HenriquesLab · mariana-gferreira · Mar 5, 2025
diff --git a/.tools/python_tools/dict_parser.py b/.tools/python_tools/dict_parser.py
@@ -1,65 +1,67 @@
 dict_manifest_to_version = {
-                    'Notebook_Augmentor_ZeroCostDL4Mic': 'Augmentor' ,
-                    'Notebook_CARE_2D_ZeroCostDL4Mic': 'CARE (2D)' ,
-                    'Notebook_CARE_3D_ZeroCostDL4Mic': 'CARE (3D)' ,
-                    'Notebook_Cellpose_2D_ZeroCostDL4Mic': 'Cellpose' ,
-                    'Notebook_CycleGAN_2D_ZeroCostDL4Mic': 'CycleGAN' ,
-                    'Notebook_DFCAN_ZeroCostDL4Mic': 'DFCAN 2D' ,
-                    'Notebook_DRMIME_ZeroCostDL4Mic': 'DRMIME' ,
-                    'Notebook_DecoNoising_2D_ZeroCostDL4Mic': 'DecoNoising' ,
-                    'Notebook_Deep-STORM_2D_ZeroCostDL4Mic': 'Deep-STORM' ,
-                    'Notebook_Deep-STORM_2D_ZeroCostDL4Mic_DeepImageJ': 'Deep-STORM BioimageIO' ,
-                    'Notebook_DenoiSeg_2D_ZeroCostDL4Mic': 'DenoiSeg' ,
-                    'Notebook_Detectron2_ZeroCostDL4Mic': 'Detectron 2D' ,
-                    'Notebook_EmbedSeg_2D_ZeroCostDL4Mic': 'EmbedSeg 2D' ,
-                    'Notebook_Interactive_Segmentation_Kaibu_2D_ZeroCostDL4Mic': 'Kaibu' ,
-                    'Notebook_MaskRCNN_ZeroCostDL4Mic': 'MaskRCNN' ,
-                    'Notebook_Noise2Void_2D_ZeroCostDL4Mic': 'Noise2Void (2D)' ,
-                    'Notebook_Noise2Void_3D_ZeroCostDL4Mic': 'Noise2Void (3D)' ,
-                    'Notebook_Quality_Control_ZeroCostDL4Mic': 'Quality_control' ,
-                    'Notebook_RCAN_3D_ZeroCostDL4Mic': '3D RCAN' ,
-                    'Notebook_RetinaNet_ZeroCostDL4Mic': 'RetinaNet' ,
-                    'Notebook_SplineDist_2D_ZeroCostDL4Mic': 'SplineDist (2D)' ,
-                    'Notebook_StarDist_2D_ZeroCostDL4Mic': 'StarDist 2D' ,
-                    'Notebook_StarDist_3D_ZeroCostDL4Mic': 'StarDist 3D' ,
-                    'Notebook_U-Net_2D_ZeroCostDL4Mic': 'U-Net (2D)', 
-                    'Notebook_U-Net_2D_multilabel_ZeroCostDL4Mic': 'U-Net (2D) multilabel',
-                    'Notebook_U-Net_3D_ZeroCostDL4Mic': 'U-Net (3D)' ,
-                    'Notebook_YOLOv2_ZeroCostDL4Mic': 'YOLOv2' ,
-                    'Notebook_fnet_2D_ZeroCostDL4Mic': 'fnet (2D)' ,
-                    'Notebook_fnet_3D_ZeroCostDL4Mic': 'fnet (3D)' ,
-                    'Notebook_pix2pix_2D_ZeroCostDL4Mic': 'pix2pix' ,
-                    'WGAN_ZeroCostDL4Mic.ipynb': 'WGAN 2D',
-                    }
+    'light-swimsuit': 'Augmentor',
+    'fun-high-heels': 'CARE (2D)',
+    'opalescent-ribbon': 'CARE (3D)',
+    'polished-t-shirt': 'Cellpose',
+    'flattering-bikini': 'CycleGAN',
+    'mesmerizing-shoe': 'DFCAN 2D',
+    'playful-scarf': 'Diffusion model for SMLM',
+    'irresistible-swimsuit': 'DRMIME',
+    'flexible-helmet': 'DecoNoising',
+    'inspiring-sandal': 'Deep-STORM',
+    'silky-shorts': 'Deep-STORM BioimageIO',
+    'smooth-safety-vest': 'DenoiSeg',
+    'convenient-t-shirt': 'Detectron 2D',
+    'smooth-graduation-hat': 'EmbedSeg 2D',
+    'timeless-running-shirt': 'Kaibu',
+    'regal-ribbon': 'MaskRCNN',
+    'brisk-scarf': 'Noise2Void (2D)',
+    'cozy-hiking-boot': 'Noise2Void (3D)',
+    'lively-t-shirt': 'Quality_control',
+    'striking-necktie': '3D RCAN',
+    'convenient-purse': 'RetinaNet',
+    'uplifting-backpack': 'SplineDist (2D)',
+    'exciting-backpack': 'StarDist 2D',
+    'cheerful-cap': 'StarDist 3D',
+    'resplendent-ribbon': 'U-Net (2D)',
+    'whimsical-helmet': 'U-Net (2D) multilabel',
+    'joyful-top-hat': 'U-Net (3D)',
+    'bold-shorts': 'YOLOv2',
+    'limited-edition-crown': 'fnet (2D)',
+    'authoritative-ballet-shoes': 'fnet (3D)',
+    'fluid-glasses': 'pix2pix',
+    'slinky-bikini': 'WGAN 2D'
+}
 
 dict_dl4miceverywhere_to_manifest = {
-    'CARE_2D_DL4Mic': 'Notebook_CARE_2D_ZeroCostDL4Mic',
-    'CARE_3D_DL4Mic': 'Notebook_CARE_3D_ZeroCostDL4Mic',
-    'Cellpose_2D_DL4Mic': 'Notebook_Cellpose_2D_ZeroCostDL4Mic',
-    'CycleGAN_DL4Mic': 'Notebook_CycleGAN_2D_ZeroCostDL4Mic',
-    'DFCAN_DL4Mic': 'Notebook_DFCAN_ZeroCostDL4Mic',
-    'DRMIME_2D_DL4Mic': 'Notebook_DRMIME_ZeroCostDL4Mic',
-    'DecoNoising_2D_DL4Mic': 'Notebook_DecoNoising_2D_ZeroCostDL4Mic',
-    'Deep-STORM_2D_DL4Mic': 'Notebook_Deep-STORM_2D_ZeroCostDL4Mic',
-    'DenoiSeg_DL4Mic': 'Notebook_DenoiSeg_2D_ZeroCostDL4Mic',
-    'Detectron2_2D_DL4Mic': 'Notebook_Detectron2_ZeroCostDL4Mic',
-    'Embedseg_DL4Mic': 'Notebook_EmbedSeg_2D_ZeroCostDL4Mic',
-    'MaskRCNN_DL4Mic': 'Notebook_MaskRCNN_ZeroCostDL4Mic',
-    'Noise2Void_2D_DL4Mic': 'Notebook_Noise2Void_2D_ZeroCostDL4Mic',
-    'Noise2Void_3D_DL4Mic': 'Notebook_Noise2Void_3D_ZeroCostDL4Mic',
-    '3D-RCAN_DL4Mic': 'Notebook_RCAN_3D_ZeroCostDL4Mic',
-    'RetinaNet_DL4Mic': 'Notebook_RetinaNet_ZeroCostDL4Mic',
-    'SplineDist_2D_DL4Mic': 'Notebook_SplineDist_2D_ZeroCostDL4Mic',
-    'StarDist_2D_DL4Mic': 'Notebook_StarDist_2D_ZeroCostDL4Mic',
-    'StarDist_3D_DL4Mic': 'Notebook_StarDist_3D_ZeroCostDL4Mic',
-    'U-Net_2D_DL4Mic': 'Notebook_U-Net_2D_ZeroCostDL4Mic',
-    'U-Net_2D_Multilabel_DL4Mic': 'Notebook_U-Net_2D_multilabel_ZeroCostDL4Mic',
-    'U-Net_3D_DL4Mic': 'Notebook_U-Net_3D_ZeroCostDL4Mic',
-    'YOLOv2_DL4Mic': 'Notebook_YOLOv2_ZeroCostDL4Mic',
-    'fnet_2D_DL4Mic': 'Notebook_fnet_2D_ZeroCostDL4Mic',
-    'fnet_3D_DL4Mic': 'Notebook_fnet_3D_ZeroCostDL4Mic',
-    'pix2pix_DL4Mic': 'Notebook_pix2pix_2D_ZeroCostDL4Mic',
-    'WGAN_DL4Mic': 'WGAN_ZeroCostDL4Mic.ipynb',
+    'CARE_2D_DL4Mic': 'fun-high-heels',
+    'CARE_3D_DL4Mic': 'opalescent-ribbon',
+    'Cellpose_2D_DL4Mic': 'polished-t-shirt',
+    'CycleGAN_DL4Mic': 'flattering-bikini',
+    'DFCAN_DL4Mic': 'mesmerizing-shoe',
+    'Diffusion_SMLM_DL4Mic': 'playful-scarf',
+    'DRMIME_2D_DL4Mic': 'irresistible-swimsuit',
+    'DecoNoising_2D_DL4Mic': 'flexible-helmet',
+    'Deep-STORM_2D_DL4Mic': 'inspiring-sandal',
+    'DenoiSeg_DL4Mic': 'smooth-safety-vest',
+    'Detectron2_2D_DL4Mic': 'convenient-t-shirt',
+    'Embedseg_DL4Mic': 'smooth-graduation-hat',
+    'MaskRCNN_DL4Mic': 'regal-ribbon',
+    'Noise2Void_2D_DL4Mic': 'brisk-scarf',
+    'Noise2Void_3D_DL4Mic': 'cozy-hiking-boot',
+    '3D-RCAN_DL4Mic': 'striking-necktie',
+    'RetinaNet_DL4Mic': 'convenient-purse',
+    'SplineDist_2D_DL4Mic': 'uplifting-backpack',
+    'StarDist_2D_DL4Mic': 'exciting-backpack',
+    'StarDist_3D_DL4Mic': 'cheerful-cap',
+    'U-Net_2D_DL4Mic': 'resplendent-ribbon',
+    'U-Net_2D_Multilabel_DL4Mic': 'whimsical-helmet',
+    'U-Net_3D_DL4Mic': 'joyful-top-hat',
+    'YOLOv2_DL4Mic': 'bold-shorts',
+    'fnet_2D_DL4Mic': 'limited-edition-crown',
+    'fnet_3D_DL4Mic': 'authoritative-ballet-shoes',
+    'pix2pix_DL4Mic': 'fluid-glasses',
+    'WGAN_DL4Mic': 'slinky-bikini'
 }
 
 dict_dl4miceverywhere_to_version = {dl4mic_name: dict_manifest_to_version[dict_dl4miceverywhere_to_manifest[dl4mic_name]] for dl4mic_name in dict_dl4miceverywhere_to_manifest.keys()}
diff --git a/.tools/python_tools/update_manifest_legacy_id.ipynb b/.tools/python_tools/update_manifest_legacy_id.ipynb
@@ -0,0 +1,88 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Update ID in DL4MicEverywhere configuration.yaml"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from os import walk\n",
+    "from pathlib import Path\n",
+    "from ruyaml import YAML\n",
+    "from bioimageio.core import load_description\n",
+    "\n",
+    "ZC_config_path = '../../notebooks/ZeroCostDL4Mic_notebooks'\n",
+    "\n",
+    "for (dirpath, dirnames, filenames) in walk(ZC_config_path):\n",
+    "    for file in filenames:\n",
+    "        if file.endswith('.yaml'):\n",
+    "            with open(Path(dirpath) / file, 'r', encoding='utf8') as f:\n",
+    "                yaml = YAML()\n",
+    "                yaml.preserve_quotes = True\n",
+    "                config = yaml.load(f)\n",
+    "            try:\n",
+    "                bmz_rdf = load_description( 'zero/' + config['id'])\n",
+    "                bmz_id = bmz_rdf.config['bioimageio']['nickname']\n",
+    "                config['id'] = bmz_id\n",
+    "            except:\n",
+    "                print('Could not find the bioimage.io id for the notebook: ' + config['id'])\n",
+    "\n",
+    "            if 'links' in config:\n",
+    "                links=[]\n",
+    "                for link in config['links']:\n",
+    "                    if link == 'Notebook Preview':\n",
+    "                        continue\n",
+    "                    link_rdf = load_description( 'zero/' + link )\n",
+    "                    link_bmz_id = link_rdf.config['bioimageio']['nickname']\n",
+    "                    links.append(link_bmz_id)\n",
+    "                config['links'] = links\n",
+    "\n",
+    "\n",
+    "            with open(Path(dirpath) / file, 'w', encoding='utf8') as f:\n",
+    "                yaml = YAML()\n",
+    "                yaml.preserve_quotes = True\n",
+    "                yaml.default_flow_style = False\n",
+    "                yaml.indent(mapping=2, sequence=4, offset=2)\n",
+    "                yaml.width = 10e10\n",
+    "                yaml.dump(config, f)\n",
+    "\n",
+    "            "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "zc_manifest_update",
+   "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": "3.13.2"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/notebooks/Bespoke_notebooks/bioimageio-pytorch/configuration.yaml b/notebooks/Bespoke_notebooks/bioimageio-pytorch/configuration.yaml
@@ -1,7 +1,7 @@
 authors:
 - Estibaliz Gómez-de-Mariscal
 - Constantin Pape
-- Mariana Ferreira
+- Mariana G Ferreira
 - Iván Hidalgo-Cenalmor
 - BioImage Model Zoo team
 badges:
@@ -30,9 +30,8 @@ description: Notebook to load models from the BioImage Model Zoo in PyTorch
 download_url: https://colab.research.google.com/github/HenriquesLab/DL4MicEverywhere/blob/main/notebooks/Bespoke_notebooks/bioimageio-pytorch/load_bioimageio_pytorch.ipynb
 format_version: 0.5.3
 git_repo: https://github.com/bioimage-io/core-bioimage-io-python/tree/main
-links:
-- Notebook Preview
 name: General BioImageIO notebook - PyTorch
+id: 'smooth-hat'
 tags:
 - colab
 - notebook

diff --git a/notebooks/Bespoke_notebooks/bioimageio-tensorflow/configuration.yaml b/notebooks/Bespoke_notebooks/bioimageio-tensorflow/configuration.yaml
@@ -29,8 +29,7 @@ description: Notebook to load models from the BioImage Model Zoo in TensorFlow
 download_url: https://colab.research.google.com/github/HenriquesLab/DL4MicEverywhere/blob/main/notebooks/Bespoke_notebooks/bioimageio-tensorflow/load_bioimageio_tensorflow.ipynb
 format_version: 0.2.3
 git_repo: https://github.com/bioimage-io/core-bioimage-io-python/tree/main
-links:
-- Notebook Preview
+id: 'sparkling-sari'
 name: General BioImageIO notebook - TensorFlow
 tags:
 - colab

diff --git a/notebooks/ZeroCostDL4Mic_notebooks/3D-RCAN_DL4Mic/configuration.yaml b/notebooks/ZeroCostDL4Mic_notebooks/3D-RCAN_DL4Mic/configuration.yaml
@@ -1,14 +1,14 @@
 authors:
-- Guillaume Jacquemet and the ZeroCostDL4Mic Team
+  - Guillaume Jacquemet and the ZeroCostDL4Mic Team
 badges:
-- icon: https://colab.research.google.com/assets/colab-badge.svg
-  label: Open in Colab
-  url: https://colab.research.google.com/github/HenriquesLab/ZeroCostDL4Mic/blob/master/Colab_notebooks/3D_RCAN_ZeroCostDL4Mic.ipynb
+  - icon: https://colab.research.google.com/assets/colab-badge.svg
+    label: Open in Colab
+    url: https://colab.research.google.com/github/HenriquesLab/ZeroCostDL4Mic/blob/master/Colab_notebooks/3D_RCAN_ZeroCostDL4Mic.ipynb
 cite:
-- doi: https://doi.org/10.1038/s41467-021-22518-0
-  text: von Chamier, L., Laine, R.F., Jukkala, J. et al. Democratising deep learning for microscopy with ZeroCostDL4Mic. Nat Commun 12, 2276 (2021). https://doi.org/10.1038/s41467-021-22518-0
-- doi: https://doi.org/10.1038/s41592-021-01155-x
-  text: Chen, J., Sasaki, H., Lai, H. et al. Three-dimensional residual channel attention networks denoise and sharpen fluorescence microscopy image volumes. Nat Methods 18, 678–687 (2021). https://doi.org/10.1038/s41592-021-01155-x
+  - doi: https://doi.org/10.1038/s41467-021-22518-0
+    text: von Chamier, L., Laine, R.F., Jukkala, J. et al. Democratising deep learning for microscopy with ZeroCostDL4Mic. Nat Commun 12, 2276 (2021). https://doi.org/10.1038/s41467-021-22518-0
+  - doi: https://doi.org/10.1038/s41592-021-01155-x
+    text: Chen, J., Sasaki, H., Lai, H. et al. Three-dimensional residual channel attention networks denoise and sharpen fluorescence microscopy image volumes. Nat Methods 18, 678–687 (2021). https://doi.org/10.1038/s41592-021-01155-x
 config:
   dl4miceverywhere:
     cuda_version: 11.8.0
@@ -23,24 +23,23 @@ config:
     sections_to_remove: 1.2. 2. 6.2.
     ubuntu_version: '22.04'
 covers:
-- https://raw.githubusercontent.com/HenriquesLab/ZeroCostDL4Mic/master/BioimageModelZoo/Images/3D_CARE_notebook.png
+  - https://raw.githubusercontent.com/HenriquesLab/ZeroCostDL4Mic/master/BioimageModelZoo/Images/3D_CARE_notebook.png
 description: Supervised restoration of 3D images. RCAN is a neural network capable of image restoration from corrupted bio-images. The network allows image denoising and resolution improvement in 3D images, in a supervised training manner. The function of the network is essentially determined by the set of images provided in the training dataset. For instance, if noisy images are provided as input and high signal-to-noise ratio images are provided as targets, the network will perform denoising. Note - visit the ZeroCostDL4Mic wiki to check the original publications this network is based on and make sure you cite these.
 documentation: https://raw.githubusercontent.com/HenriquesLab/ZeroCostDL4Mic/master/BioimageModelZoo/README.md
 download_url: https://raw.githubusercontent.com/HenriquesLab/ZeroCostDL4Mic/master/Colab_notebooks/3D_RCAN_ZeroCostDL4Mic.ipynb
 git_repo: https://github.com/HenriquesLab/ZeroCostDL4Mic
-id: Notebook_RCAN_3D_ZeroCostDL4Mic
+id: striking-necktie
 license: MIT
 links:
-- Notebook Preview
-- Dataset_CARE_3D_ZeroCostDL4Mic
+  - fluffy-popcorn
 name: RCAN (3D) - ZeroCostDL4Mic
 tags:
-- colab
-- notebook
-- 3D-RCAN
-- denoising
-- ZeroCostDL4Mic
-- 3D
-- dl4miceverywhere
+  - colab
+  - notebook
+  - 3D-RCAN
+  - denoising
+  - ZeroCostDL4Mic
+  - 3D
+  - dl4miceverywhere
 type: application
 version: 1.14.1
diff --git a/notebooks/ZeroCostDL4Mic_notebooks/CARE_2D_DL4Mic/configuration.yaml b/notebooks/ZeroCostDL4Mic_notebooks/CARE_2D_DL4Mic/configuration.yaml
@@ -1,14 +1,14 @@
 authors:
-- Lucas von Chamier and the ZeroCostDL4Mic Team
+  - Lucas von Chamier and the ZeroCostDL4Mic Team
 badges:
-- icon: https://colab.research.google.com/assets/colab-badge.svg
-  label: Open in Colab
-  url: https://colab.research.google.com/github/HenriquesLab/ZeroCostDL4Mic/blob/master/Colab_notebooks/CARE_2D_ZeroCostDL4Mic.ipynb
+  - icon: https://colab.research.google.com/assets/colab-badge.svg
+    label: Open in Colab
+    url: https://colab.research.google.com/github/HenriquesLab/ZeroCostDL4Mic/blob/master/Colab_notebooks/CARE_2D_ZeroCostDL4Mic.ipynb
 cite:
-- doi: https://doi.org/10.1038/s41467-021-22518-0
-  text: von Chamier, L., Laine, R.F., Jukkala, J. et al. Democratising deep learning for microscopy with ZeroCostDL4Mic. Nat Commun 12, 2276 (2021). https://doi.org/10.1038/s41467-021-22518-0
-- doi: https://doi.org/10.1038/s41592-018-0216-7
-  text: 'Weigert, M., Schmidt, U., Boothe, T. et al. Content-aware image restoration: pushing the limits of fluorescence microscopy. Nat Methods 15, 1090–1097 (2018). https://doi.org/10.1038/s41592-018-0216-7'
+  - doi: https://doi.org/10.1038/s41467-021-22518-0
+    text: von Chamier, L., Laine, R.F., Jukkala, J. et al. Democratising deep learning for microscopy with ZeroCostDL4Mic. Nat Commun 12, 2276 (2021). https://doi.org/10.1038/s41467-021-22518-0
+  - doi: https://doi.org/10.1038/s41592-018-0216-7
+    text: 'Weigert, M., Schmidt, U., Boothe, T. et al. Content-aware image restoration: pushing the limits of fluorescence microscopy. Nat Methods 15, 1090–1097 (2018). https://doi.org/10.1038/s41592-018-0216-7'
 config:
   dl4miceverywhere:
     cuda_version: 11.8.0
@@ -23,29 +23,28 @@ config:
     sections_to_remove: 1.1. 1.2. 2. 6.3.
     ubuntu_version: '22.04'
 covers:
-- https://raw.githubusercontent.com/HenriquesLab/ZeroCostDL4Mic/master/BioimageModelZoo/Images/CARE2D_notebook.png
-- https://raw.githubusercontent.com/HenriquesLab/ZeroCostDL4Mic/master/BioimageModelZoo/Images/CARE2D_notebook_2.png
-- https://raw.githubusercontent.com/HenriquesLab/ZeroCostDL4Mic/master/BioimageModelZoo/Images/CARE2D_notebook_3.png
+  - https://raw.githubusercontent.com/HenriquesLab/ZeroCostDL4Mic/master/BioimageModelZoo/Images/CARE2D_notebook.png
+  - https://raw.githubusercontent.com/HenriquesLab/ZeroCostDL4Mic/master/BioimageModelZoo/Images/CARE2D_notebook_2.png
+  - https://raw.githubusercontent.com/HenriquesLab/ZeroCostDL4Mic/master/BioimageModelZoo/Images/CARE2D_notebook_3.png
 description: Supervised restoration of 2D images. CARE is a neural network capable of image restoration from corrupted bio-images, first published in 2018 by Weigert et al. in Nature Methods. The network allows image denoising and resolution improvement in 2D and 3D images, in a supervised training manner. The function of the network is essentially determined by the set of images provided in the training dataset. For instance, if noisy images are provided as input and high signal-to-noise ratio images are provided as targets, the network will perform denoising. Note - visit the ZeroCostDL4Mic wiki to check the original publications this network is based on and make sure you cite these.
 documentation: https://raw.githubusercontent.com/HenriquesLab/ZeroCostDL4Mic/master/BioimageModelZoo/README.md
 download_url: https://raw.githubusercontent.com/HenriquesLab/ZeroCostDL4Mic/master/Colab_notebooks/CARE_2D_ZeroCostDL4Mic.ipynb
 git_repo: https://github.com/HenriquesLab/ZeroCostDL4Mic
-id: Notebook_CARE_2D_ZeroCostDL4Mic
+id: fun-high-heels
 license: MIT
 links:
-- Notebook Preview
-- Dataset_CARE_2D_ZeroCostDL4Mic
-- Dataset_Noisy_Nuclei_ZeroCostDL4Mic
-- Dataset_CARE_2D_coli_DeepBacs
-- Dataset_fnet_DeepBacs
+  - chewy-garlic
+  - nutty-knuckle
+  - velvety-paella
+  - resourceful-potato
 name: CARE (2D) - ZeroCostDL4Mic
 tags:
-- colab
-- notebook
-- CARE
-- denoising
-- ZeroCostDL4Mic
-- 2D
-- dl4miceverywhere
+  - colab
+  - notebook
+  - CARE
+  - denoising
+  - ZeroCostDL4Mic
+  - 2D
+  - dl4miceverywhere
 type: application
 version: 1.15.2