#cellpose — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #cellpose, aggregated by home.social.
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Just shipped v0.1.0 of CellSeg — an open-source Android app that runs Cellpose cell segmentation on-device
Free, MIT-licensed, no ads, no tracking. ~14 MB cyto3 ONNX model, runs fully offline after first download. Optional Cellpose-SAM cloud fallback via Hugging Face for harder cases
Written up the launch with the architecture, the licensing chapter, and an honest list of what v0.1.0 isn't yet:
https://kemal.yaylali.uk/cellseg-v0-1-0-is-out/
#bioinformatics #microscopy #cellpose #android #buildinpublic #opensource
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Just shipped v0.1.0 of CellSeg — an open-source Android app that runs Cellpose cell segmentation on-device
Free, MIT-licensed, no ads, no tracking. ~14 MB cyto3 ONNX model, runs fully offline after first download. Optional Cellpose-SAM cloud fallback via Hugging Face for harder cases
Written up the launch with the architecture, the licensing chapter, and an honest list of what v0.1.0 isn't yet:
https://kemal.yaylali.uk/cellseg-v0-1-0-is-out/
#bioinformatics #microscopy #cellpose #android #buildinpublic #opensource
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Just shipped v0.1.0 of CellSeg — an open-source Android app that runs Cellpose cell segmentation on-device
Free, MIT-licensed, no ads, no tracking. ~14 MB cyto3 ONNX model, runs fully offline after first download. Optional Cellpose-SAM cloud fallback via Hugging Face for harder cases
Written up the launch with the architecture, the licensing chapter, and an honest list of what v0.1.0 isn't yet:
https://kemal.yaylali.uk/cellseg-v0-1-0-is-out/
#bioinformatics #microscopy #cellpose #android #buildinpublic #opensource
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Just shipped v0.1.0 of CellSeg — an open-source Android app that runs Cellpose cell segmentation on-device
Free, MIT-licensed, no ads, no tracking. ~14 MB cyto3 ONNX model, runs fully offline after first download. Optional Cellpose-SAM cloud fallback via Hugging Face for harder cases
Written up the launch with the architecture, the licensing chapter, and an honest list of what v0.1.0 isn't yet:
https://kemal.yaylali.uk/cellseg-v0-1-0-is-out/
#bioinformatics #microscopy #cellpose #android #buildinpublic #opensource
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Just shipped v0.1.0 of CellSeg — an open-source Android app that runs Cellpose cell segmentation on-device
Free, MIT-licensed, no ads, no tracking. ~14 MB cyto3 ONNX model, runs fully offline after first download. Optional Cellpose-SAM cloud fallback via Hugging Face for harder cases
Written up the launch with the architecture, the licensing chapter, and an honest list of what v0.1.0 isn't yet:
https://kemal.yaylali.uk/cellseg-v0-1-0-is-out/
#bioinformatics #microscopy #cellpose #android #buildinpublic #opensource
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Tried the same with a more realistic 3D stack from the #ImageJ sample library.#Cellpose runs fast and segments very well out of the box.#CellSeg3D takes considerably longer and seems to segment decently, but I couldn’t get a proper instance #segmentation in the post-processing step (which is recommended as part of its workflow). However, #CellSeg3D looks very promising — just needs some more time and parameter exploration, I guess.
I’d recommend giving it a try 👌
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✍️ New in #eLife: #CellSeg3D introduces #WNet3D, a self-supervised 3D #segmentation method for #microscopy data — no labels needed. Claims to outperform #Cellpose/#StarDist on 4 datasets. Includes #opensource plugin (#Napari) + full 3D annotated #cortex dataset. Will test it later.