       "children": [
        "IPY_MODEL_afea4edc2ba543a4a990df22dbee37b6",
        "IPY_MODEL_12a8732ebbe4475c8738e86b3c15ebd7",
        "IPY_MODEL_a99611d00e5d4236a73ba0e2b5379c97"
       ],
       "layout": "IPY_MODEL_877453bfbed949c385893a861fc47ea3",
       "tabbable": null,
       "tooltip": null
      }
     }
    },
    "version_major": 2,
    "version_minor": 0
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}