{ "cells": [ { "attachments": {}, "cell_type": "markdown", "id": "e378188a-4b7d-4aba-838c-37c3b9594a25", "metadata": {}, "source": [ "# More Image Processing Options: Cellpose and Denoising\n", "\n", "Be sure to have gone through the main ImageProcessing notebook in PalmettoBUG before executing this one! This notebook depends on the directory being set up from there.\n", "\n", "No other notebooks depend on this one -- but outputs from this notebook (like cellpose masks in the /masks/cellpose folder) could be inserted into those other notebooks to replace corresponding default inputs in other notebooks (such as deepcell masks)." ] }, { "cell_type": "code", "execution_count": 1, "id": "4910f6b2-b598-44f4-b0b1-154463b00fd7", "metadata": {}, "outputs": [], "source": [ "import os\n", "from pathlib import Path\n", "import numpy as np\n", "import pandas as pd\n", "import matplotlib.pyplot as plt\n", "import tifffile as tf\n", "\n", "import isosegdenoise as iSD" ] }, { "cell_type": "markdown", "id": "5d72ce1d-4f1e-4c92-bd83-e2dd3c916d92", "metadata": {}, "source": [ "### CHANGE The following directory to match an existing directory on your computer if you are testing this tutorial on your own machine!" ] }, { "cell_type": "code", "execution_count": 2, "id": "f75bee36-8a22-4084-b0a2-e8d70a645c07", "metadata": {}, "outputs": [], "source": [ "my_computer_path = \"C:/Users/Default/Desktop\" " ] }, { "cell_type": "markdown", "id": "71389406-3aec-4ae1-9f42-f6e462d599bd", "metadata": {}, "source": [ "## Load into isosegdenoise:\n", "\n", "NOTE!: This notebook depends on the CORE_mcd_to_analysis notebook to have already been run / the example palmettobug project must already be setup in the project_directory! \n", " The isosegdenoise package cannot setup its own example data project (nor is the example data bundled with it), instead that must be done manually or through palmettobug. " ] }, { "cell_type": "code", "execution_count": 3, "id": "1490219e-e552-44bf-851d-4eeea3dfed8b", "metadata": {}, "outputs": [], "source": [ "## initialize denoise / esgmentation experiment:\n", "project_directory = f\"{my_computer_path}/Example_IMC\"\n", "resolutions = [1.0, 1.0] ## in micrometers. 1 micron is standard IMC resolution\n", "iSD_object = iSD.imc_entrypoint(directory = project_directory, resolutions = resolutions, from_mcds = True)" ] }, { "cell_type": "code", "execution_count": 4, "id": "ded5b388-d624-4143-b828-d1b3511de3ab", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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channelnamekeepsegmentation
0I127127I0NaN
1Xe131131Xe0NaN
2Ba132132Ba0NaN
3Ba138138Ba0NaN
4Pr141aSMA1NaN
5Nd142p-selectin1NaN
6Nd143Vimentin1NaN
7Nd144CD141NaN
8Nd145CD311NaN
9Nd146CD161NaN
10Nd148Pan-Keratin1NaN
11Sm149CD11b1NaN
12Eu151CD1631NaN
13Sm152CD451NaN
14Eu153CD2061NaN
15Sm154CCL21NaN
16Gd155FoxP31NaN
17Gd156CD41NaN
18Gd158E-cadherin1NaN
19Tb159CD681NaN
20Gd160CD66b1NaN
21Dy161CD201NaN
22Dy162CD81NaN
23Dy163Vitrionectin1NaN
24Dy164CD32b1NaN
25Er167GranzymeB1NaN
26Er168Ki-671NaN
27Tm169Collagen-11NaN
28Er170CD31NaN
29Yb171HistoneH311.0
30Yb172Beta-Catenin1NaN
31Yb173CD45RO1NaN
32Yb174HLA-DR1NaN
33BCKG190190BCKG0NaN
34Ir191DNA111.0
35Ir193DNA211.0
36Pt195Seg112.0
37Pt196Seg212.0
38Pt198Seg312.0
\n", "
" ], "text/plain": [ " channel name keep segmentation\n", "0 I127 127I 0 NaN\n", "1 Xe131 131Xe 0 NaN\n", "2 Ba132 132Ba 0 NaN\n", "3 Ba138 138Ba 0 NaN\n", "4 Pr141 aSMA 1 NaN\n", "5 Nd142 p-selectin 1 NaN\n", "6 Nd143 Vimentin 1 NaN\n", "7 Nd144 CD14 1 NaN\n", "8 Nd145 CD31 1 NaN\n", "9 Nd146 CD16 1 NaN\n", "10 Nd148 Pan-Keratin 1 NaN\n", "11 Sm149 CD11b 1 NaN\n", "12 Eu151 CD163 1 NaN\n", "13 Sm152 CD45 1 NaN\n", "14 Eu153 CD206 1 NaN\n", "15 Sm154 CCL2 1 NaN\n", "16 Gd155 FoxP3 1 NaN\n", "17 Gd156 CD4 1 NaN\n", "18 Gd158 E-cadherin 1 NaN\n", "19 Tb159 CD68 1 NaN\n", "20 Gd160 CD66b 1 NaN\n", "21 Dy161 CD20 1 NaN\n", "22 Dy162 CD8 1 NaN\n", "23 Dy163 Vitrionectin 1 NaN\n", "24 Dy164 CD32b 1 NaN\n", "25 Er167 GranzymeB 1 NaN\n", "26 Er168 Ki-67 1 NaN\n", "27 Tm169 Collagen-1 1 NaN\n", "28 Er170 CD3 1 NaN\n", "29 Yb171 HistoneH3 1 1.0\n", "30 Yb172 Beta-Catenin 1 NaN\n", "31 Yb173 CD45RO 1 NaN\n", "32 Yb174 HLA-DR 1 NaN\n", "33 BCKG190 190BCKG 0 NaN\n", "34 Ir191 DNA1 1 1.0\n", "35 Ir193 DNA2 1 1.0\n", "36 Pt195 Seg1 1 2.0\n", "37 Pt196 Seg2 1 2.0\n", "38 Pt198 Seg3 1 2.0" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "iSD_object.panel" ] }, { "cell_type": "markdown", "id": "e48c7c02-dd5d-45df-b274-56d3f0238ba3", "metadata": {}, "source": [ "## Cellpose Denoising\n", "\n", "If you have a gpu configured in this environment, try setting gpu = True when calling the cellpose_segment method" ] }, { "cell_type": "code", "execution_count": 5, "id": "729f2065-852d-43d6-a7ca-480a98a84c2f", "metadata": {}, "outputs": [], "source": [ "'''\n", "Set the parameters for a Cellpose denoising!\n", "'''\n", "model_options = ['denoise_cyto3', 'deblur_cyto3', 'upsample_cyto3', 'denoise_nuclei', 'deblur_nuclei', 'upsample_nuclei']\n", "model = model_options[0]\n", "\n", "channel_list = [19, 23] #### either a list of integers, with the integer corresponding to the layer of the image to denoise, or [\"all\"] to denoise all channels\n", " ## here we denoise GFAP (21) and NeuN (20). See the index of experiment.panel[experiment.panel['keep'] == 1].reset_index().drop('index', axis = 1) file for the integer :: channel correspondence\n", " ## This means that the numbers DO NOT match the original panel file! On the other hand, they do match the channel number if the image is opened in napari\n", "\n", "image_folder = iSD_object.directory_object.img_dir + \"/img\"\n", "output_directory = iSD_object.directory_object.img_dir + \"/denoised_Collagen_Vitronectin\"\n", "img = \"\" ## Empty string runs all images in image_folder\n", "\n", "## specify img (a string of the filename -- not file path! -- of the image to only denoise that one image. This can be useful as a test\n", " ## use os.listdir(image_folder) to retrieve a list of the possible values for img\n", "\n", "img = os.listdir(image_folder)[0] # Run 1 image" ] }, { "cell_type": "code", "execution_count": 6, "id": "d8c94148-c7bd-4fec-a55a-acc718025961", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "CRC_1_ROI_001.ome.tiff denoising has been completed!\n" ] } ], "source": [ "iSD_object.cellpose_denoise(gpu = False, model_type = model, diam_mean = 50.0, channel_list = channel_list, \n", " image_folder = image_folder, output_folder = output_directory, \n", " img = img) " ] }, { "cell_type": "markdown", "id": "ebb05086-b91a-4d40-af74-53f7b3d329bf", "metadata": {}, "source": [ "## Cellpose Segmentation\n", "\n", "If you have a gpu configured in this environment, try setting gpu = True when calling the cellpose_segment method" ] }, { "cell_type": "code", "execution_count": 7, "id": "77589feb-7be2-4575-8633-a412e36057c4", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "CRC_1_ROI_001.ome.tiff has been Segmented with 1022 masks in the image!\n", "CRC_1_ROI_002.ome.tiff has been Segmented with 1237 masks in the image!\n", "CRC_2_ROI_001.ome.tiff has been Segmented with 1419 masks in the image!\n", "CRC_2_ROI_002.ome.tiff has been Segmented with 680 masks in the image!\n", "CRC_2_ROI_003.ome.tiff has been Segmented with 639 masks in the image!\n", "CRC_2_ROI_004.ome.tiff has been Segmented with 123 masks in the image!\n", "CRC_3_ROI_001.ome.tiff has been Segmented with 1965 masks in the image!\n", "CRC_3_ROI_002.ome.tiff has been Segmented with 2421 masks in the image!\n", "CRC_3_ROI_003.ome.tiff has been Segmented with 562 masks in the image!\n", "CRC_3_ROI_004.ome.tiff has been Segmented with 1706 masks in the image!\n" ] } ], "source": [ "'''\n", "Example of cellpose segmentation:\n", "'''\n", "image_folder = iSD_object.directory_object.img_dir + \"/img\"\n", "output_folder = iSD_object.directory_object.masks_dir + \"/cellpose\"\n", "img = \"\" ## as with the cellpose denoising, specify a file name (not file path) to only segment one image in the image_folder\n", " ## an empty string, as here, denoises all files in image_folder\n", "\n", "model_options = [\"cyto3\", \"nuclei\", \"cyto2_cp3\", \"tissuenet_cp3\", \"livecell_cp3\", \"yeast_PhC_cp3\",\n", " \"yeast_BF_cp3\", \"bact_phase_cp3\", \"bact_fluor_cp3\", \"deepbacs_cp3\", \"cyto2\", \"cyto\",\n", " \"transformer_cp3\", \"neurips_cellpose_default\", \"neurips_cellpose_transformer\",\n", " \"neurips_grayscale_cyto2\"]\n", "model_choice = \"cyto3\"\n", "\n", "## diam_mean, flow_threshold, cellprob_threshold, and min_size are all arguments in the CellPose API --> see cellpose documentation for more details\n", "\n", "iSD_object.cellpose_segment(gpu = False, \n", " model_type = model_choice, \n", " diam_mean = 50.0, image_folder = image_folder, \n", " output_folder = output_folder,\n", " img = img, \n", " flow_threshold = 0.4, \n", " cellprob_threshold = 0.0, \n", " min_size = 15, \n", " re_do = True)" ] }, { "cell_type": "code", "execution_count": 8, "id": "db08a78f-6f40-4023-bdbe-145e8704a77e", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(
,\n", " ,\n", " )" ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "masks = os.listdir(output_folder)\n", "tf.imshow(tf.imread(output_folder + \"/\" + masks[0]))" ] }, { "cell_type": "markdown", "id": "5292a0b7-700d-48d5-bc29-d707867a74bb", "metadata": {}, "source": [ "## Mask Expansion" ] }, { "cell_type": "code", "execution_count": 9, "id": "86e0d906-6bb7-4312-9f4c-8d69b8ad69c2", "metadata": {}, "outputs": [], "source": [ "'''\n", "Example of mask expansion:\n", "'''\n", "distance = 5 ###3 number of pixles to expand by\n", "image_folder = iSD_object.directory_object.masks_dir + \"/cellpose\"\n", "output_folder = iSD_object.directory_object.masks_dir + \"/cellpose_expanded_5\"\n", "iSD.mask_expand(distance, image_source = image_folder, output_directory = output_folder)" ] }, { "cell_type": "code", "execution_count": 10, "id": "36fc54cf-d6b6-4823-968d-eebe9bfd09b9", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(
,\n", " ,\n", " )" ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "masks = os.listdir(output_folder)\n", "tf.imshow(tf.imread(output_folder + \"/\" + masks[0]))" ] }, { "cell_type": "markdown", "id": "3e9b29b0-9f0f-4500-a9b9-4c5ea3d90861", "metadata": {}, "source": [ "## 'Simple' Denoising" ] }, { "cell_type": "code", "execution_count": 12, "id": "b7e9fc5d-cee0-4e21-9383-aaa0a8ac33e2", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "C:/Users/Default/Desktop/Example_IMC/images/simple_denoised_Collagen_Vitronectin/CRC_1_ROI_001.ome.tiff denoising of channel 23 has been completed!\n", "C:/Users/Default/Desktop/Example_IMC/images/simple_denoised_Collagen_Vitronectin/CRC_1_ROI_002.ome.tiff denoising of channel 23 has been completed!\n", "C:/Users/Default/Desktop/Example_IMC/images/simple_denoised_Collagen_Vitronectin/CRC_2_ROI_001.ome.tiff denoising of channel 23 has been completed!\n", "C:/Users/Default/Desktop/Example_IMC/images/simple_denoised_Collagen_Vitronectin/CRC_2_ROI_002.ome.tiff denoising of channel 23 has been completed!\n", "C:/Users/Default/Desktop/Example_IMC/images/simple_denoised_Collagen_Vitronectin/CRC_2_ROI_003.ome.tiff denoising of channel 23 has been completed!\n", "C:/Users/Default/Desktop/Example_IMC/images/simple_denoised_Collagen_Vitronectin/CRC_2_ROI_004.ome.tiff denoising of channel 23 has been completed!\n", "C:/Users/Default/Desktop/Example_IMC/images/simple_denoised_Collagen_Vitronectin/CRC_3_ROI_001.ome.tiff denoising of channel 23 has been completed!\n", "C:/Users/Default/Desktop/Example_IMC/images/simple_denoised_Collagen_Vitronectin/CRC_3_ROI_002.ome.tiff denoising of channel 23 has been completed!\n", "C:/Users/Default/Desktop/Example_IMC/images/simple_denoised_Collagen_Vitronectin/CRC_3_ROI_003.ome.tiff denoising of channel 23 has been completed!\n", "C:/Users/Default/Desktop/Example_IMC/images/simple_denoised_Collagen_Vitronectin/CRC_3_ROI_004.ome.tiff denoising of channel 23 has been completed!\n" ] } ], "source": [ "'''\n", "Example of simple denoising:\n", "'''\n", "input_folder = iSD_object.directory_object.img_dir + \"/img\"\n", "output_folder = iSD_object.directory_object.img_dir + \"/simple_denoised_Collagen_Vitronectin\"\n", "channel_list = [23]\n", "sigma_range = None ## or a list of floats of sigmas to calibrate nl_means_denoising on ('best' sigma from j-invariate calibration then use for a finer-tuning calibration, whose output is finally used to denoise)\n", "pre_cal = False ## when False, the simple denoiser sigmas are calibrated on cal_img. If True, then assumes this has alreayd been done by Experiment.simple_denoise_executor.calibrate_on_img()\n", "cal_img = 0 ## an integer, denoting which image in the dataset to do the initial calibraiton on. As in --> os.listdir(folder_path)[cal_img]\n", "\n", "iSD_object.simple_denoise(input_folder, output_folder, channel_list, sigma_range = sigma_range, pre_cal = False, cal_img = 0)" ] }, { "cell_type": "code", "execution_count": null, "id": "2ad07c25-764d-409d-bb7a-4cf23d51a756", "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.10.17" } }, "nbformat": 4, "nbformat_minor": 5 }