draw_mapped_images_example.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "e59fe3e7-9d84-4c39-afdd-d7f265a3087d",
   "metadata": {
    "tags": []
   },
   "source": [
    "## 0. Import packages"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "7dcdee25-173c-426f-b2d8-cbfaa9f020d8",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "from PIL import Image"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "aa965270-e735-4033-bec7-3fd98f6f56d5",
   "metadata": {},
   "source": [
    "## 1. Read mapped information file\n",
    "Source means H&E slide and target means IHC FoxP3 slide (target images are moving for registartion). We are going to draw only mapped IHC tiles so, drop unnecessary rows (null values).  \n",
    "(Note) All WSIs are tiled by 512x512 px and Thumbnail tiles are 1x1 px."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "00789d5c-d0ad-4c42-9075-8f83c8ecf39f",
   "metadata": {},
   "outputs": [],
   "source": [
    "map_df = pd.read_csv('2466516/2466516_Tumor_HE_FoxP3.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "6dfb114f-f30a-4aef-bf2d-bf7e7bba9e9f",
   "metadata": {},
   "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>source_image_id</th>\n",
       "      <th>source_tile_id</th>\n",
       "      <th>source_index_x</th>\n",
       "      <th>source_index_y</th>\n",
       "      <th>source_wsi_x</th>\n",
       "      <th>source_wsi_y</th>\n",
       "      <th>source_mask_x</th>\n",
       "      <th>source_mask_y</th>\n",
       "      <th>source_filename</th>\n",
       "      <th>source_tissue_ratio</th>\n",
       "      <th>target_image_id</th>\n",
       "      <th>target_tile_id</th>\n",
       "      <th>target_index_x</th>\n",
       "      <th>target_index_y</th>\n",
       "      <th>target_wsi_x</th>\n",
       "      <th>target_wsi_y</th>\n",
       "      <th>target_mask_x</th>\n",
       "      <th>target_mask_y</th>\n",
       "      <th>target_filename</th>\n",
       "      <th>target_tissue_ratio</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2466516_CR13-324 B1_Tumor_HE</td>\n",
       "      <td>1381</td>\n",
       "      <td>8</td>\n",
       "      <td>141</td>\n",
       "      <td>4256</td>\n",
       "      <td>72380</td>\n",
       "      <td>8</td>\n",
       "      <td>141</td>\n",
       "      <td>2466516_CR13-324 B1_Tumor_HE__x4256_y72380.png</td>\n",
       "      <td>0.093750</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2466516_CR13-324 B1_Tumor_HE</td>\n",
       "      <td>1382</td>\n",
       "      <td>8</td>\n",
       "      <td>142</td>\n",
       "      <td>4256</td>\n",
       "      <td>72892</td>\n",
       "      <td>8</td>\n",
       "      <td>142</td>\n",
       "      <td>2466516_CR13-324 B1_Tumor_HE__x4256_y72892.png</td>\n",
       "      <td>0.093750</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2466516_CR13-324 B1_Tumor_HE</td>\n",
       "      <td>1536</td>\n",
       "      <td>9</td>\n",
       "      <td>141</td>\n",
       "      <td>4768</td>\n",
       "      <td>72380</td>\n",
       "      <td>9</td>\n",
       "      <td>141</td>\n",
       "      <td>2466516_CR13-324 B1_Tumor_HE__x4768_y72380.png</td>\n",
       "      <td>0.718750</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2466516_CR13-324 B1_Tumor_HE</td>\n",
       "      <td>1537</td>\n",
       "      <td>9</td>\n",
       "      <td>142</td>\n",
       "      <td>4768</td>\n",
       "      <td>72892</td>\n",
       "      <td>9</td>\n",
       "      <td>142</td>\n",
       "      <td>2466516_CR13-324 B1_Tumor_HE__x4768_y72892.png</td>\n",
       "      <td>0.734375</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2466516_CR13-324 B1_Tumor_HE</td>\n",
       "      <td>1690</td>\n",
       "      <td>10</td>\n",
       "      <td>140</td>\n",
       "      <td>5280</td>\n",
       "      <td>71868</td>\n",
       "      <td>10</td>\n",
       "      <td>140</td>\n",
       "      <td>2466516_CR13-324 B1_Tumor_HE__x5280_y71868.png</td>\n",
       "      <td>0.343750</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19451</th>\n",
       "      <td>2466516_CR13-324 B1_Tumor_HE</td>\n",
       "      <td>39028</td>\n",
       "      <td>251</td>\n",
       "      <td>123</td>\n",
       "      <td>128672</td>\n",
       "      <td>63164</td>\n",
       "      <td>251</td>\n",
       "      <td>123</td>\n",
       "      <td>2466516_CR13-324 B1_Tumor_HE__x128672_y63164.png</td>\n",
       "      <td>0.921875</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19452</th>\n",
       "      <td>2466516_CR13-324 B1_Tumor_HE</td>\n",
       "      <td>39029</td>\n",
       "      <td>251</td>\n",
       "      <td>124</td>\n",
       "      <td>128672</td>\n",
       "      <td>63676</td>\n",
       "      <td>251</td>\n",
       "      <td>124</td>\n",
       "      <td>2466516_CR13-324 B1_Tumor_HE__x128672_y63676.png</td>\n",
       "      <td>0.921875</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19453</th>\n",
       "      <td>2466516_CR13-324 B1_Tumor_HE</td>\n",
       "      <td>39030</td>\n",
       "      <td>251</td>\n",
       "      <td>125</td>\n",
       "      <td>128672</td>\n",
       "      <td>64188</td>\n",
       "      <td>251</td>\n",
       "      <td>125</td>\n",
       "      <td>2466516_CR13-324 B1_Tumor_HE__x128672_y64188.png</td>\n",
       "      <td>0.593750</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19454</th>\n",
       "      <td>2466516_CR13-324 B1_Tumor_HE</td>\n",
       "      <td>39183</td>\n",
       "      <td>252</td>\n",
       "      <td>123</td>\n",
       "      <td>129184</td>\n",
       "      <td>63164</td>\n",
       "      <td>252</td>\n",
       "      <td>123</td>\n",
       "      <td>2466516_CR13-324 B1_Tumor_HE__x129184_y63164.png</td>\n",
       "      <td>0.218750</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19455</th>\n",
       "      <td>2466516_CR13-324 B1_Tumor_HE</td>\n",
       "      <td>39184</td>\n",
       "      <td>252</td>\n",
       "      <td>124</td>\n",
       "      <td>129184</td>\n",
       "      <td>63676</td>\n",
       "      <td>252</td>\n",
       "      <td>124</td>\n",
       "      <td>2466516_CR13-324 B1_Tumor_HE__x129184_y63676.png</td>\n",
       "      <td>0.015625</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>19456 rows × 20 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                    source_image_id  source_tile_id  source_index_x  \\\n",
       "0      2466516_CR13-324 B1_Tumor_HE            1381               8   \n",
       "1      2466516_CR13-324 B1_Tumor_HE            1382               8   \n",
       "2      2466516_CR13-324 B1_Tumor_HE            1536               9   \n",
       "3      2466516_CR13-324 B1_Tumor_HE            1537               9   \n",
       "4      2466516_CR13-324 B1_Tumor_HE            1690              10   \n",
       "...                             ...             ...             ...   \n",
       "19451  2466516_CR13-324 B1_Tumor_HE           39028             251   \n",
       "19452  2466516_CR13-324 B1_Tumor_HE           39029             251   \n",
       "19453  2466516_CR13-324 B1_Tumor_HE           39030             251   \n",
       "19454  2466516_CR13-324 B1_Tumor_HE           39183             252   \n",
       "19455  2466516_CR13-324 B1_Tumor_HE           39184             252   \n",
       "\n",
       "       source_index_y  source_wsi_x  source_wsi_y  source_mask_x  \\\n",
       "0                 141          4256         72380              8   \n",
       "1                 142          4256         72892              8   \n",
       "2                 141          4768         72380              9   \n",
       "3                 142          4768         72892              9   \n",
       "4                 140          5280         71868             10   \n",
       "...               ...           ...           ...            ...   \n",
       "19451             123        128672         63164            251   \n",
       "19452             124        128672         63676            251   \n",
       "19453             125        128672         64188            251   \n",
       "19454             123        129184         63164            252   \n",
       "19455             124        129184         63676            252   \n",
       "\n",
       "       source_mask_y                                   source_filename  \\\n",
       "0                141    2466516_CR13-324 B1_Tumor_HE__x4256_y72380.png   \n",
       "1                142    2466516_CR13-324 B1_Tumor_HE__x4256_y72892.png   \n",
       "2                141    2466516_CR13-324 B1_Tumor_HE__x4768_y72380.png   \n",
       "3                142    2466516_CR13-324 B1_Tumor_HE__x4768_y72892.png   \n",
       "4                140    2466516_CR13-324 B1_Tumor_HE__x5280_y71868.png   \n",
       "...              ...                                               ...   \n",
       "19451            123  2466516_CR13-324 B1_Tumor_HE__x128672_y63164.png   \n",
       "19452            124  2466516_CR13-324 B1_Tumor_HE__x128672_y63676.png   \n",
       "19453            125  2466516_CR13-324 B1_Tumor_HE__x128672_y64188.png   \n",
       "19454            123  2466516_CR13-324 B1_Tumor_HE__x129184_y63164.png   \n",
       "19455            124  2466516_CR13-324 B1_Tumor_HE__x129184_y63676.png   \n",
       "\n",
       "       source_tissue_ratio target_image_id  target_tile_id  target_index_x  \\\n",
       "0                 0.093750             NaN             NaN             NaN   \n",
       "1                 0.093750             NaN             NaN             NaN   \n",
       "2                 0.718750             NaN             NaN             NaN   \n",
       "3                 0.734375             NaN             NaN             NaN   \n",
       "4                 0.343750             NaN             NaN             NaN   \n",
       "...                    ...             ...             ...             ...   \n",
       "19451             0.921875             NaN             NaN             NaN   \n",
       "19452             0.921875             NaN             NaN             NaN   \n",
       "19453             0.593750             NaN             NaN             NaN   \n",
       "19454             0.218750             NaN             NaN             NaN   \n",
       "19455             0.015625             NaN             NaN             NaN   \n",
       "\n",
       "       target_index_y  target_wsi_x  target_wsi_y  target_mask_x  \\\n",
       "0                 NaN           NaN           NaN            NaN   \n",
       "1                 NaN           NaN           NaN            NaN   \n",
       "2                 NaN           NaN           NaN            NaN   \n",
       "3                 NaN           NaN           NaN            NaN   \n",
       "4                 NaN           NaN           NaN            NaN   \n",
       "...               ...           ...           ...            ...   \n",
       "19451             NaN           NaN           NaN            NaN   \n",
       "19452             NaN           NaN           NaN            NaN   \n",
       "19453             NaN           NaN           NaN            NaN   \n",
       "19454             NaN           NaN           NaN            NaN   \n",
       "19455             NaN           NaN           NaN            NaN   \n",
       "\n",
       "       target_mask_y target_filename  target_tissue_ratio  \n",
       "0                NaN             NaN                  NaN  \n",
       "1                NaN             NaN                  NaN  \n",
       "2                NaN             NaN                  NaN  \n",
       "3                NaN             NaN                  NaN  \n",
       "4                NaN             NaN                  NaN  \n",
       "...              ...             ...                  ...  \n",
       "19451            NaN             NaN                  NaN  \n",
       "19452            NaN             NaN                  NaN  \n",
       "19453            NaN             NaN                  NaN  \n",
       "19454            NaN             NaN                  NaN  \n",
       "19455            NaN             NaN                  NaN  \n",
       "\n",
       "[19456 rows x 20 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "map_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "144c9e68-7a0d-4c9c-b20c-ad79e2fcfd92",
   "metadata": {},
   "outputs": [],
   "source": [
    "# drop rows with null values\n",
    "non_null_map_df = map_df.dropna()\n",
    "non_null_map_df.reset_index(inplace=True, drop=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "b16eb799-7542-4e27-8b9a-840c3e59f4ed",
   "metadata": {},
   "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>source_image_id</th>\n",
       "      <th>source_tile_id</th>\n",
       "      <th>source_index_x</th>\n",
       "      <th>source_index_y</th>\n",
       "      <th>source_wsi_x</th>\n",
       "      <th>source_wsi_y</th>\n",
       "      <th>source_mask_x</th>\n",
       "      <th>source_mask_y</th>\n",
       "      <th>source_filename</th>\n",
       "      <th>source_tissue_ratio</th>\n",
       "      <th>target_image_id</th>\n",
       "      <th>target_tile_id</th>\n",
       "      <th>target_index_x</th>\n",
       "      <th>target_index_y</th>\n",
       "      <th>target_wsi_x</th>\n",
       "      <th>target_wsi_y</th>\n",
       "      <th>target_mask_x</th>\n",
       "      <th>target_mask_y</th>\n",
       "      <th>target_filename</th>\n",
       "      <th>target_tissue_ratio</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2466516_CR13-324 B1_Tumor_HE</td>\n",
       "      <td>2356</td>\n",
       "      <td>15</td>\n",
       "      <td>31</td>\n",
       "      <td>7840</td>\n",
       "      <td>16060</td>\n",
       "      <td>15</td>\n",
       "      <td>31</td>\n",
       "      <td>2466516_CR13-324 B1_Tumor_HE__x7840_y16060.png</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2466516_CR13-324 B1_Tumor_FoxP3</td>\n",
       "      <td>2087.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>6873.0</td>\n",
       "      <td>16914.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>2466516_CR13-324 B1_Tumor_FoxP3__x6873_y16914.png</td>\n",
       "      <td>0.078125</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2466516_CR13-324 B1_Tumor_HE</td>\n",
       "      <td>2357</td>\n",
       "      <td>15</td>\n",
       "      <td>32</td>\n",
       "      <td>7840</td>\n",
       "      <td>16572</td>\n",
       "      <td>15</td>\n",
       "      <td>32</td>\n",
       "      <td>2466516_CR13-324 B1_Tumor_HE__x7840_y16572.png</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2466516_CR13-324 B1_Tumor_FoxP3</td>\n",
       "      <td>2088.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>6873.0</td>\n",
       "      <td>17426.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>2466516_CR13-324 B1_Tumor_FoxP3__x6873_y17426.png</td>\n",
       "      <td>0.375000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2466516_CR13-324 B1_Tumor_HE</td>\n",
       "      <td>2358</td>\n",
       "      <td>15</td>\n",
       "      <td>33</td>\n",
       "      <td>7840</td>\n",
       "      <td>17084</td>\n",
       "      <td>15</td>\n",
       "      <td>33</td>\n",
       "      <td>2466516_CR13-324 B1_Tumor_HE__x7840_y17084.png</td>\n",
       "      <td>0.812500</td>\n",
       "      <td>2466516_CR13-324 B1_Tumor_FoxP3</td>\n",
       "      <td>2089.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>6873.0</td>\n",
       "      <td>17938.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>2466516_CR13-324 B1_Tumor_FoxP3__x6873_y17938.png</td>\n",
       "      <td>0.453125</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2466516_CR13-324 B1_Tumor_HE</td>\n",
       "      <td>2510</td>\n",
       "      <td>16</td>\n",
       "      <td>30</td>\n",
       "      <td>8352</td>\n",
       "      <td>15548</td>\n",
       "      <td>16</td>\n",
       "      <td>30</td>\n",
       "      <td>2466516_CR13-324 B1_Tumor_HE__x8352_y15548.png</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2466516_CR13-324 B1_Tumor_FoxP3</td>\n",
       "      <td>2244.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>7385.0</td>\n",
       "      <td>16402.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>2466516_CR13-324 B1_Tumor_FoxP3__x7385_y16402.png</td>\n",
       "      <td>0.250000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2466516_CR13-324 B1_Tumor_HE</td>\n",
       "      <td>2511</td>\n",
       "      <td>16</td>\n",
       "      <td>31</td>\n",
       "      <td>8352</td>\n",
       "      <td>16060</td>\n",
       "      <td>16</td>\n",
       "      <td>31</td>\n",
       "      <td>2466516_CR13-324 B1_Tumor_HE__x8352_y16060.png</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2466516_CR13-324 B1_Tumor_FoxP3</td>\n",
       "      <td>2245.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>7385.0</td>\n",
       "      <td>16914.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>2466516_CR13-324 B1_Tumor_FoxP3__x7385_y16914.png</td>\n",
       "      <td>0.953125</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16991</th>\n",
       "      <td>2466516_CR13-324 B1_Tumor_HE</td>\n",
       "      <td>38719</td>\n",
       "      <td>249</td>\n",
       "      <td>124</td>\n",
       "      <td>127648</td>\n",
       "      <td>63676</td>\n",
       "      <td>249</td>\n",
       "      <td>124</td>\n",
       "      <td>2466516_CR13-324 B1_Tumor_HE__x127648_y63676.png</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2466516_CR13-324 B1_Tumor_FoxP3</td>\n",
       "      <td>39147.0</td>\n",
       "      <td>247.0</td>\n",
       "      <td>121.0</td>\n",
       "      <td>126681.0</td>\n",
       "      <td>61970.0</td>\n",
       "      <td>247.0</td>\n",
       "      <td>121.0</td>\n",
       "      <td>2466516_CR13-324 B1_Tumor_FoxP3__x126681_y6197...</td>\n",
       "      <td>0.843750</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16992</th>\n",
       "      <td>2466516_CR13-324 B1_Tumor_HE</td>\n",
       "      <td>38720</td>\n",
       "      <td>249</td>\n",
       "      <td>125</td>\n",
       "      <td>127648</td>\n",
       "      <td>64188</td>\n",
       "      <td>249</td>\n",
       "      <td>125</td>\n",
       "      <td>2466516_CR13-324 B1_Tumor_HE__x127648_y64188.png</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2466516_CR13-324 B1_Tumor_FoxP3</td>\n",
       "      <td>39148.0</td>\n",
       "      <td>247.0</td>\n",
       "      <td>122.0</td>\n",
       "      <td>126681.0</td>\n",
       "      <td>62482.0</td>\n",
       "      <td>247.0</td>\n",
       "      <td>122.0</td>\n",
       "      <td>2466516_CR13-324 B1_Tumor_FoxP3__x126681_y6248...</td>\n",
       "      <td>0.062500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16993</th>\n",
       "      <td>2466516_CR13-324 B1_Tumor_HE</td>\n",
       "      <td>38873</td>\n",
       "      <td>250</td>\n",
       "      <td>123</td>\n",
       "      <td>128160</td>\n",
       "      <td>63164</td>\n",
       "      <td>250</td>\n",
       "      <td>123</td>\n",
       "      <td>2466516_CR13-324 B1_Tumor_HE__x128160_y63164.png</td>\n",
       "      <td>0.890625</td>\n",
       "      <td>2466516_CR13-324 B1_Tumor_FoxP3</td>\n",
       "      <td>39304.0</td>\n",
       "      <td>248.0</td>\n",
       "      <td>120.0</td>\n",
       "      <td>127193.0</td>\n",
       "      <td>61458.0</td>\n",
       "      <td>248.0</td>\n",
       "      <td>120.0</td>\n",
       "      <td>2466516_CR13-324 B1_Tumor_FoxP3__x127193_y6145...</td>\n",
       "      <td>0.328125</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16994</th>\n",
       "      <td>2466516_CR13-324 B1_Tumor_HE</td>\n",
       "      <td>38874</td>\n",
       "      <td>250</td>\n",
       "      <td>124</td>\n",
       "      <td>128160</td>\n",
       "      <td>63676</td>\n",
       "      <td>250</td>\n",
       "      <td>124</td>\n",
       "      <td>2466516_CR13-324 B1_Tumor_HE__x128160_y63676.png</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2466516_CR13-324 B1_Tumor_FoxP3</td>\n",
       "      <td>39305.0</td>\n",
       "      <td>248.0</td>\n",
       "      <td>121.0</td>\n",
       "      <td>127193.0</td>\n",
       "      <td>61970.0</td>\n",
       "      <td>248.0</td>\n",
       "      <td>121.0</td>\n",
       "      <td>2466516_CR13-324 B1_Tumor_FoxP3__x127193_y6197...</td>\n",
       "      <td>0.421875</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16995</th>\n",
       "      <td>2466516_CR13-324 B1_Tumor_HE</td>\n",
       "      <td>38876</td>\n",
       "      <td>250</td>\n",
       "      <td>126</td>\n",
       "      <td>128160</td>\n",
       "      <td>64700</td>\n",
       "      <td>250</td>\n",
       "      <td>126</td>\n",
       "      <td>2466516_CR13-324 B1_Tumor_HE__x128160_y64700.png</td>\n",
       "      <td>0.171875</td>\n",
       "      <td>2466516_CR13-324 B1_Tumor_FoxP3</td>\n",
       "      <td>39307.0</td>\n",
       "      <td>248.0</td>\n",
       "      <td>123.0</td>\n",
       "      <td>127193.0</td>\n",
       "      <td>62994.0</td>\n",
       "      <td>248.0</td>\n",
       "      <td>123.0</td>\n",
       "      <td>2466516_CR13-324 B1_Tumor_FoxP3__x127193_y6299...</td>\n",
       "      <td>0.421875</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>16996 rows × 20 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                    source_image_id  source_tile_id  source_index_x  \\\n",
       "0      2466516_CR13-324 B1_Tumor_HE            2356              15   \n",
       "1      2466516_CR13-324 B1_Tumor_HE            2357              15   \n",
       "2      2466516_CR13-324 B1_Tumor_HE            2358              15   \n",
       "3      2466516_CR13-324 B1_Tumor_HE            2510              16   \n",
       "4      2466516_CR13-324 B1_Tumor_HE            2511              16   \n",
       "...                             ...             ...             ...   \n",
       "16991  2466516_CR13-324 B1_Tumor_HE           38719             249   \n",
       "16992  2466516_CR13-324 B1_Tumor_HE           38720             249   \n",
       "16993  2466516_CR13-324 B1_Tumor_HE           38873             250   \n",
       "16994  2466516_CR13-324 B1_Tumor_HE           38874             250   \n",
       "16995  2466516_CR13-324 B1_Tumor_HE           38876             250   \n",
       "\n",
       "       source_index_y  source_wsi_x  source_wsi_y  source_mask_x  \\\n",
       "0                  31          7840         16060             15   \n",
       "1                  32          7840         16572             15   \n",
       "2                  33          7840         17084             15   \n",
       "3                  30          8352         15548             16   \n",
       "4                  31          8352         16060             16   \n",
       "...               ...           ...           ...            ...   \n",
       "16991             124        127648         63676            249   \n",
       "16992             125        127648         64188            249   \n",
       "16993             123        128160         63164            250   \n",
       "16994             124        128160         63676            250   \n",
       "16995             126        128160         64700            250   \n",
       "\n",
       "       source_mask_y                                   source_filename  \\\n",
       "0                 31    2466516_CR13-324 B1_Tumor_HE__x7840_y16060.png   \n",
       "1                 32    2466516_CR13-324 B1_Tumor_HE__x7840_y16572.png   \n",
       "2                 33    2466516_CR13-324 B1_Tumor_HE__x7840_y17084.png   \n",
       "3                 30    2466516_CR13-324 B1_Tumor_HE__x8352_y15548.png   \n",
       "4                 31    2466516_CR13-324 B1_Tumor_HE__x8352_y16060.png   \n",
       "...              ...                                               ...   \n",
       "16991            124  2466516_CR13-324 B1_Tumor_HE__x127648_y63676.png   \n",
       "16992            125  2466516_CR13-324 B1_Tumor_HE__x127648_y64188.png   \n",
       "16993            123  2466516_CR13-324 B1_Tumor_HE__x128160_y63164.png   \n",
       "16994            124  2466516_CR13-324 B1_Tumor_HE__x128160_y63676.png   \n",
       "16995            126  2466516_CR13-324 B1_Tumor_HE__x128160_y64700.png   \n",
       "\n",
       "       source_tissue_ratio                  target_image_id  target_tile_id  \\\n",
       "0                 1.000000  2466516_CR13-324 B1_Tumor_FoxP3          2087.0   \n",
       "1                 1.000000  2466516_CR13-324 B1_Tumor_FoxP3          2088.0   \n",
       "2                 0.812500  2466516_CR13-324 B1_Tumor_FoxP3          2089.0   \n",
       "3                 1.000000  2466516_CR13-324 B1_Tumor_FoxP3          2244.0   \n",
       "4                 1.000000  2466516_CR13-324 B1_Tumor_FoxP3          2245.0   \n",
       "...                    ...                              ...             ...   \n",
       "16991             1.000000  2466516_CR13-324 B1_Tumor_FoxP3         39147.0   \n",
       "16992             1.000000  2466516_CR13-324 B1_Tumor_FoxP3         39148.0   \n",
       "16993             0.890625  2466516_CR13-324 B1_Tumor_FoxP3         39304.0   \n",
       "16994             1.000000  2466516_CR13-324 B1_Tumor_FoxP3         39305.0   \n",
       "16995             0.171875  2466516_CR13-324 B1_Tumor_FoxP3         39307.0   \n",
       "\n",
       "       target_index_x  target_index_y  target_wsi_x  target_wsi_y  \\\n",
       "0                13.0            33.0        6873.0       16914.0   \n",
       "1                13.0            34.0        6873.0       17426.0   \n",
       "2                13.0            35.0        6873.0       17938.0   \n",
       "3                14.0            32.0        7385.0       16402.0   \n",
       "4                14.0            33.0        7385.0       16914.0   \n",
       "...               ...             ...           ...           ...   \n",
       "16991           247.0           121.0      126681.0       61970.0   \n",
       "16992           247.0           122.0      126681.0       62482.0   \n",
       "16993           248.0           120.0      127193.0       61458.0   \n",
       "16994           248.0           121.0      127193.0       61970.0   \n",
       "16995           248.0           123.0      127193.0       62994.0   \n",
       "\n",
       "       target_mask_x  target_mask_y  \\\n",
       "0               13.0           33.0   \n",
       "1               13.0           34.0   \n",
       "2               13.0           35.0   \n",
       "3               14.0           32.0   \n",
       "4               14.0           33.0   \n",
       "...              ...            ...   \n",
       "16991          247.0          121.0   \n",
       "16992          247.0          122.0   \n",
       "16993          248.0          120.0   \n",
       "16994          248.0          121.0   \n",
       "16995          248.0          123.0   \n",
       "\n",
       "                                         target_filename  target_tissue_ratio  \n",
       "0      2466516_CR13-324 B1_Tumor_FoxP3__x6873_y16914.png             0.078125  \n",
       "1      2466516_CR13-324 B1_Tumor_FoxP3__x6873_y17426.png             0.375000  \n",
       "2      2466516_CR13-324 B1_Tumor_FoxP3__x6873_y17938.png             0.453125  \n",
       "3      2466516_CR13-324 B1_Tumor_FoxP3__x7385_y16402.png             0.250000  \n",
       "4      2466516_CR13-324 B1_Tumor_FoxP3__x7385_y16914.png             0.953125  \n",
       "...                                                  ...                  ...  \n",
       "16991  2466516_CR13-324 B1_Tumor_FoxP3__x126681_y6197...             0.843750  \n",
       "16992  2466516_CR13-324 B1_Tumor_FoxP3__x126681_y6248...             0.062500  \n",
       "16993  2466516_CR13-324 B1_Tumor_FoxP3__x127193_y6145...             0.328125  \n",
       "16994  2466516_CR13-324 B1_Tumor_FoxP3__x127193_y6197...             0.421875  \n",
       "16995  2466516_CR13-324 B1_Tumor_FoxP3__x127193_y6299...             0.421875  \n",
       "\n",
       "[16996 rows x 20 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "non_null_map_df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c908d246-ad12-4241-9fd2-bf26915a1b7e",
   "metadata": {},
   "source": [
    "## 2. Check original H&E and IHC thumbnail images and draw H&E width & height for canvas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "fdf98e1f-3917-425d-a798-6e1c017bef6f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "IHC Width: 265\n",
      "IHC Height: 158\n"
     ]
    }
   ],
   "source": [
    "# check original IHC thumbnail image\n",
    "ihc_thumbnail_og = Image.open('2466516/2466516_CR13-324 B1_Tumor_FoxP3___thumbnail_tilesize_x-1-y-1.png').convert('RGB')\n",
    "ihc_thumbnail = np.array(ihc_thumbnail_og)\n",
    "print('IHC Width:', ihc_thumbnail_og.width)\n",
    "print('IHC Height:', ihc_thumbnail_og.height)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "036ea9e0-6c6f-486e-a19b-5d920c11f919",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=265x158 at 0x7FDDF8C02210>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ihc_thumbnail_og"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "9011f9b3-5f1c-4715-8f99-0900744bcb2e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "H&E Width: 266\n",
      "H&E Height: 155\n"
     ]
    }
   ],
   "source": [
    "he_thumbnail_og = Image.open('2466516/2466516_CR13-324 B1_Tumor_HE___thumbnail_tilesize_x-1-y-1.png').convert('RGB')\n",
    "print('H&E Width:', he_thumbnail_og.width)\n",
    "print('H&E Height:', he_thumbnail_og.height)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "77f31dc9-954a-4d49-9524-c3c96cff6c67",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=266x155 at 0x7FDDF3E87FD0>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "he_thumbnail_og"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "f18e4d0a-df39-4f1d-91b6-58aed503ef85",
   "metadata": {},
   "outputs": [],
   "source": [
    "# draw blank canvas (same size of H&E thumbnail)\n",
    "canvas = Image.new('RGB', (he_thumbnail_og.width, he_thumbnail_og.height))\n",
    "canvas_array = np.array(canvas)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "124cf65b-36d4-413a-a1cb-4332bf4c10f9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAQoAAACbCAIAAAAV5ELMAAAAjUlEQVR4nO3BAQEAAACAkP6v7ggKAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACgGuPUAAEayCrlAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=266x155 at 0x7FDDF3E5D150>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "canvas"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4350e151-6ac3-4324-bc73-d9d84f221671",
   "metadata": {},
   "source": [
    "## 3. Draw mapped tiles on new canvas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "d62ed1cd-b0cb-417b-bf8a-e8b834064f11",
   "metadata": {},
   "outputs": [],
   "source": [
    "def draw_mapped_thumbnail(canvas_array, non_null_map_df, ihc_thumbnail, thumnail_tile_size):\n",
    "       \n",
    "    for i in range(len(non_null_map_df)):\n",
    "        \n",
    "        target_mask_x = int(non_null_map_df.loc[i, 'target_mask_x'])\n",
    "        target_mask_y = int(non_null_map_df.loc[i, 'target_mask_y'])\n",
    "\n",
    "        source_mask_x = int(non_null_map_df.loc[i, 'source_mask_x'])\n",
    "        source_mask_y = int(non_null_map_df.loc[i, 'source_mask_y'])\n",
    "        \n",
    "        tile = ihc_thumbnail[target_mask_y : target_mask_y + thumnail_tile_size, target_mask_x : target_mask_x + thumnail_tile_size]\n",
    "        canvas_array[source_mask_y : source_mask_y + thumnail_tile_size, source_mask_x : source_mask_x + thumnail_tile_size] = tile\n",
    "    \n",
    "    return canvas_array"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "48b0cf08-f6f6-4f18-a540-c69b7e134d39",
   "metadata": {},
   "outputs": [],
   "source": [
    "thumnail_tile_size = 1\n",
    "mapped_ihc = draw_mapped_thumbnail(canvas_array, non_null_map_df, ihc_thumbnail, thumnail_tile_size)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "e89adfaf-3b4b-41a7-98f1-24bd74fe2cb8",
   "metadata": {},
   "outputs": [],
   "source": [
    "mapped_ihc = Image.fromarray(mapped_ihc)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "c52abac1-13c7-4754-bf36-ed602598f655",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=266x155 at 0x7FDDF3E52950>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mapped_ihc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b45787a9-baa4-4ff1-9b45-4b535b3205d6",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "environment": {
   "kernel": "python3",
   "name": "pytorch-gpu.1-10.m84",
   "type": "gcloud",
   "uri": "gcr.io/deeplearning-platform-release/pytorch-gpu.1-10:m84"
  },
  "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": "3.7.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}