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Cell shapes decode molecular phenotypes in image-based spatial proteomics
Cell morphology, learned from image-based spatial proteomics, is shown to predict molecular phenotypes — bridging single-cell imaging and proteomics.
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U-FISH: a fluorescent spot detector for imaging-based spatial-omics analysis
A universal deep-learning approach for accurate FISH spot detection across imaging-based spatial-omics datasets.
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DL4MicEverywhere: deep learning for microscopy made flexible, shareable and reproducible
A framework that makes deep-learning pipelines for microscopy flexible, shareable, and reproducible across computing environments.
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Macromolecular Condensation Organizes Nucleolar Sub-Phases to Set Up a pH Gradient
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BioImage. IO Chatbot: A Personalized Assistant for BioImage Analysis Augmented by Community Knowledge Base
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Building the next generation of virtual cells to understand cellular biology
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JDLL: A library to run Deep Learning models on Java bioimage informatics platforms
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Moving beyond the desktop: prospects for practical bioimage analysis via the web
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OME-Zarr: a cloud-optimized bioimaging file format with international community support
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An Open-Source Modular Framework for Automated Pipetting and Imaging Applications
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