Deploying to gh-pages from @ 6e0e4a7 🚀

FynnBe · Aug 8, 2023 · fa929ff · fa929ff
1 parent 9def9f7
commit fa929ff
Show file tree

Hide file tree

Showing 3 changed files with 72 additions and 72 deletions.
diff --git a/collection.json b/collection.json
@@ -21,7 +21,7 @@
         "https://zenodo.org/api/files/a6d65a8b-4fed-453f-89f6-515a2a73a99e/cover.png"
       ],
       "description": "Neuron segmentation in EM, trained on the CREMI challenge data.",
-      "download_count": 30939,
+      "download_count": 30993,
       "id": "10.5281/zenodo.5874741",
       "license": "CC-BY-4.0",
       "links": [
@@ -113,7 +113,7 @@
         "https://zenodo.org/api/files/9ae447ab-07e8-4f44-bc0a-b750d72fe478/example_histo.jpg"
       ],
       "description": "StarDist - Object Detection with Star-convex Shapes",
-      "download_count": 26182,
+      "download_count": 26235,
       "id": "10.5281/zenodo.6338614",
       "license": "BSD-3-Clause",
       "links": [
@@ -159,7 +159,7 @@
         "https://zenodo.org/api/files/647f8e3d-3f05-4e3d-a43e-e72717a076a0/cover.png"
       ],
       "description": "Perform leaf segmentation in light microscopy images of Arabidopsis",
-      "download_count": 24069,
+      "download_count": 24119,
       "id": "10.5281/zenodo.6348728",
       "license": "MIT",
       "links": [
@@ -254,7 +254,7 @@
         "https://zenodo.org/api/files/a7eb8d94-9217-4276-8b0d-ff88e1ac78c7/cover.png"
       ],
       "description": "Segmentation of mitochondria in EM images.",
-      "download_count": 20708,
+      "download_count": 20753,
       "id": "10.5281/zenodo.6406803",
       "license": "CC-BY-4.0",
       "links": [
@@ -299,7 +299,7 @@
         "https://zenodo.org/api/files/9c2e422f-08fd-4692-bcf9-41e1a74e193d/pred.png"
       ],
       "description": "3D Unet trained on confocal images of Arabidopsis thaliana apical stem cell: https://www.repository.cam.ac.uk/handle/1810/262530. Voxel size: [0.25, 0.25, 0.25]",
-      "download_count": 13410,
+      "download_count": 13413,
       "id": "10.5281/zenodo.6346511",
       "license": "MIT",
       "links": [
@@ -387,7 +387,7 @@
         "https://zenodo.org/api/files/87d721be-2c22-4b0c-b6e0-0aed3b4bdc33/pred.png"
       ],
       "description": "A 3D U-Net trained to predict the cell boundaries in live light sheet images of developing mouse embryo. Voxel size: 0.2\u00d70.2\u00d71.0 \u00b5m^3",
-      "download_count": 10515,
+      "download_count": 10519,
       "id": "10.5281/zenodo.6384845",
       "license": "MIT",
       "links": [
@@ -428,7 +428,7 @@
         "https://zenodo.org/api/files/d2f261ff-8734-4ad0-a84a-6c80c05e5bd3/cover.png"
       ],
       "description": "Cell segmentation in EM of platynereis.",
-      "download_count": 9308,
+      "download_count": 9311,
       "id": "10.5281/zenodo.6028280",
       "license": "CC-BY-4.0",
       "links": [
@@ -467,7 +467,7 @@
         "https://zenodo.org/api/files/ac8ecde9-bafd-4c2c-9ede-0f4a47077d31/cover.png"
       ],
       "description": "Mitochondria segmentation for electron microscopy.",
-      "download_count": 9149,
+      "download_count": 9152,
       "id": "10.5281/zenodo.5874841",
       "license": "CC-BY-4.0",
       "links": [
@@ -656,7 +656,7 @@
         "https://zenodo.org/api/files/8e1dc6e7-bdc9-412c-b06c-e79ee375989f/cover.png"
       ],
       "description": "Cell segmentation for phase-contrast microscopy.",
-      "download_count": 5784,
+      "download_count": 5787,
       "id": "10.5281/zenodo.5869899",
       "license": "CC-BY-4.0",
       "links": [
@@ -746,7 +746,7 @@
         "https://zenodo.org/api/files/c95661ca-b06a-464f-810c-5c9804ebe982/coverimage.jpg"
       ],
       "description": "Cellular membrane prediction model for volume SEM datasets",
-      "download_count": 5147,
+      "download_count": 5150,
       "id": "10.5281/zenodo.7274275",
       "license": "CC-BY-4.0",
       "links": [
@@ -791,7 +791,7 @@
         "https://zenodo.org/api/files/c0cfb6e4-94b3-499b-aadf-34bea560e8df/cover.png"
       ],
       "description": "Prediction enhancer for segmenting mitochondria in EM images.",
-      "download_count": 4763,
+      "download_count": 4766,
       "id": "10.5281/zenodo.6406756",
       "license": "CC-BY-4.0",
       "links": [
@@ -839,7 +839,7 @@
         "https://zenodo.org/api/files/990c06ad-189d-4cfa-8168-46bb2858a634/pred.png"
       ],
       "description": "A 2D U-Net trained to predict the cell boundaries in confocal stacks of Arabidopsis ovules. Trained on z-slices of 3D confocal images.",
-      "download_count": 4288,
+      "download_count": 4291,
       "id": "10.5281/zenodo.6334383",
       "license": "MIT",
       "links": [
@@ -887,7 +887,7 @@
         "https://zenodo.org/api/files/2d92e820-1b25-40f5-a2af-3219df97d7f7/resultImage.png"
       ],
       "description": "DeepImageJ compatible U-Net trained to segment phase contrast microscopy images of pancreatic stem cells on a 2D polystyrene substrate.",
-      "download_count": 4283,
+      "download_count": 4286,
       "id": "10.5281/zenodo.5914248",
       "license": "BSD-2-Clause",
       "links": [
@@ -953,7 +953,7 @@
         "https://zenodo.org/api/files/1e6b7502-1c32-4f3a-98ff-bbed8f2b808f/phenotypes_features.png"
       ],
       "description": "EmbryoNet Model by embryoNet Team",
-      "download_count": 4175,
+      "download_count": 4192,
       "id": "10.5281/zenodo.7315440",
       "license": "GPL-3.0",
       "links": [
@@ -996,7 +996,7 @@
         "https://zenodo.org/api/files/eb8f4259-001c-4989-b8ea-d2997918599d/output.png"
       ],
       "description": "A 3D U-net to predict cell membranes in plant tissues, trained on volumes of Arabidopsis thaliana ovules acquired on a confocal microscope.",
-      "download_count": 3519,
+      "download_count": 3522,
       "id": "10.5281/zenodo.5749843",
       "license": "MIT",
       "links": [
@@ -1101,7 +1101,7 @@
         "https://zenodo.org/api/files/573e9a49-d156-46ea-838e-55ec9ebe9e00/cover.png"
       ],
       "description": "affinity-model",
-      "download_count": 3479,
+      "download_count": 3482,
       "id": "10.5281/zenodo.6079314",
       "license": "CC-BY-4.0",
       "links": [
@@ -1186,7 +1186,7 @@
         "https://zenodo.org/api/files/6955b0c0-b211-42a1-8251-0e3d82f612d5/pred.png"
       ],
       "description": "A 3D U-Net trained to predict the cell boundaries in lightsheet stacks of Arabidopsis Lateral Root Primordia. (0.25x0.1625x0.1625) microns ZYX",
-      "download_count": 3239,
+      "download_count": 3242,
       "id": "10.5281/zenodo.6334777",
       "license": "MIT",
       "links": [
@@ -1234,7 +1234,7 @@
         "https://zenodo.org/api/files/9a608180-9f71-43d9-9242-b4e0a4aec21d/ilastik_pred.png"
       ],
       "description": "A 3d U-Net trained to predict the cell boundaries in confocal stacks of Arabidopsis ovules. Voxel size: (0.235, 0.150, 0.150) microns ZYX",
-      "download_count": 3056,
+      "download_count": 3059,
       "id": "10.5281/zenodo.6334583",
       "license": "MIT",
       "links": [
@@ -1280,7 +1280,7 @@
         "https://zenodo.org/api/files/4a69ddca-3874-4469-b11d-b9ed626d197f/pred.png"
       ],
       "description": "2D Unet trained on z-slices of confocal images of Arabidopsis thaliana apical stem cells. Trained on z-slices of 3D confocal images. Voxel size: [0.25, 0.25, 0.25]",
-      "download_count": 3041,
+      "download_count": 3044,
       "id": "10.5281/zenodo.6334881",
       "license": "MIT",
       "links": [
@@ -1364,7 +1364,7 @@
         "https://zenodo.org/api/files/5a9cfb56-3a5d-4796-986d-8f46b7987b92/cover.png"
       ],
       "description": "2D UNet trained using ZeroCostDL4Mic notebooks on data from ISBI Challenge for neuron segmentation in Transmission Electron Microscopy images.",
-      "download_count": 2951,
+      "download_count": 2954,
       "id": "10.5281/zenodo.5817052",
       "license": "MIT",
       "links": [
@@ -1407,7 +1407,7 @@
         "https://zenodo.org/api/files/9d3f4b43-f5b6-4596-adc4-12cfb0ab83c6/diagram-of-InceptionV3.png"
       ],
       "description": "The winning model of HPA image classification 2021 by Bestfitting",
-      "download_count": 2853,
+      "download_count": 2856,
       "id": "10.5281/zenodo.5910854",
       "license": "MIT",
       "links": [
@@ -1445,7 +1445,7 @@
         "https://zenodo.org/api/files/91895c21-4e8e-4cd0-98c3-1fae496b6068/bestfitting-densenet-diagram.png"
       ],
       "description": "The winning model of HPA image classification 2019 by Bestfitting",
-      "download_count": 2843,
+      "download_count": 2846,
       "id": "10.5281/zenodo.5910163",
       "license": "MIT",
       "links": [
@@ -1483,7 +1483,7 @@
         "https://zenodo.org/api/files/9ea15be9-4f23-4c40-94ca-a6bf0e8a2f77/cover.png"
       ],
       "description": "This trained 2D U-Net model segments the contour, foreground and background of Bacillus Subtilis bacteria imaged with Widefield microscopy images. The current segmentation enables running further watershed segmentation to obtain a unique label for each individual bacteria detected in the image.",
-      "download_count": 2352,
+      "download_count": 2355,
       "id": "10.5281/zenodo.7261974",
       "license": "MIT",
       "links": [
@@ -1528,7 +1528,7 @@
         "https://zenodo.org/api/files/594b8635-b6ad-4507-a944-e23d691a933c/cover.png"
       ],
       "description": "Prediction enhancer for segmenting cell boundaries in EM images.",
-      "download_count": 1418,
+      "download_count": 1421,
       "id": "10.5281/zenodo.6808325",
       "license": "CC-BY-4.0",
       "links": [