{ "cells": [ { "cell_type": "code", "execution_count": 1, "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": 2, "metadata": {}, "outputs": [], "source": [ "CYCLE_NUMS = 10\n", "NUM_FOVS = 217" ] }, { "cell_type": "code", "execution_count": null, "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": 11, "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": 18, "metadata": {}, "outputs": [], "source": [ "reg_J = pd.DataFrame()\n", "base_J = pd.DataFrame()" ] }, { "cell_type": "code", "execution_count": 19, "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 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 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 014 \n", "Got threshold\n", "cycle 1 field 015 \n", "Got threshold\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 020 \n", "Got threshold\n", "cycle 1 field 021 \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 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threshold\n", "cycle 1 field 052 \n", "Got threshold\n", "cycle 1 field 053 \n", "Got threshold\n", "cycle 1 field 054 \n", "Got threshold\n", "cycle 1 field 055 \n", "Got threshold\n", "cycle 1 field 056 \n", "Got threshold\n", "cycle 1 field 058 \n", "Got threshold\n", "cycle 1 field 059 \n", "Got threshold\n", "cycle 1 field 060 \n", "Got threshold\n", "cycle 1 field 061 \n", "Got threshold\n", "cycle 1 field 062 \n", "Got threshold\n", "cycle 1 field 063 \n", "Got threshold\n", "cycle 1 field 064 \n", "Got threshold\n", "cycle 1 field 065 \n", "Got threshold\n", "cycle 1 field 066 \n", "Got threshold\n", "cycle 1 field 067 \n", "Got threshold\n", "cycle 1 field 069 \n", "Got threshold\n", "cycle 1 field 070 \n", "Got threshold\n", "cycle 1 field 071 \n", "Got threshold\n", "cycle 1 field 072 \n", "Got threshold\n", "cycle 1 field 073 \n", "Got threshold\n", "cycle 1 field 074 \n", "Got threshold\n", "cycle 1 field 075 \n", "Got threshold\n", "cycle 1 field 076 \n", "Got 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threshold\n", "cycle 6 field 021 \n", "Got threshold\n", "cycle 6 field 022 \n", "Got threshold\n", "cycle 6 field 023 \n", "Got threshold\n", "cycle 6 field 024 \n", "Got threshold\n", "cycle 6 field 025 \n", "Got threshold\n", "cycle 6 field 026 \n", "Got threshold\n", "cycle 6 field 027 \n", "Got threshold\n", "cycle 6 field 028 \n", "Got threshold\n", "cycle 6 field 029 \n", "Got threshold\n", "cycle 6 field 030 \n", "Got threshold\n", "cycle 6 field 031 \n", "Got threshold\n", "cycle 6 field 032 \n", "Got threshold\n", "cycle 6 field 033 \n", "Got threshold\n", "cycle 6 field 034 \n", "Got threshold\n", "cycle 6 field 035 \n", "Got threshold\n", "cycle 6 field 036 \n", "Got threshold\n", "cycle 6 field 037 \n", "Got threshold\n", "cycle 6 field 038 \n", "Got threshold\n", "cycle 6 field 039 \n", "Got threshold\n", "cycle 6 field 040 \n", "Got threshold\n", "cycle 6 field 041 \n", "Got threshold\n", "cycle 6 field 042 \n", "Got threshold\n", "cycle 6 field 043 \n", "Got 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threshold\n", "cycle 6 field 092 \n", "Got threshold\n", "cycle 6 field 093 \n", "Got threshold\n", "cycle 6 field 094 \n", "Got threshold\n", "cycle 6 field 095 \n", "Got threshold\n", "cycle 6 field 096 \n", "Got threshold\n", "cycle 6 field 097 \n", "Got threshold\n", "cycle 6 field 098 \n", "Got threshold\n", "cycle 6 field 099 \n", "Got threshold\n", "cycle 6 field 100 \n", "Got threshold\n", "cycle 6 field 101 \n", "Got threshold\n", "cycle 6 field 102 \n", "Got threshold\n", "cycle 6 field 103 \n", "Got threshold\n", "cycle 6 field 104 \n", "Got threshold\n", "cycle 6 field 105 \n", "Got threshold\n", "cycle 6 field 106 \n", "Got threshold\n", "cycle 6 field 107 \n", "Got threshold\n", "cycle 6 field 109 \n", "Got threshold\n", "cycle 6 field 110 \n", "Got threshold\n", "cycle 6 field 111 \n", "Got threshold\n", "cycle 6 field 113 \n", "Got threshold\n", "cycle 6 field 114 \n", "Got threshold\n", "cycle 6 field 115 \n", "Got threshold\n", "cycle 6 field 116 \n", "Got 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threshold\n", "cycle 7 field 010 \n", "Got threshold\n", "cycle 7 field 011 \n", "Got threshold\n", "cycle 7 field 012 \n", "Got threshold\n", "cycle 7 field 013 \n", "Got threshold\n", "cycle 7 field 014 \n", "Got threshold\n", "cycle 7 field 015 \n", "Got threshold\n", "cycle 7 field 016 \n", "Got threshold\n", "cycle 7 field 017 \n", "Got threshold\n", "cycle 7 field 018 \n", "Got threshold\n", "cycle 7 field 019 \n", "Got threshold\n", "cycle 7 field 020 \n", "Got threshold\n", "cycle 7 field 021 \n", "Got threshold\n", "cycle 7 field 022 \n", "Got threshold\n", "cycle 7 field 023 \n", "Got threshold\n", "cycle 7 field 024 \n", "Got threshold\n", "cycle 7 field 025 \n", "Got threshold\n", "cycle 7 field 026 \n", "Got threshold\n", "cycle 7 field 027 \n", "Got threshold\n", "cycle 7 field 028 \n", "Got threshold\n", "cycle 7 field 029 \n", "Got threshold\n", "cycle 7 field 030 \n", "Got threshold\n", "cycle 7 field 031 \n", "Got threshold\n", "cycle 7 field 032 \n", "Got threshold\n", "cycle 7 field 033 \n", "Got threshold\n", "cycle 7 field 034 \n", "Got threshold\n", "cycle 7 field 035 \n", "Got threshold\n", "cycle 7 field 036 \n", "Got threshold\n", "cycle 7 field 037 \n", "Got threshold\n", "cycle 7 field 038 \n", "Got threshold\n", "cycle 7 field 039 \n", "Got threshold\n", "cycle 7 field 040 \n", "Got threshold\n", "cycle 7 field 041 \n", "Got threshold\n", "cycle 7 field 042 \n", "Got threshold\n", "cycle 7 field 043 \n", "Got threshold\n", "cycle 7 field 044 \n", "Got threshold\n", "cycle 7 field 045 \n", "Got threshold\n", "cycle 7 field 046 \n", "Got threshold\n", "cycle 7 field 047 \n", "Got threshold\n", "cycle 7 field 048 \n", "Got threshold\n", "cycle 7 field 049 \n", "Got threshold\n", "cycle 7 field 050 \n", "Got threshold\n", "cycle 7 field 051 \n", "Got threshold\n", "cycle 7 field 052 \n", "Got threshold\n", "cycle 7 field 053 \n", "Got threshold\n", "cycle 7 field 054 \n", "Got threshold\n", "cycle 7 field 055 \n", "Got threshold\n", "cycle 7 field 056 \n", "Got threshold\n", "cycle 7 field 058 \n", "Got threshold\n", "cycle 7 field 059 \n", "Got threshold\n", "cycle 7 field 060 \n", "Got threshold\n", "cycle 7 field 061 \n", "Got threshold\n", "cycle 7 field 062 \n", "Got threshold\n", "cycle 7 field 063 \n", "Got threshold\n", "cycle 7 field 064 \n", "Got threshold\n", "cycle 7 field 065 \n", "Got threshold\n", "cycle 7 field 066 \n", "Got threshold\n", "cycle 7 field 067 \n", "Got threshold\n", "cycle 7 field 069 \n", "Got threshold\n", "cycle 7 field 070 \n", "Got threshold\n", "cycle 7 field 071 \n", "Got threshold\n", "cycle 7 field 072 \n", "Got threshold\n", "cycle 7 field 073 \n", "Got threshold\n", "cycle 7 field 074 \n", "Got threshold\n", "cycle 7 field 075 \n", "Got threshold\n", "cycle 7 field 076 \n", "Got threshold\n", "cycle 7 field 077 \n", "Got threshold\n", "cycle 7 field 078 \n", "Got threshold\n", "cycle 7 field 079 \n", "Got threshold\n", "cycle 7 field 080 \n", "Got 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threshold\n", "cycle 9 field 058 \n", "Got threshold\n", "cycle 9 field 059 \n", "Got threshold\n", "cycle 9 field 060 \n", "Got threshold\n", "cycle 9 field 061 \n", "Got threshold\n", "cycle 9 field 062 \n", "Got threshold\n", "cycle 9 field 063 \n", "Got threshold\n", "cycle 9 field 064 \n", "Got threshold\n", "cycle 9 field 065 \n", "Got threshold\n", "cycle 9 field 066 \n", "Got threshold\n", "cycle 9 field 067 \n", "Got threshold\n", "cycle 9 field 069 \n", "Got threshold\n", "cycle 9 field 070 \n", "Got threshold\n", "cycle 9 field 071 \n", "Got threshold\n", "cycle 9 field 072 \n", "Got threshold\n", "cycle 9 field 073 \n", "Got threshold\n", "cycle 9 field 074 \n", "Got threshold\n", "cycle 9 field 075 \n", "Got threshold\n", "cycle 9 field 076 \n", "Got threshold\n", "cycle 9 field 077 \n", "Got threshold\n", "cycle 9 field 078 \n", "Got threshold\n", "cycle 9 field 079 \n", "Got threshold\n", "cycle 9 field 080 \n", "Got threshold\n", "cycle 9 field 081 \n", "Got threshold\n", "cycle 9 field 082 \n", "Got threshold\n", "cycle 9 field 083 \n", "Got threshold\n", "cycle 9 field 084 \n", "Got threshold\n", "cycle 9 field 085 \n", "Got threshold\n", "cycle 9 field 086 \n", "Got threshold\n", "cycle 9 field 087 \n", "Got threshold\n", "cycle 9 field 088 \n", "Got threshold\n", "cycle 9 field 089 \n", "Got threshold\n", "cycle 9 field 090 \n", "Got threshold\n", "cycle 9 field 091 \n", "Got threshold\n", "cycle 9 field 092 \n", "Got threshold\n", "cycle 9 field 093 \n", "Got threshold\n", "cycle 9 field 094 \n", "Got threshold\n", "cycle 9 field 095 \n", "Got threshold\n", "cycle 9 field 096 \n", "Got threshold\n", "cycle 9 field 097 \n", "Got threshold\n", "cycle 9 field 098 \n", "Got threshold\n", "cycle 9 field 099 \n", "Got threshold\n", "cycle 9 field 100 \n", "Got threshold\n", "cycle 9 field 101 \n", "Got threshold\n", "cycle 9 field 102 \n", "Got threshold\n", "cycle 9 field 103 \n", "Got threshold\n", "cycle 9 field 104 \n", "Got threshold\n", "cycle 9 field 105 \n", "Got threshold\n", "cycle 9 field 106 \n", "Got threshold\n", "cycle 9 field 107 \n", "Got threshold\n", "cycle 9 field 109 \n", "Got threshold\n", "cycle 9 field 110 \n", "Got threshold\n", "cycle 9 field 111 \n", "Got threshold\n", "cycle 9 field 113 \n", "Got threshold\n", "cycle 9 field 114 \n", "Got threshold\n", "cycle 9 field 115 \n", "Got threshold\n", "cycle 9 field 116 \n", "Got threshold\n", "cycle 9 field 117 \n", "Got threshold\n", "cycle 9 field 118 \n", "Got threshold\n", "cycle 9 field 119 \n", "Got threshold\n", "cycle 9 field 120 \n", "Got threshold\n", "cycle 9 field 121 \n", "Got threshold\n", "cycle 9 field 122 \n", "Got threshold\n", "cycle 9 field 123 \n", "Got threshold\n", "cycle 9 field 124 \n", "Got threshold\n", "cycle 9 field 125 \n", "Got threshold\n", "cycle 9 field 126 \n", "Got threshold\n", "cycle 9 field 127 \n", "Got threshold\n", "cycle 9 field 128 \n", "Got threshold\n", "cycle 9 field 130 \n", "Got 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threshold\n", "cycle 9 field 177 \n", "Got threshold\n", "cycle 9 field 178 \n", "Got threshold\n", "cycle 9 field 179 \n", "Got threshold\n", "cycle 9 field 180 \n", "Got threshold\n", "cycle 9 field 181 \n", "Got threshold\n", "cycle 9 field 182 \n", "Got threshold\n", "cycle 9 field 183 \n", "Got threshold\n", "cycle 9 field 184 \n", "Got threshold\n", "cycle 9 field 185 \n", "Got threshold\n", "cycle 9 field 186 \n", "Got threshold\n", "cycle 9 field 187 \n", "Got threshold\n", "cycle 9 field 188 \n", "Got threshold\n", "cycle 9 field 189 \n", "Got threshold\n", "cycle 9 field 190 \n", "Got threshold\n", "cycle 9 field 191 \n", "Got threshold\n", "cycle 9 field 192 \n", "Got threshold\n", "cycle 9 field 193 \n", "Got threshold\n", "cycle 9 field 194 \n", "Got threshold\n", "cycle 9 field 195 \n", "Got threshold\n", "cycle 9 field 196 \n", "Got threshold\n", "cycle 9 field 197 \n", "Got threshold\n", "cycle 9 field 199 \n", "Got threshold\n", "cycle 9 field 200 \n", "Got threshold\n", "cycle 9 field 201 \n", "Got threshold\n", "cycle 9 field 202 \n", "Got threshold\n", "cycle 9 field 203 \n", "Got threshold\n", "cycle 9 field 204 \n", "Got threshold\n", "cycle 9 field 205 \n", "Got threshold\n", "cycle 9 field 206 \n", "Got threshold\n", "cycle 9 field 207 \n", "Got threshold\n", "cycle 9 field 208 \n", "Got threshold\n", "cycle 9 field 209 \n", "Got threshold\n", "cycle 9 field 210 \n", "Got threshold\n", "cycle 9 field 211 \n", "Got threshold\n", "cycle 9 field 212 \n", "Got threshold\n", "cycle 9 field 213 \n", "Got threshold\n", "cycle 9 field 214 \n", "Got threshold\n", "cycle 9 field 215 \n", "Got threshold\n", "cycle 9 field 216 \n", "Got threshold\n", "cycle 9 field 217 \n", "Got threshold\n", "cycle 9 field 218 \n", "Got threshold\n", "cycle 9 field 219 \n", "Got threshold\n", "cycle 9 field 220 \n", "Got threshold\n", "cycle 9 field 221 \n", "Got threshold\n", "cycle 9 field 222 \n", "Got threshold\n", "cycle 9 field 223 \n", "Got threshold\n", "cycle 9 field 224 \n", "Got threshold\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", "# # save binary\n", "# fname_to_save = f'reg_bin_Cyc_{c+1}' + f'/Cycle_{c+1}_F{FOV_num}_bin_reg.tif'\n", "# print('Saving Binary Registered Images...', fname_to_save)\n", "# tifffile.imwrite(fname_to_save, out, imagej=True, photometric = 'minisblack',metadata={'axes':'YX'})\n", "\n", "# # save tmat\n", "# print(\"saving tmat\")\n", "# np.save(f'tmat_Cyc_{c+1}' + f'/Cycle_{c+1}_F{FOV_num}_tmat.npy', tmat)\n", "\n", "\n", "base_J.to_csv('base_J.csv')\n", "reg_J.to_csv('reg_J.csv')" ] }, { "cell_type": "code", "execution_count": 21, "metadata": { "scrolled": true }, "outputs": [ { "data": { "text/html": [ "
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0.543095 \n", "221 0.504970 0.565414 \n", "222 0.548330 0.583327 \n", "223 0.543724 0.559138 \n", "224 0.486107 0.567660 \n", "\n", "[217 rows x 9 columns]" ] }, "execution_count": 21, "metadata": {}, "output_type": "execute_result" } ], "source": [ "base_J" ] }, { "cell_type": "code", "execution_count": 22, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "5002a47855a74a72933747aa884178ab", "version_major": 2, "version_minor": 0 }, "text/plain": [ "HBox(children=(IntProgress(value=1, bar_style='info', max=1), HTML(value='')))" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "\n" ] } ], "source": [ "dfX_shift = pd.DataFrame()\n", "dfY_shift = pd.DataFrame()\n", "for idx, c in tqdm(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\n", "\n", "dfX_shift.to_csv('Cov_8_X_shift.csv')\n", "dfY_shift.to_csv('Cov_8_Y_shift.csv')" ] }, { "cell_type": "code", "execution_count": 23, "metadata": { "scrolled": false }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/home/imaging/mambaforge/envs/all_your_base/lib/python3.7/site-packages/numpy/lib/histograms.py:829: RuntimeWarning: invalid value encountered in greater_equal\n", " keep = (tmp_a >= first_edge)\n", "/home/imaging/mambaforge/envs/all_your_base/lib/python3.7/site-packages/numpy/lib/histograms.py:830: RuntimeWarning: invalid value encountered in less_equal\n", " keep &= (tmp_a <= last_edge)\n" ] }, { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# LOOKING AT JACCARD SHIFT\n", "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='')" ] }, { "cell_type": "code", "execution_count": 30, "metadata": { "scrolled": false }, "outputs": [ { "data": { "image/png": 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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LWbRKxCcAB0m6D9gD+KWk+4H/yreZmZVKRPtLWbSqR7wMeL+k9YEd88ePRMRjkxGcmVmnytTTbVdb09ci4jlgYY9jMTMrbBCnr3kesZlVyliJZkO0y4nYzCrFPeIJpKgjDKDpU5O0k0KZYkkqUc3de36yfpJ2djl0efFGUtURHi3RkR1IV0e4gnWNKztGbGY2KMo0G6JdTsRmVinuEZuZ9dlYrVyXRGuHE7GZVcogDk0M3leHmVkTtVDbSyuSDpd0l6R7JZ3Sq5hblcE8SdK2vXpyM7PUItT20oykqcA5wBFkJR7eLWmPXsTcqkf8WeBGST+T9CFJm/ciCDOzVBLWmtgPuDci7o+IlcDFwFG9iLlVIr4fmE2WkPcB7pD0I0nH5fUnJiRpWNICSQu+etfDCcM1M2uuk6GJ+lyVL8N1TW0DPFR3fyRfl1yrg3URETXgauBqSdPIuunvBs4EJuwhR8R8YD7AsuMPGcChczMbVJ3MmqjPVROYaOyiJ/msVSJeI5CIWAVcAVwhaUYvAjIzKyJhphwB6o+RzQaWpmv+Ja0S8bsabYiI5xPHYmZWWDuzIdp0M7CLpB2Ah4FjgGNTNV6vVT3iu3vxpGZmvZKq6E9EjEr6MHAVMBU4LyJuT9L4OD6hw8wqJWX9oYj4AfCDhE1OyInYzColJjzGVm49T8SakuhNSVHOsEyxADEl0WGFRK/rnmtmJWln54OeTdKOT/wcHPfduFGSduYmaGPU9YjNzPrLPWIzsz4rUY36tjkRm1mluEdsZtZn7hGbmfXZmHvEZmb9NYBXSmqeiCVNJzutb2lEXCvpWOAAYDEwP689YWZWGrUK9ojPzx8zU9JxwCzg28DBZLU6j+tteGZmnRnEco+tEvErI2JPSUNkRS+2jogxSRcCCxvtlNf0HAb40gG7cfxus5MFbGbWTBUP1k3JhyfWA2YCGwK/B9YBpjXaqb7G57MfPHQQv6DMbEDVVL2hia8Ad5JVHpoHXCLpfmB/ssuGmJmVyli/A+hCqzKYZ0n67/z2UkkXAIcA/xURN01GgGZmnajcrAnIEnDd7WeAS3sakZlZAVWcNWFmNlAG8aCUE7GZVUolhyYKS1UDOIVUdYRH00yQKdE7A8Aub3wuUUslemXJalCnaSaZkpVq3nHfp/sdwh+V7UfVDveIzaxSxkrUD2iXE7GZVYp7xGZmfeZEbGbWZwN4yTonYjOrlkr2iCXtBLwd2BYYBe4BLoqIZT2OzcysY4N4inPTSTCSTgK+DKwL7AvMIEvIv5T0hp5HZ2bWoZraX8qi1WzEE4HDI+L/kNWY2CMi5gGHA2c12knSsKQFkhacf+dIumjNzFqodbCURTtjxENkvf11gPUBIuJBSe2VwTzxsEE849DMBlSZEmy7WiXic4GbJf0KOBA4HUDS5mR1ic3MSmUQe36tymCeLelaYHfgixFxZ77+CbLEbGZWKmUa+21XO2Uwbwdun4RYzMwKG8RZE55HbGaVUhvAwQknYjOrlCoerCtMU9PU66u9OFq4DU2fmiCSdO2kKsuZrJ2hVCUjS/S6ylSGFYjRNO+NEv2sItHPSiV6nwevP+wesZlVjHvEZmZ9NqrJ6RNL2ouXzjweBT7U7UWVS1bn38ysmOhgKegM4LSI2Av4dH6/K+4Rm1mlTOLQRAAb5Lc3BJY2eWxTTsRmVimTOH3tY8BVks4kG104oNuGnIjNrFI6ScOShoHhulXz81o5q7dfC2w1wa7zgIOBj0fEZZLeCXyFrDhax5yIzaxSOhmaqC9Q1mB7w8Qq6QLgo/ndS8hq83TFB+vMrFLGiLaXgpYCB+W330R20YyutCoMv6Gkf5F0p6Sn8mVxvm6jJvu9VI/4joe6jc3MrGOTWI/4ROALkhYCn2fNIY6OtBqa+BbwY+ANEfEogKStgOPIuuKHTrRTfXf/ub85fBBPdDGzARWTdLAuIn4O7JOirVZDE3Mi4vTVSTh/8kcj4nRguxQBmJmlNIhX6GiViB+Q9ElJW65eIWlLSZ8CPOZgZqVTI9peyqJVIn4XsClwg6TfS/o9cD2wCXB0j2MzM+vYJJ5Zl0yrK3Q8DXwqX9Yg6Xjg/B7FZWbWldFSpdj2FJm+dlqyKMzMEokO/pVF0x6xpNsabQK2bLBtDRFpXuyUdYqfexKr0lxE5e6r1kvSzq5veT5JO6nq/6aqKZvs452idq9nyk+KVHWNUyjTQbh2tcpuWwJvBp4et17A//QkIjOzAsrU021Xq0R8JTArIm4dv0HS9T2JyMysgMr1iCPig022HZs+HDOzYsYSDYdOJhf9MbNKKdP84HY5EZtZpVRxjNjMbKBUbozYzGzQDOLQRE9mWa5RBnPxSC+ewsxsQoN4QkfXiVjSDxtti4j5ETE3IuYev/vsbp/CzKxjYxFtL2XR6sy6vRttAvZKH46ZWTGDODTRaoz4ZuAGssQ7XsMrdJiZ9UsVD9YtBv46Iv7kWkySXI/YzEqnTGO/7WqViD9D43Hkj6QNxcysuMoNTUTEpU02b5w4FjOzwlJVfJxMReYRn0Y7heETlce764czkrTz8re+ULyNI19MEAnEi4lGs1KVIExUBlNDaWZFRqLRvlTlPZMoW1nORB9BDZXnPR6rWo84RT3iMkmRhG2wlCoJ26So3NAErkdsZgOmikMTrkdsZgOlcj1i1yM2s0FTxelrZmYDpUynLrfLidjMKqVyQxNmZoPGidjMrM8GcdZE0+nlkjaQ9H8lfV3SseO2/XuT/V6qR3yn6xGb2eSpEW0vZdHqPJ/zyeYMXwYcI+kySevk2/ZvtNMa9Yh3cz1iM5s8g1gYvtXQxE4R8Rf57e9Imgf8WNKRPY7LzKwrYzF4hTBbJeJ1JE2JyF5ZRHxO0gjwU2BWz6MzM+tQ5caIge8Bb6pfERFfA/4eWNmroMzMujWIY8Stzqz7ZIP1P5L0+d6EZGbWvTKN/barSFG+05JFYWaWSC2i7aUISUdLul1STdLccdv2lPTLfPtvJa3brK2BKYO565v/kKCVqQnagHhxNE07ieoIJ6v/m6qucap2Ekj2mqqqbPWRE5jEHvEi4B3Af9avlDQEXAj8VUQslLQpsKpZQy6DaWaVMlmzJiJiMYD0JzWvDwNui4iF+eOeatWWy2CaWaV0MuQgaRgYrls1PyLmFwxhVyAkXQVsDlwcEWc028FlMM2sUjoZmsiTbsPEK+laYKsJNs2LiO822G0IeB2wL7ACuE7SryPiukbP41oTZlYpRQ/C1YuIQ7rYbQS4ISKeBJD0A2BvoGEiruBQvZmtzUpwivNVwJ6SZuYH7g4C7mi2gxOxmVXKWIy1vRQh6e35mcavAb6fjwkTEU8DXwRuBm4FbomI7zdry0MTZlYpk3WKc0RcDlzeYNuFZFPY2tKTHrHLYJpZvwziKc6t6hFvJek/JJ0jaVNJn8nPEvmWpJc12s9lMM2sXyKi7aUsWvWIv0o2yPwQ8BPgeeAtwM+AL/c0MjOzLkzWKc4ptTyzLiL+FUDShyLi9Hz9v0pqOMfYzKxfBrHoT6tEXN9jvmDctjSFG8zMEqpiYfjvSpoVEcsj4p9Wr5S0M3BXb0MzM+tcmcZ+29XqFOdPN1h/r6Sm8+LMzPqhTGO/7XI9YjOrlEGcNdH7esRT/qREXHcS1JVN9caXrcZt2eJJJsXrSvT5i9FE73GimfvpakenaaZMn8EyzQ9ul+sRm1mllKmn2y7XIzazSqncrAnXIzazQTOIB+tc9MfMKqWKQxNmZgOlimfWmZkNlLWiRyxpi4h4vBfBmJkVNYhjxK0mO28ybtkUWAJsDGzSZL9hYEG+DLcxqbrlY9qcnO12BiAWt+OfuZc1F+Vv0IQk1YAHxq2eTXZxvIiIHTtL+w2fZ0FEzHU7vWunTLG4nclpp0yxpGynilqd5/NJsuI+R0bEDhGxAzCS306ShM3M1nZNE3FEnAmcAHxa0hclrQ8DeEjSzKzEWp75HhEjEXE02RU6rgFm9iCO+W6n5+2UKRa3MzntlCmWlO1UTtMx4j95sDQD2CkiFkk6PiLO711oZmZrh44S8Ro7Sg9GxHaJ4zEzW+u0uorzbQ2W39JuGcwWJB0u6S5J90o6pcs2zpP0uKRFBeLYVtJPJC2WdLukj3bZzrqSbpK0MG+nUN1mSVMl/UbSlQXaWJJffftWSQsKtLORpEsl3Zm/T6/poo2X53GsXp6V9LEu2vl4/v4uknSRpHU7bSNv56N5G7d3GsdEnztJm0i6RtI9+f8bd9HG0Xk8NUltzTJo0M7/y39Wt0m6XNJGXbbz2byNWyVdLWnrbtqp23aypJC0WTuvba3QYt7fY8BewPbjljnA0gTzCqcC9wE7AtOBhcAeXbRzILA3sKhALC8D9s5vrw/c3WUsIqtYBzANuBHYv0BcnwC+CVxZoI0lwGYJfl5fA07Ib08HNkrw838U2L7D/bYBfgfMyO9/C3h/F8//CmAR2XGPIeBaYJcinzvgDOCU/PYpwOldtLE78HLgemBugVgOA4by26e3iqVJOxvU3T4J+HI37eTrtwWuIpsWW/gzWZWl1cG61WUwHxi3LMk/JEXtB9wbEfdHxErgYuCoThuJiJ8Cvy8SSEQ8EhG35LefAxaT/cJ32k5ExPL87rR86Wr8R9Js4C3Aud3sn5KkDch+ub4CEBErI+KZgs0eDNwXEePnqrdjCJghaYgskS7too3dgV9FxIqIGAVuAN7e7s4NPndHkX1hkf//tk7biIjFEdHRNSEbtHN1/roAfkV2DkA37Txbd3c92vg8N/mdPItsWqxnX9VpNX3tgxHx8wbbUpTB3AZ4qO7+CF0kv9QkzQFeRdab7Wb/qZJuBR4HromIrtoBvkT2oS1aYDWAqyX9WtJwl23sCDwBnJ8PlZwrab2CcR0DXNTpThHxMHAm8CDwCLAsIq7u4vkXAQdK2lTSTODPyXpsRWwZEY/kcT4CbFGwvVQ+APyw250lfU7SQ8B7gAmvZdlGG0cCD0fEwm7jqKpEF27p2kTXsenrN6WkWcBlwMfG9QTaFhFjEbEXWQ9kP0mv6CKOtwKPR8Svu4lhnNdGxN7AEcDfSTqwizaGyP7U/I+IeBXwB7I/vbsiaTpwJHBJF/tuTNbz3AHYGlhP0ns7bSciFpP9yX4N8COyobHRpjsNIEnzyF7XN7ptIyLmRcS2eRsf7iKGmcA8ukziVdfvRDzCmj2Q2XT3J2YSkqaRJeFvRMS3i7aX/+l+PXB4F7u/FjhS0hKyIZs3SbqwyziW5v8/DlxONiTUqRGysypX9+4vJUvM3ToCuCUiHuti30OA30XEExGxCvg2cEA3QUTEVyJi74g4kOxP6Xu6aafOY5JeBpD/39cCWZKOA94KvCciUnRyvgn8RRf77UT2xbkw/0zPBm6RtFWCmAZevxPxzcAuknbIe0jHAFf0IxBJIhv/XBwRXyzQzuarj04rm3d9CHBnp+1ExD9ExOyImEP2vvw4Ijru9UlaT9kZkeRDCYeR/UneaTyPAg9Jenm+6mDgjk7bqfNuuhiWyD0I7C9pZv5zO5hsTL9jkrbI/98OeEeBmFa7Ajguv30c8N2C7XVN0uHAp8hKFKwo0M4udXePpLvP828jYouImJN/pkfIDo4/2m1cldLvo4Vk43J3k82emNdlGxeRjRWuIvsBf7CLNl5HNixyG3Brvvx5F+3sCfwmb2cR8OkE79Eb6HLWBNnY7sJ8ub3b9zhvay+yinq3Ad8BNu6ynZnAU8CGBWI5jSwhLAK+DqzTZTs/I/tCWQgcXPRzR1ah8DqynvV1NKlS2KSNt+e3XySbuXRVl7HcS3YMZvXnuZ3ZDhO1c1n+Pt8GfA/Yppt2xm1fgmdN/HHp+oQOMzNLo99DE2Zmaz0nYjOzPnMiNjPrMydiM7M+cyI2M+szJ2Izsz5zIjYz6zMnYjOzPvv/afTDhFEdQ8oAAAAASUVORK5CYII=\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "fig, axes = plt.subplots()\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\")" ] }, { "cell_type": "code", "execution_count": 31, "metadata": { "scrolled": false }, "outputs": [ { "data": { "image/png": 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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"text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "fig, axes = plt.subplots()\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(dfY, vmin=-20, vmax=20)\n", " pl.suptitle(f\"Cycle {c+1} Y-shift\")" ] }, { "cell_type": "code", "execution_count": 28, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "b69c99a273a9441fa7cd7162b98edcf1", "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", "\n", "err_lst = []\n", "for c in tqdm(range(CYCLE_NUMS-1)): \n", " binas = iter(glob.glob(f'reg_bin_Cyc_{c+1}/*')) \n", " if c == 7:\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", " if c == 8:\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", " else:\n", " continue" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "591b3f2076554d11b6d26f1a35523caa", "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", "min_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", " if percentage < 0.01:\n", " min_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", "hist.to_csv('reg_bin_df.csv')" ] }, { "cell_type": "code", "execution_count": 8, "metadata": { "scrolled": true }, "outputs": [ { "data": { "text/html": [ "
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\n", 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\n", 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3H/T89U8nu53TzW7c9+vPP2Umvr8mYVZ+VibBXtYl2TTAx76EUlUvqaqzqmoPcBHwwa3CW5I0Wb4PXJIaNZHf46tqBViZxL4kScPxDFySGmWAS1KjDHBJapQBLkmNMsAlqVEGuCQ1ygCXpEYZ4JLUqHYn5NhBk5j/5Fiy8fm4fO8RjoVvowOHDnPphr4mOeeKtF08A5ekRhngktQoA1ySGmWAS1KjDHBJapQBLkmNMsAlqVEGuCQ1ygCXpEYZ4JLUqLEDPMkjknwoyQ1Jrk/yokkWJknaWpdJLI4Al1fVtUl+ANif5Jqq+syEapMkbWHsM/CqurWqru3d/jZwA7B7UoVJkraWquq+k2QP8GHg3Kr6Vt+6fcA+gPn5+fOWl5fHeoy1tTXm5ua6FTqmA4cOT3R/8w+B2+6e6C6nZtK97N296373t3ru+7cd1cZ9D+qjy2P199C17kGm+bMyafaybmlpaX9VLfQv7xzgSeaAPwVeVlVv32rbhYWFWl1dHetxVlZWWFxcHGtsV5OeTvbyvUd45YH2p2CFyffSP43rVs991ylf+6fF3aqPLo/V38N2T1U7zZ+VSbOXdUk2DfBO70JJ8kDgD4E3DQpvSdJkdXkXSoDfA26oqldNriRJ0jC6nIH/NPA84B8lua739fQJ1SVJGmDsi5dV9REgE6xFkjQCP4kpSY0ywCWpUQa4JDXKAJekRhngktQoA1ySGmWAS1KjDHBJatSxMaPShE168ioNb5TnftTjtJ0TUm1X3YMeZ5I9DXrs7apD4/MMXJIaZYBLUqMMcElqlAEuSY0ywCWpUQa4JDXKAJekRhngktQoA1ySGtX1r9Kfn+RzSW5McsWkipIkDdblr9KfALwGeBpwDnBxknMmVZgkaWtdzsAfD9xYVV+squ8Cy8CzJlOWJGmQLgG+G/jyhvs395ZJknZAqmq8gcnPAU+tquf37j8PeHxV/UrfdvuAfb27ZwOfG7PWM4CvjTl21tjL7DlW+gB7mVVdenlUVZ3Zv7DLdLI3A4/YcP8s4Jb+jarqKuCqDo8DQJLVqlroup9ZYC+z51jpA+xlVm1HL10uoXwCeGySRyd5EHAR8M7JlCVJGmTsM/CqOpLkl4H/C5wAvK6qrp9YZZKkLXX6izxV9R7gPROqZZDOl2FmiL3MnmOlD7CXWTXxXsZ+EVOSNF1+lF6SGjUTAT7oI/lJHpzkLb31H0+yZ8O6l/SWfy7JU3ey7n7j9pFkT5K7k1zX+7pyp2vvN0QvP5Pk2iRHkjy7b90lSb7Q+7pk56reXMde7tlwXKb+Iv0Qvfxqks8k+VSSDyR51IZ1M3NcOvbR2jH5N0kO9Or9yMZPrHfOr6qa6hfrL4DeBDwGeBDw58A5fdv8EnBl7/ZFwFt6t8/pbf9g4NG9/ZzQYB97gE9P+1iM2Mse4EeB3weevWH5Q4Ev9v49vXf79BZ76a1bm/bxGLGXJeDk3u1f3PA9NjPHpUsfjR6TUzfcfibw3t7tzvk1C2fgw3wk/1nAG3q3rwaelCS95ctV9Z2q+hJwY29/09Clj1kzsJeqOlhVnwK+3zf2qcA1VfX1qvoGcA1w/k4UfRRdepk1w/Tyoaq6q3f3Y6x/PgNm67h06WPWDNPLtzbcPQW494XHzvk1CwE+zEfy79umqo4Ah4GHDTl2p3TpA+DRST6Z5E+T/MPtLnaALs/rLB0T6F7PSUlWk3wsyYWTLW1ko/ZyGfAnY47dTl36gAaPSZIXJLkJeAXwwlHGbqXT2wgnZLMz0P63xhxtm2HG7pQufdwKPLKq7khyHvB/kjyu73/undTleZ2lYwLd63lkVd2S5DHAB5McqKqbJlTbqIbuJclzgQXgiaOO3QFd+oAGj0lVvQZ4TZKfB34duGTYsVuZhTPwYT6Sf982SU4EdgFfH3LsThm7j96vUHcAVNV+1q+F/ci2V3x0XZ7XWTom0LGeqrql9+8XgRXgxydZ3IiG6iXJk4GXAs+squ+MMnaHdOmjyWOywTJw728N3Y/JDLwIcCLrL6g8mr9+EeBxfdu8gPu/+PfW3u3Hcf8XAb7I9F7E7NLHmffWzfqLIYeAh87yMdmw7ev5my9ifon1F8pO791utZfTgQf3bp8BfIG+F6hmrRfWw+wm4LF9y2fmuHTso8Vj8tgNt38WWO3d7pxfU2l6kyfh6cDnewfspb1lv8n6/7wAJwFvY/0i/58Bj9kw9qW9cZ8DntZiH8A/Ba7vHcxrgZ9t4Jj8JOtnEHcCdwDXbxj7L3s93gj8Qqu9AD8FHOgdlwPAZQ308n7gNuC63tc7Z/G4jNtHo8fk1b2f7+uAD7Eh4Lvml5/ElKRGzcI1cEnSGAxwSWqUAS5JjTLAJalRBrgkNcoAl6RGGeCS1CgDXJIa9f8BPmYIERM+zRoAAAAASUVORK5CYII=\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "import pylab as pl\n", "fig, axes = plt.subplots()\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": 31, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "for c in range(CYCLE_NUMS-1):\n", " if c == 7:\n", " hist.hist(column=f'{c+1}', bins = 30, range=[0, 0.3])\n", " pl.suptitle(f\"Cycle {c+1}\")\n", " if c == 8:\n", " hist.hist(column=f'{c+1}', bins = 30, range=[0, 0.3])\n", " pl.suptitle(f\"Cycle {c+1}\")\n", " else:\n", " continue\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [ { "ename": "NameError", "evalue": "name 'int_counts' is not defined", "output_type": "error", "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mint_counts\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mint_counts\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"one to five\"\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m>\u001b[0m \u001b[0;36m100\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", "\u001b[0;31mNameError\u001b[0m: name 'int_counts' is not defined" ] } ], "source": [ "int_counts[int_counts[\"one to five\"] > 100]" ] }, { "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)] " ] } ], "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, "nbformat_minor": 2 }