{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.patches as patches\n",
    "from pathlib import Path\n",
    "import numpy as np\n",
    "import os\n",
    "import sys\n",
    "import glob\n",
    "import pandas as pd\n",
    "import xml.etree.ElementTree as et\n",
    "import datetime\n",
    "from skimage.io import imread, imsave\n",
    "from imageio import volread as imread\n",
    "\n",
    "import tifffile\n",
    "import pystackreg\n",
    "from pystackreg import StackReg\n",
    "from skimage.filters import threshold_otsu\n",
    "\n",
    "from pystackreg.util import to_uint16   # make sure version 0.2.5 (not anything below)\n",
    "from ims_to_tiff import convert_to_tif   \n",
    "from tqdm.notebook import tqdm\n",
    "\n",
    "import seaborn as sns\n",
    "import pylab as pl"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "CYCLE_NUMS = 10\n",
    "NUM_FOVS = 211"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "for i in range(CYCLE_NUMS):\n",
    "    if i == 0:\n",
    "        continue\n",
    "    os.makedirs(f'tmat_Cyc_{i}')\n",
    "    os.makedirs(f'reg_bin_Cyc_{i}')\n",
    "    os.makedirs(f'reg_Cyc_{i}') "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# jaccard\n",
    "def jaccard(img1, img2):\n",
    "    assert img1.dtype == 'bool', 'input must be boolean'\n",
    "    assert img2.dtype == 'bool', 'input must be boolean'\n",
    "    AND = np.sum(img1&img2)\n",
    "    OR = np.sum(img1|img2)\n",
    "    J = AND/OR\n",
    "    return J"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "reg_J = pd.DataFrame()\n",
    "base_J = pd.DataFrame()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "cycle 1 field 000 \n",
      "Got threshold\n",
      "cycle 1 field 001 \n",
      "Got threshold\n",
      "cycle 1 field 002 \n",
      "Got threshold\n",
      "cycle 1 field 003 \n",
      "Got threshold\n",
      "cycle 1 field 004 \n",
      "Got threshold\n",
      "cycle 1 field 005 \n",
      "Got threshold\n",
      "cycle 1 field 006 \n",
      "Got threshold\n",
      "cycle 1 field 007 \n",
      "Got threshold\n",
      "cycle 1 field 008 \n",
      "Got threshold\n",
      "cycle 1 field 009 \n",
      "Got threshold\n",
      "cycle 1 field 010 \n",
      "Got threshold\n",
      "cycle 1 field 011 \n",
      "Got threshold\n",
      "cycle 1 field 012 \n",
      "Got threshold\n",
      "cycle 1 field 013 \n",
      "Got threshold\n",
      "cycle 1 field 015 \n",
      "cycle 1 field 016 \n",
      "Got threshold\n",
      "cycle 1 field 017 \n",
      "Got threshold\n",
      "cycle 1 field 018 \n",
      "Got threshold\n",
      "cycle 1 field 019 \n",
      "Got threshold\n",
      "cycle 1 field 022 \n",
      "Got threshold\n",
      "cycle 1 field 023 \n",
      "Got threshold\n",
      "cycle 1 field 024 \n",
      "Got threshold\n",
      "cycle 1 field 025 \n",
      "Got threshold\n",
      "cycle 1 field 026 \n",
      "Got threshold\n",
      "cycle 1 field 027 \n",
      "Got threshold\n",
      "cycle 1 field 028 \n",
      "Got threshold\n",
      "cycle 1 field 029 \n",
      "Got threshold\n",
      "cycle 1 field 030 \n",
      "Got threshold\n",
      "cycle 1 field 031 \n",
      "Got threshold\n",
      "cycle 1 field 032 \n",
      "Got threshold\n",
      "cycle 1 field 033 \n",
      "Got threshold\n",
      "cycle 1 field 034 \n",
      "Got threshold\n",
      "cycle 1 field 035 \n",
      "Got threshold\n",
      "cycle 1 field 036 \n",
      "Got threshold\n",
      "cycle 1 field 037 \n",
      "Got threshold\n",
      "cycle 1 field 038 \n",
      "Got threshold\n",
      "cycle 1 field 039 \n",
      "Got threshold\n",
      "cycle 1 field 040 \n",
      "Got threshold\n",
      "cycle 1 field 041 \n",
      "Got threshold\n",
      "cycle 1 field 042 \n",
      "Got threshold\n",
      "cycle 1 field 043 \n",
      "Got threshold\n",
      "cycle 1 field 044 \n",
      "Got threshold\n",
      "cycle 1 field 045 \n",
      "Got threshold\n",
      "cycle 1 field 046 \n",
      "Got threshold\n",
      "cycle 1 field 047 \n",
      "Got threshold\n",
      "cycle 1 field 048 \n",
      "Got threshold\n",
      "cycle 1 field 049 \n",
      "Got threshold\n",
      "cycle 1 field 050 \n",
      "Got threshold\n",
      "cycle 1 field 051 \n",
      "Got threshold\n",
      "cycle 1 field 052 \n",
      "Got threshold\n",
      "cycle 1 field 053 \n",
      "Got threshold\n",
      "cycle 1 field 054 \n"
     ]
    }
   ],
   "source": [
    "for c in range(CYCLE_NUMS-1):\n",
    "    refs = iter(sorted(glob.glob('tif/Cycle_0/*'))) # list of cycle 0 .tif \n",
    "    movs = iter(sorted(glob.glob(f'tif/Cycle_{c+1}/*'))) # cycle 1, 2, 3, .tif list --> FOV000, 001, (002 = error) 005 006 \n",
    "    for FOV in range(0, NUM_FOVS): # \n",
    "        #sFOV = str(FOV).zfill(NUM_DIGITS_OF_FOVS)\n",
    "        ref_name = next(refs) \n",
    "        ref = imread(ref_name)\n",
    "        ref = ref.astype(np.uint16)\n",
    "        mov_name = next(movs)\n",
    "        mov = imread(mov_name)\n",
    "        mov = mov.astype(np.uint16)\n",
    "        FOV_num = mov_name.split('_F')[1][0:3]\n",
    "        print(f'cycle {c+1} field {FOV_num} ')\n",
    "\n",
    "        ref_max = ref.max(0)\n",
    "        ref_binary = ref_max[0] > threshold_otsu(ref_max[0]) # nuclei channel\n",
    "        mov_max = mov.max(0)\n",
    "        mov_binary = mov_max[0] > threshold_otsu(mov_max[0]) # nuclei channel\n",
    "        print(\"Got threshold\")\n",
    "        sr = StackReg(StackReg.RIGID_BODY)  \n",
    "        tmat = sr.register(ref_binary, mov_binary) \n",
    "        out = sr.transform(mov_binary) \n",
    "        out = pystackreg.util.to_uint16(out) \n",
    "\n",
    "        base_J.loc[FOV_num, str(c+1)] = jaccard(ref_binary, mov_binary)\n",
    "        reg_J.loc[FOV_num, str(c+1)] = jaccard(ref_binary, out.astype('bool'))\n",
    "\n",
    "base_J.to_csv('base_J.csv')\n",
    "reg_J.to_csv('reg_J.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "for c in range(CYCLE_NUMS-1):  \n",
    "    refs = iter(sorted(glob.glob(f'reg_bin_Cyc_{c+1}/*'))) # list of cycle 0 .tif \n",
    "    movs = iter(sorted(glob.glob(f'tif/Cycle_{c+1}/*'))) # cycle 1, 2, 3, .tif list --> FOV000, 001, (002 = error) 005 006 \n",
    "    for FOV in range(0, NUM_FOVS): \n",
    "        #sFOV = str(FOV).zfill(NUM_DIGITS_OF_FOVS)\n",
    "        ref_name = next(refs) \n",
    "        ref_binary = imread(ref_name)\n",
    "        ref_binary = ref_binary.astype(np.uint16)\n",
    "        mov_name = next(movs)\n",
    "        mov = imread(mov_name)\n",
    "        mov = mov.astype(np.uint16)\n",
    "        FOV_num = mov_name[-7:-4]\n",
    "        print(f'cycle {c+1} field {FOV_num} ')\n",
    "\n",
    "        mov_max = mov.max(0)\n",
    "        mov_binary = mov_max[0] > threshold_otsu(mov_max[0]) # nuclei channel\n",
    "        print(\"Got threshold\")\n",
    "        sr = StackReg(StackReg.RIGID_BODY)  \n",
    "        tmat = sr.register(ref_binary, mov_binary) \n",
    "        out = sr.transform(mov_binary) \n",
    "        out = pystackreg.util.to_uint16(out) \n",
    "\n",
    "        base_J.loc[FOV_num, str(c+1)] = jaccard(ref_binary, mov_binary)\n",
    "        reg_J.loc[FOV_num, str(c+1)] = jaccard(ref_binary, out.astype('bool'))\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "      <td>0.831327</td>\n",
       "      <td>0.848544</td>\n",
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       "      <td>0.787741</td>\n",
       "      <td>0.832325</td>\n",
       "      <td>0.783389</td>\n",
       "      <td>0.845732</td>\n",
       "      <td>0.778364</td>\n",
       "      <td>0.836303</td>\n",
       "      <td>0.823650</td>\n",
       "      <td>0.089733</td>\n",
       "      <td>0.090864</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>002</td>\n",
       "      <td>0.867895</td>\n",
       "      <td>0.834530</td>\n",
       "      <td>0.836323</td>\n",
       "      <td>0.846155</td>\n",
       "      <td>0.838482</td>\n",
       "      <td>0.825879</td>\n",
       "      <td>0.755777</td>\n",
       "      <td>0.091409</td>\n",
       "      <td>0.085853</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>003</td>\n",
       "      <td>0.848685</td>\n",
       "      <td>0.821164</td>\n",
       "      <td>0.825071</td>\n",
       "      <td>0.836771</td>\n",
       "      <td>0.829494</td>\n",
       "      <td>0.821183</td>\n",
       "      <td>0.808373</td>\n",
       "      <td>0.077876</td>\n",
       "      <td>0.077259</td>\n",
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       "    <tr>\n",
       "      <td>004</td>\n",
       "      <td>0.868341</td>\n",
       "      <td>0.827034</td>\n",
       "      <td>0.834418</td>\n",
       "      <td>0.846658</td>\n",
       "      <td>0.846231</td>\n",
       "      <td>0.837431</td>\n",
       "      <td>0.829069</td>\n",
       "      <td>0.078293</td>\n",
       "      <td>0.082867</td>\n",
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       "      <td>219</td>\n",
       "      <td>0.919427</td>\n",
       "      <td>0.923595</td>\n",
       "      <td>0.928978</td>\n",
       "      <td>0.928499</td>\n",
       "      <td>0.924689</td>\n",
       "      <td>0.921608</td>\n",
       "      <td>0.902588</td>\n",
       "      <td>0.085393</td>\n",
       "      <td>0.083532</td>\n",
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       "    <tr>\n",
       "      <td>220</td>\n",
       "      <td>0.926771</td>\n",
       "      <td>0.921862</td>\n",
       "      <td>0.931486</td>\n",
       "      <td>0.927531</td>\n",
       "      <td>0.925829</td>\n",
       "      <td>0.923683</td>\n",
       "      <td>0.908319</td>\n",
       "      <td>0.106048</td>\n",
       "      <td>0.109373</td>\n",
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       "    <tr>\n",
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       "      <td>0.843035</td>\n",
       "      <td>0.820273</td>\n",
       "      <td>0.924911</td>\n",
       "      <td>0.923250</td>\n",
       "      <td>0.873090</td>\n",
       "      <td>0.862361</td>\n",
       "      <td>0.903480</td>\n",
       "      <td>0.083897</td>\n",
       "      <td>0.086681</td>\n",
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       "      <td>0.907831</td>\n",
       "      <td>0.899427</td>\n",
       "      <td>0.920391</td>\n",
       "      <td>0.889936</td>\n",
       "      <td>0.878205</td>\n",
       "      <td>0.869757</td>\n",
       "      <td>0.843983</td>\n",
       "      <td>0.063387</td>\n",
       "      <td>0.062072</td>\n",
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       "    <tr>\n",
       "      <td>224</td>\n",
       "      <td>0.913422</td>\n",
       "      <td>0.899074</td>\n",
       "      <td>0.922261</td>\n",
       "      <td>0.923272</td>\n",
       "      <td>0.921472</td>\n",
       "      <td>0.916376</td>\n",
       "      <td>0.902986</td>\n",
       "      <td>0.042471</td>\n",
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       "            1         2         3         4         5         6         7  \\\n",
       "000  0.865976  0.831327  0.848544  0.855196  0.842881  0.831541  0.826845   \n",
       "001  0.787741  0.832325  0.783389  0.845732  0.778364  0.836303  0.823650   \n",
       "002  0.867895  0.834530  0.836323  0.846155  0.838482  0.825879  0.755777   \n",
       "003  0.848685  0.821164  0.825071  0.836771  0.829494  0.821183  0.808373   \n",
       "004  0.868341  0.827034  0.834418  0.846658  0.846231  0.837431  0.829069   \n",
       "..        ...       ...       ...       ...       ...       ...       ...   \n",
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       "220  0.926771  0.921862  0.931486  0.927531  0.925829  0.923683  0.908319   \n",
       "221  0.843035  0.820273  0.924911  0.923250  0.873090  0.862361  0.903480   \n",
       "222  0.907831  0.899427  0.920391  0.889936  0.878205  0.869757  0.843983   \n",
       "224  0.913422  0.899074  0.922261  0.923272  0.921472  0.916376  0.902986   \n",
       "\n",
       "            8         9  \n",
       "000  0.064491  0.060491  \n",
       "001  0.089733  0.090864  \n",
       "002  0.091409  0.085853  \n",
       "003  0.077876  0.077259  \n",
       "004  0.078293  0.082867  \n",
       "..        ...       ...  \n",
       "219  0.085393  0.083532  \n",
       "220  0.106048  0.109373  \n",
       "221  0.083897  0.086681  \n",
       "222  0.063387  0.062072  \n",
       "224  0.042471  0.044882  \n",
       "\n",
       "[211 rows x 9 columns]"
      ]
     },
     "execution_count": 110,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "base_J"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>002</td>\n",
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       "      <td>0.921349</td>\n",
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       "      <td>0.928549</td>\n",
       "      <td>0.923593</td>\n",
       "      <td>0.925306</td>\n",
       "      <td>0.923466</td>\n",
       "      <td>0.921401</td>\n",
       "      <td>0.730665</td>\n",
       "      <td>0.778721</td>\n",
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       "      <td>004</td>\n",
       "      <td>0.932111</td>\n",
       "      <td>0.931607</td>\n",
       "      <td>0.929821</td>\n",
       "      <td>0.924094</td>\n",
       "      <td>0.923928</td>\n",
       "      <td>0.926600</td>\n",
       "      <td>0.924519</td>\n",
       "      <td>0.736601</td>\n",
       "      <td>0.784969</td>\n",
       "    </tr>\n",
       "    <tr>\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",
       "      <td>219</td>\n",
       "      <td>0.932129</td>\n",
       "      <td>0.932761</td>\n",
       "      <td>0.928983</td>\n",
       "      <td>0.928499</td>\n",
       "      <td>0.924655</td>\n",
       "      <td>0.921275</td>\n",
       "      <td>0.920549</td>\n",
       "      <td>0.681256</td>\n",
       "      <td>0.709819</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>220</td>\n",
       "      <td>0.938375</td>\n",
       "      <td>0.933008</td>\n",
       "      <td>0.931486</td>\n",
       "      <td>0.927531</td>\n",
       "      <td>0.925829</td>\n",
       "      <td>0.923683</td>\n",
       "      <td>0.918474</td>\n",
       "      <td>0.646750</td>\n",
       "      <td>0.717417</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>221</td>\n",
       "      <td>0.926381</td>\n",
       "      <td>0.916218</td>\n",
       "      <td>0.924911</td>\n",
       "      <td>0.923250</td>\n",
       "      <td>0.915766</td>\n",
       "      <td>0.917855</td>\n",
       "      <td>0.915586</td>\n",
       "      <td>0.545364</td>\n",
       "      <td>0.641473</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>222</td>\n",
       "      <td>0.929462</td>\n",
       "      <td>0.926751</td>\n",
       "      <td>0.924992</td>\n",
       "      <td>0.922224</td>\n",
       "      <td>0.918397</td>\n",
       "      <td>0.912936</td>\n",
       "      <td>0.913512</td>\n",
       "      <td>0.675755</td>\n",
       "      <td>0.710442</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>224</td>\n",
       "      <td>0.930064</td>\n",
       "      <td>0.925282</td>\n",
       "      <td>0.922428</td>\n",
       "      <td>0.923272</td>\n",
       "      <td>0.921472</td>\n",
       "      <td>0.916140</td>\n",
       "      <td>0.917967</td>\n",
       "      <td>0.681951</td>\n",
       "      <td>0.703718</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>211 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            1         2         3         4         5         6         7  \\\n",
       "000  0.932920  0.930701  0.920999  0.925668  0.920605  0.921009  0.918326   \n",
       "001  0.930067  0.929592  0.925308  0.923742  0.920586  0.920491  0.916051   \n",
       "002  0.934178  0.926260  0.924048  0.921349  0.918375  0.919429  0.843020   \n",
       "003  0.924703  0.932409  0.928549  0.923593  0.925306  0.923466  0.921401   \n",
       "004  0.932111  0.931607  0.929821  0.924094  0.923928  0.926600  0.924519   \n",
       "..        ...       ...       ...       ...       ...       ...       ...   \n",
       "219  0.932129  0.932761  0.928983  0.928499  0.924655  0.921275  0.920549   \n",
       "220  0.938375  0.933008  0.931486  0.927531  0.925829  0.923683  0.918474   \n",
       "221  0.926381  0.916218  0.924911  0.923250  0.915766  0.917855  0.915586   \n",
       "222  0.929462  0.926751  0.924992  0.922224  0.918397  0.912936  0.913512   \n",
       "224  0.930064  0.925282  0.922428  0.923272  0.921472  0.916140  0.917967   \n",
       "\n",
       "            8         9  \n",
       "000  0.763936  0.776350  \n",
       "001  0.658418  0.762660  \n",
       "002  0.718869  0.748968  \n",
       "003  0.730665  0.778721  \n",
       "004  0.736601  0.784969  \n",
       "..        ...       ...  \n",
       "219  0.681256  0.709819  \n",
       "220  0.646750  0.717417  \n",
       "221  0.545364  0.641473  \n",
       "222  0.675755  0.710442  \n",
       "224  0.681951  0.703718  \n",
       "\n",
       "[211 rows x 9 columns]"
      ]
     },
     "execution_count": 111,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "reg_J"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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1EXFQnmcecFVEHDbO8kuBpQC9vb0LBgcHWyp0ZGSEnp6elpYtlds8NbjN3XPbhs1jhg+bu0dHtjPR9i5cuHBNRPRXj5/exLJvBk6SdAKwM/AK0hn5TEnT81n4fsBD4y0cEcuB5QD9/f0xMDDQUgOGhoZoddlSuc1Tg9vcPYuXXTlmeO1ZAx3ZTqfa27ALJSI+FxH7RUQfcAZwTUScBVwLnJpnWwRc3vbqzMyspolcB/5Z4JOS7iH1iX+9PSWZmVkzmulCeUlEDAFD+fZ9wJHtL8nMzJrhT2KamRXKAW5mVigHuJlZoRzgZmaFcoCbmRXKAW5mVigHuJlZoRzgZmaFcoCbmRXKAW5mVigHuJlZoRzgZmaFcoCbmRXKAW5mVigHuJlZoRzgZmaFcoCbmRXKAW5mVigHuJlZoRzgZmaFcoCbmRXKAW5mVigHuJlZoRzgZmaFcoCbmRXKAW5mVigHuJlZoRzgZmaFcoCbmRXKAW5mVigHuJlZoRzgZmaFcoCbmRXKAW5mVqiGAS5pZ0k3SbpV0h2S/jyPf6WkGyXdLeliSTM6X66ZmY1q5gz8OeAdEfE64HDgeElHAecA50XEwcAmYEnnyjQzs2oNAzySkTy4Y/4L4B3ApXn8CuCUjlRoZmbjUkQ0nkmaBqwBDgLOB/47cENEHJSnzwO+HxGHjrPsUmApQG9v74LBwcGWCh0ZGaGnp6elZUvlNk8NbnP33LZh85jhw+bu0ZHtTLS9CxcuXBMR/dXjpzezcES8ABwuaSZwGXDIeLPVWHY5sBygv78/BgYGmq15jKGhIVpdtlRu89TgNnfP4mVXjhlee9ZAR7bTqfZu1VUoETEMDAFHATMljT4B7Ac81N7SzMysnmauQtk7n3kjaRfgWOAu4Frg1DzbIuDyThVpZmZbaqYLZQ6wIveD7wBcEhFXSLoTGJT0V8DNwNc7WKeZ2YT1VXWZlK5hgEfEz4Ejxhl/H3BkJ4oyM7PG/ElMM7NCOcDNzArlADczK5QD3MysUA5wM7NCOcDNzArlADczK5QD3MysUA5wM7NCOcDNzArlADczK5QD3MysUA5wM7NCOcDNzArlADczK5QD3MysUA5wM7NCOcDNzArlADczK5QD3MysUA5wM7NCOcDNzArlADczK5QD3MysUA5wM7NCOcDNzArlADczK5QD3MysUNO7XYCZWbv0LbtyzPDas0/sUiWTw2fgZmaFcoCbmRXKAW5mVigHuJlZoRoGuKR5kq6VdJekOyR9Io/fS9K/Sro7/9+z8+WamdmoZs7Anwc+FRGHAEcBfyJpPrAMuDoiDgauzsNmZjZJGgZ4RGyMiP+Xbz8F3AXMBU4GVuTZVgCndKpIMzPbkiKi+ZmlPmAVcCiwLiJmVkzbFBFbdKNIWgosBejt7V0wODjYUqEjIyP09PS0tGyp3OapwW2u77YNm8cMHzZ3j5bnrZ5erd66J2Kix3jhwoVrIqK/enzTAS6pB/gx8MWI+K6k4WYCvFJ/f3+sXr16K0tPhoaGGBgYaGnZUrnNU4PbXN/WfDin0bzV06t16oM/Ez3GksYN8KauQpG0I/DPwLci4rt59COS5uTpc4BHW67OzMy2WjNXoQj4OnBXRJxbMWklsCjfXgRc3v7yzMyslma+C+XNwAeB2yTdksd9HjgbuETSEmAdcFpnSjQzs/E0DPCIuA5QjcnHtLccMzNrlj+JaWZWKAe4mVmhHOBmZoXyDzqYWVGm2o821OMzcDOzQjnAzcwK5QA3MyuU+8DNbLvV6LtPSuczcDOzQjnAzcwK5QA3MyuUA9zMrFAOcDOzQjnAzcwK5QA3MyuUrwM3s6K181rvynWV8B0rPgM3MyuUA9zMrFAOcDOzQjnAzcwK5QA3MyuUA9zMrFAOcDOzQjnAzcwK5Q/ymNk2ZXv/EYZ28hm4mVmhHOBmZoVygJuZFcoBbmZWKAe4mVmhHOBmZoVygJuZFcoBbmZWqIYBLukbkh6VdHvFuL0k/auku/P/PTtbppmZVWvmDPwC4PiqccuAqyPiYODqPGxmZpOoYYBHxCrgiarRJwMr8u0VwCltrsvMzBpotQ+8NyI2AuT/+7SvJDMza4YiovFMUh9wRUQcmoeHI2JmxfRNETFuP7ikpcBSgN7e3gWDg4MtFToyMkJPT09Ly5bKbZ4a3OaxbtuweZKrGd9hc/do27omeowXLly4JiL6q8e3+m2Ej0iaExEbJc0BHq01Y0QsB5YD9Pf3x8DAQEsbHBoaotVlS+U2Tw1u81iLt5FvI1x71kDb1tWpY9xqF8pKYFG+vQi4vD3lmJlZs5q5jPA7wPXA70p6UNIS4GzgOEl3A8flYTMzm0QNu1Ai4swak45pcy1mZrYV/ElMM7NCOcDNzArlADczK5R/1NjMuso/Ytw6n4GbmRXKAW5mVigHuJlZoRzgZmaFcoCbmRXKAW5mVigHuJlZoRzgZmaFcoCbmRXKAW5mVigHuJlZoRzgZmaFcoCbmRXKAW5mVigHuJlZoRzgZmaFcoCbmRXKAW5mVigHuJlZoRzgZmaFcoCbmRXKAW5mVigHuJlZoRzgZmaFmt7tAsxs6rltw2YWL7uy22UUz2fgZmaFcoCbmRXKAW5mVigHuJlZoSb0Jqak44H/AUwDvhYRZ7elKjPrur6qNxnXnn1iy8tW+9RhLZVkVVo+A5c0DTgfeDcwHzhT0vx2FWZmZvVNpAvlSOCeiLgvIn4DDAInt6csMzNrZCIBPhdYXzH8YB5nZmaTYCJ94BpnXGwxk7QUWJoHRyT9ssXtzQYeb3HZUrnNU0MRbdY57VvXxwtoczvby8Tbe8B4IycS4A8C8yqG9wMeqp4pIpYDyyewHQAkrY6I/omupyRu89TgNm//OtXeiXSh/Aw4WNIrJc0AzgBWtqcsMzNrpOUz8Ih4XtLHgB+SLiP8RkTc0bbKzMysrgldBx4RVwFXtamWRibcDVMgt3lqcJu3fx1pryK2eN/RzMwK4I/Sm5kVapsLcEnHS/qlpHskLRtn+k6SLs7Tb5TUN/lVtlcTbf6kpDsl/VzS1ZLGvaSoJI3aXDHfqZJCUtFXLDTTXkmn5+N8h6RvT3aN7dbE/Xp/SddKujnft0/oRp3tJOkbkh6VdHuN6ZL093mf/FzS6ye0wYjYZv5Ib4beCxwIzABuBeZXzfNR4B/z7TOAi7td9yS0eSGwa779kanQ5jzf7sAq4Aagv9t1d/gYHwzcDOyZh/fpdt2T0OblwEfy7fnA2m7X3YZ2vw14PXB7jeknAN8nfY7mKODGiWxvWzsDb+bj+ScDK/LtS4FjJI33oaJSNGxzRFwbEc/kwRtI19yXrNmvYfhL4G+AZyezuA5opr1/DJwfEZsAIuLRSa6x3ZppcwCvyLf3YJzPkZQmIlYBT9SZ5WTgwkhuAGZKmtPq9ra1AG/m4/kvzRMRzwObgVmTUl1nbO1XEiwhPYOXrGGbJR0BzIuIKyazsA5p5hi/Gni1pJ9KuiF/02fJmmnzF4APSHqQdDXbf5yc0rqqrV9Bsq39JmYzH89v6iP8BWm6PZI+APQDb+9oRZ1Xt82SdgDOAxZPVkEd1swxnk7qRhkgvcL6iaRDI2K4w7V1SjNtPhO4ICL+TtLRwDdzm1/sfHld09b82tbOwJv5eP5L80iaTnrpVe8ly7auqa8kkHQs8KfASRHx3CTV1imN2rw7cCgwJGktqa9wZcFvZDZ7v748In4bEfcDvyQFeqmaafMS4BKAiLge2Jn0nSHbs6Ye783a1gK8mY/nrwQW5dunAtdEfnegUA3bnLsTvkIK79L7RqFBmyNic0TMjoi+iOgj9fufFBGru1PuhDVzv/4e6c1qJM0mdancN6lVtlczbV4HHAMg6RBSgD82qVVOvpXAH+SrUY4CNkfExpbX1u13bWu8S/sr0jvYf5rH/QXpAQzpIP8TcA9wE3Bgt2uehDb/CHgEuCX/rex2zZ1uc9W8QxR8FUqTx1jAucCdwG3AGd2ueRLaPB/4KekKlVuAd3a75ja0+TvARuC3pLPtJcCHgQ9XHOfz8z65baL3a38S08ysUNtaF4qZmTXJAW5mVigHuJlZoRzgZmaFcoCbmRXKAW5mVigHuJlZoRzgZmaF+v+vz/ChpATcLwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "for c in range(CYCLE_NUMS-1):\n",
    "    base_J.hist(column=f'{c+1}', bins = 80, range=[0, 1])\n",
    "    pl.suptitle(f\"Cycle {c+1} Before Registration Jaccard Scores\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "for c in range(CYCLE_NUMS-1):\n",
    "    reg_J.hist(column = f'{c+1}', bins = 80, range=[0, 1])\n",
    "    pl.suptitle(f\"Cycle {c+1} After Registration Jaccard Scores\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "for c in range(CYCLE_NUMS-1):\n",
    "    pyplot.hist(reg_J[f'{c+1}'], bins = 50, alpha=0.5, label='reg_J')\n",
    "    pyplot.hist(base_J[f'{c+1}'], bins = 50, alpha=0.5, label='base_J')\n",
    "    pyplot.legend(loc='upper right')\n",
    "    plt.title(f'Cycle {c+1}')\n",
    "    pyplot.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "delta_J = reg_J - base_J\n",
    "for c in range(CYCLE_NUMS-1):\n",
    "    delta_J.hist(column = f'{c+1}', bins = 80, range=[0, 0.8])\n",
    "    pl.suptitle(f\"Delta Jaccard Scores\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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zmMroWNHx+s5UqSb2MP5eDU0iNjPrRJVmQ3TKidjMasU9YjOzARtrpBlumUxOxGZWK8M4NDF8fzrMzNpohDpeikg6TNIvJN0p6eR+xVxUBvNESTv268HNzFKLUMdLO5KmAp8FDicr8fA2SXv2I+aiHvFHgesl/UDSeyRt1Y8gzMxSSVhrYn/gzoi4KyJWAxcAR/Yj5qJEfBewA1lC3he4XdJ3JB2b15+YkKQRSYslLV705N0JwzUza6+boYnmXJUvI01NbQ/c2/TzinxdckUH6yIiGsCVwJWSppN1098GfAKYsIccEQuBhQC37vIXQzh0bmbDqptZE825agITjV30JZ8VJeJ1AomINcBlwGWSNupHQGZmvUiYKVcAzcfIdgBWpmv+D4oS8V+22hARTyeOxcysZ6lKEAA3ArtJ2gW4D3grcEyqxpsV1SP+ZT8e1MysX1LVBYmIUUnvBa4ApgJnR8RtSRofxyd0mFmtpLw4c0R8C/hWwiYn5ERsZrUSEx5jq7a+J+JUpxtWrXygrV+qdtpsqt+HKpWvTGXU9YjNzAbLPWIzswFLOUY8WZyIzaxW3CM2Mxsw94jNzAZszD1iM7PBGsIrJbVPxJJmkJ3WtzIirpZ0DHAgsAxYmNeeMDOrjEYNe8Tn5PeZKelYYBZwCXAIWa3OY/sbnplZd4ZxZnRRIt4rIl4kaRpZ0YvtImJM0nnAklY75TU9RwD+eYu9ePMmOycL2MysnToerJuSD09sDMwEZgO/AzYAprfaqbnG5y1zXY/YzCZPYwhPwy1KxF8A7iCrPDQfuEjSXcABZJcNMTOrlLFBB1BCURnMMyX9T357paRzgUOBz0fEDZMRoJlZN2o3awKyBNx0+zFgUV8jMjPrQR1nTZiZDZVhPCjlRGxmtVLLoYmqqFo9WOu/Ker9TU94/bJaUoLXGKBRoexXx+lrZmZDZaw6fxM65kRsZrXiHrGZ2YA5EZuZDdgwHhZwIjazWqllj1jSc4GjgB2BUeBXwPkR8XifYzMz69ownuI8pd1GSScCnwM2BPYDNiJLyD+RdHDfozMz61JDnS9V0TYRAycAh0XEv5DVmNgzIuYDhwFnttpJ0oikxZIWL3ry7nTRmpkVaHSxVEVRIoY/DF9sAGwCEBH3UFAGMyLmRcQ81yI2s8k0jIm4aIz4LOBGST8FDgJOB5C0FVldYjOzShnGk3CLymB+RtLVwB7ApyLijnz9Q2SJ2cysUqo09tupTspg3gbcNgmxmJn1bBhnTXgesZnVSmMIByeciM2sVqp0EK5TfU/Eo2OdTMyYHFW7puATT2+QpJ0ZU9N8GVszmua9SlV6so5lMMcaaV7jFK8NVO/1SWH4+sPuEZtZzbhHbGY2YKOJvi0UkbQ3fzjzeBR4T9mLKldn3MDMLIHoYunRGcCCiNgbOCX/uRT3iM2sViZxaCKATfPbs4GVbe7blhOxmdXKJE5fOwm4QtInyEYXDizbkBOxmdVKN2lY0ggw0rRqYUQsbNp+NbDtBLvOBw4BPhARF0t6C/AFsuJoXXMiNrNa6WZoIk+6C9tsb5lYJZ0LvD//8SKy2jyl+GCdmdXKGNHx0qOVwCvy268iu2hGKUWF4WdL+ldJd0h6JF+W5es2a7Pf7+sRX/LU8rKxmZl1bRLLYJ4AfFLSEuDjrDvE0ZWioYkLge8BB0fE/QCStgWOJeuKv3qinZq7+zfteOQwnuhiZkMqJulgXUT8ENg3RVtFQxNzI+L0tUk4f/D7I+J0YKcUAZiZpTSMheGLEvHdkj4saZu1KyRtI+kjwL39Dc3MrHsNouOlKooS8V8Cc4BrJf1O0u+Aa4AtgKP7HJuZWdcm8cy6ZIqu0PEo8JF8WYek44Bz+hSXmVkpo5VKsZ3pZfragmRRmJklEl38q4q2PWJJt7TaBGzTYtu4NroNaWKR4DUbS3Qxq1S1YKtWCbZKdYQhTTxViiWlVPGkSkVVenWqdBCuU0XT17YB/hx4dNx6AT/uS0RmZj2oUk+3U0WJ+HJgVkTcPH6DpGv6EpGZWQ9q1yOOiHe32XZM+nDMzHozlmIcc5K56I+Z1UqV5gd3yonYzGqljmPEZmZDpXZjxGZmw2YYhyb6Uo+4uQzmxS6DaWaTaBhP6CidiCV9u9W2iFgYEfMiYt6bZs0t+xBmZl0bi+h4qYqiM+v2abUJ2Dt9OGZmvRnGoYmiMeIbgWuZ+AzGllfoMDMblDoerFsG/E1E/NG1mCS5HrGZVU6Vxn47VZSIT6P1OPL70oZiZta72g1NRMSiNps3TxyLmVnPokIH4TrVyzziBXRQGL5Kr8kURZKynKnKaVbopQHSlYyskkaols/LWhur3G9Wsb7XI66SVLWRbXg4Ca9/ajc0gesRm9mQqePQhOsRm9lQqV2P2PWIzWzY1HH6mpnZUKnSqcudciI2s1qp3dCEmdmwcSI2MxuwYZw10bYMpqRNJf0/SV+WdMy4bf/ZZr/f1yO+xPWIzWwSNYiOl6ooqkd8Dtmc4YuBt0q6WNIG+bYDWu3UXI/4ja5HbGaTaBgLwxcNTTw3It6U3/6apPnA9yQd0ee4zMxKGYvhK4RZlIg3kDQlIntmEfExSSuA64BZfY/OzKxLtRsjBr4BvKp5RUR8Cfh7YHW/gjIzK2sYx4iLzqz7cIv135H08f6EZGZWXpXGfjvVy1WcFySLwswskUZEx0svJB0t6TZJDUnzxm17kaSf5NtvlbRhu7bWqzKYqdS1tGIjXCfUypk6pToHyCaxR7wUeCPw380rJU0DzgP+KiKWSJoDrGnXkMtgmlmtTNasiYhYBqA/LnT+GuCWiFiS3++RorZcBtPMaqWbIQdJI8BI06qFEbGwxxB2B0LSFcBWwAURcUa7HVwG08xqpZuhiTzptky8kq4Gtp1g0/yI+HqL3aYBLwf2A1YB35X0s4j4bqvHca0JM6uVXg/CNYuIQ0vstgK4NiIeBpD0LWAfoGUi7mXWhJlZ5VTgFOcrgBdJmpkfuHsFcHu7HZyIzaxWxmKs46UXko7KzzR+KfDNfEyYiHgU+BRwI3AzcFNEfLNdWx6aMLNamaxTnCPiUuDSFtvOI5vC1pG+9IhdBtPMBmUYT3Euqke8raT/kvRZSXMknZafJXKhpOe02s9lMM1sUCKi46UqinrEXyQbZL4X+D7wNPA64AfA5/oamZlZCZN1inNKhWfWRcS/A0h6T0Scnq//d0kt5xibmQ3KMBb9KUrEzT3mc8dtm5o4FjOzntWxMPzXJc2KiKci4p/WrpT0POAX/Q3NzKx7VRr77VTRKc6ntFh/p6S28+LMzAahSmO/nXI9YjOrlWGcNTE09Yj/uNJc98YaaertpqpHXLX6v1Wrs1yl1ycqFAtQucNRo43qnKRbpfnBnXI9YjOrlSr1dDvlesRmViu1mzXhesRmNmyG8WCdi/6YWa3UcWjCzGyo1PHMOjOzobJe9IglbR0RD/YjGDOzXg3jGHHRZOctxi1zgOXA5sAWbfYbARbny0gHk6oL79Ph5Gy3MwSxuB2/517WXZS/QBOS1ADuHrd6B7KL40VE7Npd2m/5OIsjYp7b6V87VYrF7UxOO1WKJWU7dVR0OsyHyYr7HBERu0TELsCK/HaSJGxmtr5rm4gj4hPA8cApkj4laROqd3almdlQKzxBPCJWRMTRZFfouAqY2Yc4FrqdvrdTpVjczuS0U6VYUrZTO23HiP/oztJGwHMjYqmk4yLinP6FZma2fugqEa+zo3RPROyUOB4zs/VO0VWcb2mx3EqiMpiSDpP0C0l3Sjq5ZBtnS3pQ0tIe4thR0vclLZN0m6T3l2xnQ0k3SFqSt9NT3WZJUyX9XNLlPbSxPL/69s2SFvfQzmaSFkm6I3+dXlqijefncaxdnpB0Uol2PpC/vkslnS9pw27byNt5f97Gbd3GMdHnTtIWkq6S9Kv8/81LtHF0Hk9DUkezDFq082/5e3WLpEslbVaynY/mbdws6UpJ25Vpp2nbhySFpC07eW7rhYJ5fw8AewM7j1vmAisTzCucCvwa2BWYASwB9izRzkHAPsDSHmJ5DrBPfnsT4JclYxFZxTqA6cD1wAE9xPVB4KvA5T20sRzYMsH79SXg+Pz2DGCzBO///cDOXe63PfAbYKP85wuBd5V4/BcCS8mOe0wDrgZ26+VzB5wBnJzfPhk4vUQbewDPB64B5vUQy2uAafnt04tiadPOpk23TwQ+V6adfP2OwBVk02J7/kzWZSk6WLe2DObd45bl+YekV/sDd0bEXRGxGrgAOLLbRiLiOuB3vQQSEb+NiJvy208Cy8h+4bttJyLiqfzH6flSavxH0g7A64CzyuyfkqRNyX65vgAQEasj4rEemz0E+HVEjJ+r3olpwEaSppEl0pUl2tgD+GlErIqIUeBa4KhOd27xuTuS7A8W+f9v6LaNiFgWEV1dE7JFO1fmzwvgp2TnAJRp54mmHzemg89zm9/JM8mmxXr2VZOi6WvvjogfttiWogzm9sC9TT+voETyS03SXODFZL3ZMvtPlXQz8CBwVUSUagf4NNmHttcCqwFcKelnkkZKtrEr8BBwTj5UcpakjXuM663A+d3uFBH3AZ8A7gF+CzweEVeWePylwEGS5kiaCbyWrMfWi20i4rd5nL8Ftu6xvVT+Gvh22Z0lfUzSvcDbgQmvZdlBG0cA90XEkrJx1NWgr28y0fVnBvqXUtIs4GLgpHE9gY5FxFhE7E3WA9lf0gtLxPF64MGI+FmZGMZ5WUTsAxwO/B9JB5VoYxrZV83/iogXA/9L9tW7FEkzgCOAi0rsuzlZz3MXYDtgY0nv6LadiFhG9pX9KuA7ZENjo213GkKS5pM9r6+UbSMi5kfEjnkb7y0Rw0xgPiWTeN0NOhGvYN0eyA6U+4qZhKTpZEn4KxFxSa/t5V/drwEOK7H7y4AjJC0nG7J5laTzSsaxMv//QeBSsiGhbq0gO6tybe9+EVliLutw4KaIeKDEvocCv4mIhyJiDXAJcGCZICLiCxGxT0QcRPZV+ldl2mnygKTnAOT/D7RAlqRjgdcDb4+IFJ2crwJvKrHfc8n+cC7JP9M7ADdJ2jZBTENv0In4RmA3SbvkPaS3ApcNIhBJIhv/XBYRn+qhna3WHp1WNu/6UOCObtuJiH+IiB0iYi7Z6/K9iOi61ydpY2VnRJIPJbyG7Ct5t/HcD9wr6fn5qkOA27ttp8nbKDEskbsHOEDSzPx9O4RsTL9rkrbO/98JeGMPMa11GXBsfvtY4Os9tleapMOAj5CVKFjVQzu7Nf14BOU+z7dGxNYRMTf/TK8gOzh+f9m4amXQRwvJxuV+STZ7Yn7JNs4nGytcQ/YGv7tEGy8nGxa5Bbg5X15bop0XAT/P21kKnJLgNTqYkrMmyMZ2l+TLbWVf47ytvckq6t0CfA3YvGQ7M4FHgNk9xLKALCEsBb4MbFCynR+Q/UFZAhzS6+eOrELhd8l61t+lTZXCNm0cld9+lmzm0hUlY7mT7BjM2s9zJ7MdJmrn4vx1vgX4BrB9mXbGbV+OZ038fil9QoeZmaUx6KEJM7P1nhOxmdmAORGbmQ2YE7GZ2YA5EZuZDZgTsZnZgDkRm5kNmBOxmdmA/X/Sw4U1fQWBiAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Making the table for the X and Y shift heatmap   ------ THIS TAKES A VERY SHORT AMOUNT OF TIME\n",
    "\n",
    "for idx, c in enumerate(range(CYCLE_NUMS-1)):\n",
    "    tmats = iter(glob.glob(f'tmat_Cyc_{c+1}/*'))\n",
    "    dfX = pd.DataFrame(0, index=['0','1','2', '3', '4', '5', '6', '7', '8', '9', '10', '11', '12', '13', '14'], \n",
    "                   columns=['0','1','2', '3', '4', '5', '6', '7', '8', '9', '10', '11', '12', '13', '14'])\n",
    "    dfY = pd.DataFrame(0, index=['0','1','2', '3', '4', '5', '6', '7', '8', '9', '10', '11', '12', '13', '14'], \n",
    "                   columns=['0','1','2', '3', '4', '5', '6', '7', '8', '9', '10', '11', '12', '13', '14'])\n",
    "    for sFOV in range(0,NUM_FOVS):\n",
    "        tmat_name = next(tmats)\n",
    "        tmat_loaded = np.load(tmat_name)\n",
    "        moveX = tmat_loaded[0,2]\n",
    "        moveY = tmat_loaded[1,2]\n",
    "        \n",
    "        col = str(int(tmat_name.split('_')[6]))\n",
    "        row = str(int(tmat_name.split('_')[7][0:3]))\n",
    "\n",
    "        dfX.loc[row, col] = moveX\n",
    "        dfY.loc[row, col] = moveY\n",
    "        \n",
    "    sns.heatmap(dfX, vmin=-20, vmax=20)\n",
    "    pl.suptitle(f\"Cycle {c+1} X-shift\")\n",
    "    \n",
    "#     fig, axes = plt.subplots()\n",
    "#     sns.heatmap(dfY, vmin=-100, vmax=100)\n",
    "#     pl.suptitle(f\"Cycle {c+1} Y-shift\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 170,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Making the table for the X and Y shift heatmap   ------ THIS TAKES A VERY SHORT AMOUNT OF TIME\n",
    "\n",
    "for idx, c in enumerate(range(CYCLE_NUMS-1)):\n",
    "    tmats = iter(glob.glob(f'tmat_Cyc_{c+1}/*'))\n",
    "    dfX = pd.DataFrame(0, index=['0','1','2', '3', '4', '5', '6', '7', '8', '9', '10', '11', '12', '13', '14'], \n",
    "                   columns=['0','1','2', '3', '4', '5', '6', '7', '8', '9', '10', '11', '12', '13', '14'])\n",
    "    dfY = pd.DataFrame(0, index=['0','1','2', '3', '4', '5', '6', '7', '8', '9', '10', '11', '12', '13', '14'], \n",
    "                   columns=['0','1','2', '3', '4', '5', '6', '7', '8', '9', '10', '11', '12', '13', '14'])\n",
    "    for sFOV in range(0,NUM_FOVS):\n",
    "        tmat_name = next(tmats)\n",
    "        tmat_loaded = np.load(tmat_name)\n",
    "        moveX = tmat_loaded[0,2]\n",
    "        moveY = tmat_loaded[1,2]\n",
    "        \n",
    "        col = str(int(tmat_name.split('_')[6]))\n",
    "        row = str(int(tmat_name.split('_')[7][0:3]))\n",
    "\n",
    "        dfX.loc[row, col] = moveX\n",
    "        dfY.loc[row, col] = moveY\n",
    "#     fig, axes = plt.subplots()\n",
    "#     sns.heatmap(dfX, vmin=-20, vmax=20)\n",
    "#     pl.suptitle(f\"Cycle {c+1} X-shift\")\n",
    "    \n",
    "    fig, axes = plt.subplots()\n",
    "    sns.heatmap(dfY, vmin=-20, vmax=20)\n",
    "    pl.suptitle(f\"Cycle {c+1} Y-shift\")\n",
    "        "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "dfX_shift = pd.DataFrame()\n",
    "dfY_shift = pd.DataFrame()\n",
    "for idx, c in enumerate(range(CYCLE_NUMS-1)):\n",
    "    tmats = iter(sorted(glob.glob(f'tmat_Cyc_{c+1}/*')))\n",
    "    for sFOV in range(0,NUM_FOVS):\n",
    "        tmat_name = next(tmats)\n",
    "        FOV_num = tmat_name.split('_F')[1][0:3]\n",
    "        tmat_loaded = np.load(tmat_name)\n",
    "        moveX = tmat_loaded[0,2]\n",
    "        moveY = tmat_loaded[1,2]\n",
    "\n",
    "        dfX_shift.loc[FOV_num, str(c+1)] = moveX\n",
    "        dfY_shift.loc[FOV_num, str(c+1)] = moveY"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "dfX_shift.to_csv('X_shift.csv')\n",
    "dfY_shift.to_csv('Y_shift.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 172,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x2160 with 27 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from matplotlib import pyplot\n",
    "\n",
    "fig, axs = plt.subplots(CYCLE_NUMS-1, 3, figsize=(15,30))\n",
    "\n",
    "for cycle in range(CYCLE_NUMS-1):\n",
    "    axs[cycle][0].hist(reg_J[f'{cycle+1}'], bins = 50, alpha=0.5, label='reg_J', range=[0,1])\n",
    "    axs[cycle][0].hist(base_J[f'{cycle+1}'], bins = 50, alpha=0.5, label='base_J', range=[0,1])\n",
    "    \n",
    "    axs[cycle][1].hist(dfY_shift[f'{cycle+1}'], bins = 50, alpha=0.5, label='dfX_shift', range=[-50,50])\n",
    "    axs[cycle][2].hist(dfX_shift[f'{cycle+1}'], bins = 50, alpha=0.5, label='dfX_shift', range=[-50,50])\n",
    "    \n",
    "    axs[cycle][0].title.set_text(f'Change in Jaccard Index - Cycle {cycle+1}')\n",
    "    axs[cycle][1].title.set_text(f'Y Shift - Cycle {cycle+1}')\n",
    "    axs[cycle][2].title.set_text(f'X Shift - Cycle {cycle+1}')\n",
    "\n",
    "#     for ax in axs.flat:\n",
    "#         ax.set(xlabel='', ylabel='')\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# X shift hist"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "a20e0e80c2154edd8c04023c2110a244",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(IntProgress(value=0, max=9), HTML(value='')))"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "# We are trying to look for registered binaries that have intensity percentage less than 0.1 percent (< 0.001)\n",
    "\n",
    "hist = pd.DataFrame()\n",
    "err_lst = []\n",
    "\n",
    "for c in tqdm(range(CYCLE_NUMS-1)):    \n",
    "    binas = iter(glob.glob(f'reg_bin_Cyc_{c+1}/*')) \n",
    "    for FOV in range(0, NUM_FOVS): # \n",
    "        #sFOV = str(FOV).zfill(NUM_DIGITS_OF_FOVS)\n",
    "        bina_name = next(binas)\n",
    "        bina = imread(bina_name)\n",
    "        bina = bina.astype(np.uint16)\n",
    "        FOV_num = bina_name[-15:-12]\n",
    "        \n",
    "        percentage = (np.sum(bina))/(2048*2048)    \n",
    "        \n",
    "        if percentage < 0.001:\n",
    "            err_lst.append(bina_name)\n",
    "            \n",
    "        hist.loc[FOV_num, f'{c+1}'] = percentage    # this is the table of percent of signal in images \n",
    "            "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[]"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "err_lst"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pylab as pl\n",
    "for c in range(CYCLE_NUMS-1):\n",
    "    hist.hist(column=f'{c+1}', bins = 80, range=[0, 0.3])\n",
    "    pl.suptitle(f\"Cycle {c+1}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# finding the intensity sums of each image and finding which z stack is the max\n",
    "df = pd.DataFrame()\n",
    "\n",
    "for c in range(CYCLE_NUMS):\n",
    "    if c == 0:\n",
    "        refs = iter(glob.glob('tif/Cycle_0/*'))\n",
    "        for FOV in range(0, NUM_FOVS): \n",
    "            ref_name = next(refs) \n",
    "            ref = imread(ref_name)\n",
    "            ref = ref.astype(np.uint16)\n",
    "            FOV_num = ref_name[-7:-4]\n",
    "            print(f'cycle {c} field {FOV_num} ')\n",
    "\n",
    "            Z_ch0 = []\n",
    "            Z_ch0_dic = {}\n",
    "\n",
    "            for Z in range(ref.shape[0]): # Z \n",
    "                for ch in range(0, 1):\n",
    "                    arsum = np.sum(ref[Z, ch, ...])\n",
    "                    Z_ch0.append(arsum)\n",
    "                    Z_ch0_dic[arsum] = Z\n",
    "\n",
    "            df.loc[FOV_num, 'max_int_C0'] = max(Z_ch0)                 \n",
    "            df.loc[FOV_num, 'z_idx_C0'] = Z_ch0_dic[max(Z_ch0)] \n",
    "    else:\n",
    "        ims = iter(glob.glob(f'reg_Cyc_{c}/*')) # cycle 1, 2, 3, .tif list --> FOV000, 001, (002 = error) 005 006  \n",
    "        for FOV in range(0, NUM_FOVS): # \n",
    "            #sFOV = str(FOV).zfill(NUM_DIGITS_OF_FOVS)\n",
    "            im_name = next(ims)\n",
    "            im = imread(im_name)\n",
    "            im = im.astype(np.uint16)\n",
    "            FOV_num = im_name[-11:-8]\n",
    "            print(f'cycle {c} field {FOV_num} ')\n",
    "\n",
    "            Z_ch0 = []\n",
    "            Z_ch0_dic = {}\n",
    "\n",
    "            for Z in range(im.shape[0]): # Z \n",
    "                for ch in range(0, 1):\n",
    "                    arsum = np.sum(im[Z, ch, ...])\n",
    "                    Z_ch0.append(arsum)\n",
    "                    Z_ch0_dic[arsum] = Z\n",
    "\n",
    "            df.loc[FOV_num, f'max_int_C{c}'] = max(Z_ch0)                  \n",
    "            df.loc[FOV_num, f'z_idx_C{c}'] = Z_ch0_dic[max(Z_ch0)] "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "print(df.loc[['002']])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.to_csv(\"max_intensity_indices\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "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": "3.7.4"
  }
 },
 "nbformat": 4,
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}