{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "c000",
   "metadata": {},
   "source": [
    "# Images and segmentations\n",
    "\n",
    "Behind every profile there are images and segmentations. {func}`~mantispy.io.read_plate` reads a plate of them\n",
    "into a {class}`~spatialdata.SpatialData` object: fields of view as Images, the CellProfiler objects as Labels,\n",
    "and the cell-level measurements as a Table that annotates them.\n",
    "\n",
    "{func}`~mantispy.ds.jump_plate` is that call on two fields of view of well `O09` of the JUMP plate `BR00121438`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "c001",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-10-21T01:03:37.462771Z",
     "iopub.status.busy": "2026-10-21T01:03:37.462359Z",
     "iopub.status.idle": "2026-10-21T01:03:45.197636Z",
     "shell.execute_reply": "2026-10-21T01:03:45.196425Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<path>:357: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
      "  frame[\"Metadata_Key\"] = np.repeat([file.parent.name for file in files], [len(part) for part in frames])\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "SpatialData object\n",
       "├── Images\n",
       "│     ├── 'BR00121438_O09_s1_image': DataTree[cyx] (8, 1080, 1080), (8, 540, 540), (8, 270, 270)\n",
       "│     └── 'BR00121438_O09_s2_image': DataTree[cyx] (8, 1080, 1080), (8, 540, 540), (8, 270, 270)\n",
       "├── Labels\n",
       "│     ├── 'BR00121438_O09_s1_cells': DataArray[yx] (1080, 1080)\n",
       "│     ├── 'BR00121438_O09_s1_cytoplasm': DataArray[yx] (1080, 1080)\n",
       "│     ├── 'BR00121438_O09_s1_nuclei': DataArray[yx] (1080, 1080)\n",
       "│     ├── 'BR00121438_O09_s2_cells': DataArray[yx] (1080, 1080)\n",
       "│     ├── 'BR00121438_O09_s2_cytoplasm': DataArray[yx] (1080, 1080)\n",
       "│     └── 'BR00121438_O09_s2_nuclei': DataArray[yx] (1080, 1080)\n",
       "└── Tables\n",
       "      └── 'cells': AnnData (284, 1989)\n",
       "with coordinate systems:\n",
       "    ▸ 'BR00121438', with elements:\n",
       "        BR00121438_O09_s1_image (Images), BR00121438_O09_s2_image (Images), BR00121438_O09_s1_cells (Labels), BR00121438_O09_s1_cytoplasm (Labels), BR00121438_O09_s1_nuclei (Labels), BR00121438_O09_s2_cells (Labels), BR00121438_O09_s2_cytoplasm (Labels), BR00121438_O09_s2_nuclei (Labels)\n",
       "    ▸ 'BR00121438_O09', with elements:\n",
       "        BR00121438_O09_s1_image (Images), BR00121438_O09_s2_image (Images), BR00121438_O09_s1_cells (Labels), BR00121438_O09_s1_cytoplasm (Labels), BR00121438_O09_s1_nuclei (Labels), BR00121438_O09_s2_cells (Labels), BR00121438_O09_s2_cytoplasm (Labels), BR00121438_O09_s2_nuclei (Labels)\n",
       "    ▸ 'BR00121438_O09_s1', with elements:\n",
       "        BR00121438_O09_s1_image (Images), BR00121438_O09_s1_cells (Labels), BR00121438_O09_s1_cytoplasm (Labels), BR00121438_O09_s1_nuclei (Labels)\n",
       "    ▸ 'BR00121438_O09_s2', with elements:\n",
       "        BR00121438_O09_s2_image (Images), BR00121438_O09_s2_cells (Labels), BR00121438_O09_s2_cytoplasm (Labels), BR00121438_O09_s2_nuclei (Labels)"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "from spatialdata import get_pyramid_levels\n",
    "from spatialdata.transformations import get_transformation\n",
    "\n",
    "import mantispy as mt\n",
    "\n",
    "sdata = mt.ds.jump_plate()\n",
    "sdata"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c002",
   "metadata": {},
   "source": [
    "## Coordinate systems\n",
    "\n",
    "Every element sits in coordinate systems for its own field, its well and the plate. The well frame lays the\n",
    "fields of a well out where the microscope stage found them, with nothing resampled."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "c003",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-10-21T01:03:45.202188Z",
     "iopub.status.busy": "2026-10-21T01:03:45.201658Z",
     "iopub.status.idle": "2026-10-21T01:03:45.206052Z",
     "shell.execute_reply": "2026-10-21T01:03:45.204981Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['BR00121438', 'BR00121438_O09', 'BR00121438_O09_s1', 'BR00121438_O09_s2']"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sorted(sdata.coordinate_systems)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "c004",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-10-21T01:03:45.209564Z",
     "iopub.status.busy": "2026-10-21T01:03:45.209421Z",
     "iopub.status.idle": "2026-10-21T01:03:45.511226Z",
     "shell.execute_reply": "2026-10-21T01:03:45.510334Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(5, 5))\n",
    "for image in sdata.images.values():\n",
    "    offset = get_transformation(image, \"BR00121438_O09\").to_affine_matrix(input_axes=(\"y\", \"x\"), output_axes=(\"y\", \"x\"))\n",
    "    y, x = offset[0, 2], offset[1, 2]\n",
    "    dna = np.asarray(get_pyramid_levels(image, n=2).sel(c=\"DNA\"))\n",
    "    ax.imshow(dna, extent=(x, x + 1080, y + 1080, y), cmap=\"gray\", vmax=np.percentile(dna, 99.5))\n",
    "ax.set(xlim=(0, 2160), ylim=(2160, 0), title=\"well O09, two of its fields\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c005",
   "metadata": {},
   "source": [
    "## Images and labels\n",
    "\n",
    "The image of a field carries one named channel per imaging channel, five fluorescent and three brightfield. The labels carry CellProfiler object numbers, so the\n",
    "rows of the cell table join straight onto them."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "c006",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-10-21T01:03:45.514790Z",
     "iopub.status.busy": "2026-10-21T01:03:45.514516Z",
     "iopub.status.idle": "2026-10-21T01:03:45.518512Z",
     "shell.execute_reply": "2026-10-21T01:03:45.517663Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[np.str_('Brightfield_L'),\n",
       " np.str_('Brightfield_H'),\n",
       " np.str_('Brightfield'),\n",
       " np.str_('RNA'),\n",
       " np.str_('Mito'),\n",
       " np.str_('ER'),\n",
       " np.str_('DNA'),\n",
       " np.str_('AGP')]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "image = get_pyramid_levels(sdata[\"BR00121438_O09_s1_image\"], n=0)\n",
    "list(image.coords[\"c\"].values)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "c007",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-10-21T01:03:45.520632Z",
     "iopub.status.busy": "2026-10-21T01:03:45.520485Z",
     "iopub.status.idle": "2026-10-21T01:03:45.673397Z",
     "shell.execute_reply": "2026-10-21T01:03:45.672253Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x300 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "window = np.s_[300:600, 300:600]\n",
    "fig, axes = plt.subplots(1, 4, figsize=(12, 3))\n",
    "dna = np.asarray(image.sel(c=\"DNA\"))[window]\n",
    "axes[0].imshow(dna, cmap=\"gray\", vmax=np.percentile(dna, 99.5))\n",
    "axes[0].set_title(\"DNA\")\n",
    "for ax, name in zip(axes[1:], (\"cells\", \"nuclei\", \"cytoplasm\"), strict=True):\n",
    "    ax.imshow(np.asarray(sdata[f\"BR00121438_O09_s1_{name}\"])[window], cmap=\"tab20\", interpolation=\"nearest\")\n",
    "    ax.set_title(name)\n",
    "for ax in axes:\n",
    "    ax.set_axis_off()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c008",
   "metadata": {},
   "source": [
    "Cytoplasm is the cell mask minus the nucleus mask, as CellProfiler defines it.\n",
    "\n",
    "## The table\n",
    "\n",
    "`cells` holds one row per segmented cell, with the cell's own measurements as columns. It is an\n",
    "ordinary {class}`~anndata.AnnData`, and its `var` is annotated with what each feature name encodes, as\n",
    "{func}`~mantispy.io.read_profiles` annotates a profile read from disk."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "c009",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-10-21T01:03:45.678573Z",
     "iopub.status.busy": "2026-10-21T01:03:45.678383Z",
     "iopub.status.idle": "2026-10-21T01:03:45.682289Z",
     "shell.execute_reply": "2026-10-21T01:03:45.681292Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "AnnData object with n_obs × n_vars = 284 × 1989\n",
       "    obs: 'Metadata_ImageNumber', 'Metadata_ObjectNumber', 'Metadata_ImageID', 'Metadata_ObjectType', 'Metadata_Plate', 'Metadata_Well', 'Metadata_Site', 'region'\n",
       "    var: 'object', 'feature_group', 'feature', 'channel', 'scale', 'angle', 'gray_levels', 'radial_bin', 'params', 'is_feature', 'feature_kind'\n",
       "    uns: 'mantispy', 'spatialdata_attrs'\n",
       "    layers: None (.X)"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cells = sdata.tables[\"cells\"]\n",
    "cells"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "c010",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-10-21T01:03:45.685275Z",
     "iopub.status.busy": "2026-10-21T01:03:45.685138Z",
     "iopub.status.idle": "2026-10-21T01:03:45.697759Z",
     "shell.execute_reply": "2026-10-21T01:03:45.696844Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>object</th>\n",
       "      <th>feature_group</th>\n",
       "      <th>feature</th>\n",
       "      <th>channel</th>\n",
       "      <th>scale</th>\n",
       "      <th>angle</th>\n",
       "      <th>gray_levels</th>\n",
       "      <th>radial_bin</th>\n",
       "      <th>params</th>\n",
       "      <th>is_feature</th>\n",
       "      <th>feature_kind</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Cells_AreaShape_Area</th>\n",
       "      <td>Cells</td>\n",
       "      <td>AreaShape</td>\n",
       "      <td>Area</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>True</td>\n",
       "      <td>measurement</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cells_AreaShape_BoundingBoxArea</th>\n",
       "      <td>Cells</td>\n",
       "      <td>AreaShape</td>\n",
       "      <td>BoundingBoxArea</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>True</td>\n",
       "      <td>measurement</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cells_AreaShape_Compactness</th>\n",
       "      <td>Cells</td>\n",
       "      <td>AreaShape</td>\n",
       "      <td>Compactness</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>True</td>\n",
       "      <td>measurement</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cells_AreaShape_Eccentricity</th>\n",
       "      <td>Cells</td>\n",
       "      <td>AreaShape</td>\n",
       "      <td>Eccentricity</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>True</td>\n",
       "      <td>measurement</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cells_AreaShape_EquivalentDiameter</th>\n",
       "      <td>Cells</td>\n",
       "      <td>AreaShape</td>\n",
       "      <td>EquivalentDiameter</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>True</td>\n",
       "      <td>measurement</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                   object feature_group             feature  \\\n",
       "Cells_AreaShape_Area                Cells     AreaShape                Area   \n",
       "Cells_AreaShape_BoundingBoxArea     Cells     AreaShape     BoundingBoxArea   \n",
       "Cells_AreaShape_Compactness         Cells     AreaShape         Compactness   \n",
       "Cells_AreaShape_Eccentricity        Cells     AreaShape        Eccentricity   \n",
       "Cells_AreaShape_EquivalentDiameter  Cells     AreaShape  EquivalentDiameter   \n",
       "\n",
       "                                   channel  scale  angle  gray_levels  \\\n",
       "Cells_AreaShape_Area                   NaN    NaN    NaN          NaN   \n",
       "Cells_AreaShape_BoundingBoxArea        NaN    NaN    NaN          NaN   \n",
       "Cells_AreaShape_Compactness            NaN    NaN    NaN          NaN   \n",
       "Cells_AreaShape_Eccentricity           NaN    NaN    NaN          NaN   \n",
       "Cells_AreaShape_EquivalentDiameter     NaN    NaN    NaN          NaN   \n",
       "\n",
       "                                   radial_bin params  is_feature feature_kind  \n",
       "Cells_AreaShape_Area                      NaN    NaN        True  measurement  \n",
       "Cells_AreaShape_BoundingBoxArea           NaN    NaN        True  measurement  \n",
       "Cells_AreaShape_Compactness               NaN    NaN        True  measurement  \n",
       "Cells_AreaShape_Eccentricity              NaN    NaN        True  measurement  \n",
       "Cells_AreaShape_EquivalentDiameter        NaN    NaN        True  measurement  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cells.var.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c011",
   "metadata": {},
   "source": [
    "`region` names the Labels element each row annotates, and `Metadata_ObjectNumber` the label value inside it:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "c012",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-10-21T01:03:45.700493Z",
     "iopub.status.busy": "2026-10-21T01:03:45.700350Z",
     "iopub.status.idle": "2026-10-21T01:03:45.706845Z",
     "shell.execute_reply": "2026-10-21T01:03:45.705754Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>region</th>\n",
       "      <th>Metadata_ObjectNumber</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>BR00121438_O09_s1_cells:1</th>\n",
       "      <td>BR00121438_O09_s1_cells</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BR00121438_O09_s1_cells:2</th>\n",
       "      <td>BR00121438_O09_s1_cells</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BR00121438_O09_s1_cells:3</th>\n",
       "      <td>BR00121438_O09_s1_cells</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BR00121438_O09_s1_cells:4</th>\n",
       "      <td>BR00121438_O09_s1_cells</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BR00121438_O09_s1_cells:5</th>\n",
       "      <td>BR00121438_O09_s1_cells</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                            region  Metadata_ObjectNumber\n",
       "BR00121438_O09_s1_cells:1  BR00121438_O09_s1_cells                      1\n",
       "BR00121438_O09_s1_cells:2  BR00121438_O09_s1_cells                      2\n",
       "BR00121438_O09_s1_cells:3  BR00121438_O09_s1_cells                      3\n",
       "BR00121438_O09_s1_cells:4  BR00121438_O09_s1_cells                      4\n",
       "BR00121438_O09_s1_cells:5  BR00121438_O09_s1_cells                      5"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cells.obs[[\"region\", \"Metadata_ObjectNumber\"]].head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c013",
   "metadata": {},
   "source": [
    "## Reading a plate\n",
    "\n",
    "A gallery source needs the accession directory, the batch and the plate barcode, which is what\n",
    "{func}`~mantispy.ds.jump_plate` passes:\n",
    "\n",
    "```python\n",
    "sdata = mt.io.read_plate(\n",
    "    \"cpg0016-jump/source_4\",\n",
    "    \"BR00121438\",\n",
    "    batch=\"2021_04_26_Batch1\",\n",
    "    wells=[\"O09\"],\n",
    ")\n",
    "```\n",
    "\n",
    "`wells` defaults to every well whose images are present, so a partial download reads back as itself.\n",
    "The gallery publishes one-pixel object outlines rather than segmentation masks, so the Labels are reconstructed\n",
    "from them. A component is accepted only when exactly one object centroid falls in it and its area is close to the\n",
    "area CellProfiler measured. Rows whose object was not reconstructed are dropped, so every label stands for one\n",
    "object.\n",
    "\n",
    "A plate straight out of a pipeline run needs only its folder:\n",
    "\n",
    "```python\n",
    "sdata = mt.io.read_plate(\"run_export/Plate1\")\n",
    "```\n",
    "\n",
    "Nothing is reconstructed on that path. The `ExportForSpatialData` module writes real label arrays, a per-cell\n",
    "table already joined across compartments, and a manifest in the table's `uns` listing what it wrote.\n",
    "\n",
    "Element names carry the plate barcode, so two plates concatenate without renaming, with\n",
    "`spatialdata.concatenate([first, second], concatenate_tables=True)`."
   ]
  }
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