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@FrancisCrickInstitute @RMS-DAIM @CrickDataChallenge @CBIAS-symposium @UK-BIAS

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djpbarry/README.md

Dave Barry

AI & computational methods for life sciences · The Francis Crick Institute

I lead the image analysis team at the Crick, building the computational methods that help 100+ research groups turn complex biomedical data into quantitative insight - primarily imaging, increasingly spatial omics. I also lead UK-BIAS, a national virtual bioimage-analysis service pooling analysts across ten UK institutions.

Most of what's here is open-source tooling for quantitative bioimage analysis, plus training and reproducibility material. Built to be FAIR, open, and actually usable by experimental biologists.

Website · ORCID · LinkedIn

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  1. FrancisCrickInstitute/Enhancing-Reproducibility FrancisCrickInstitute/Enhancing-Reproducibility Public

    Companion notebooks for our paper on reproducible statistics in bioimage analysis — runs in-browser via Binder

    Jupyter Notebook 4

  2. FrancisCrickInstitute/Image-Analysis-Group FrancisCrickInstitute/Image-Analysis-Group Public

    We are the Image Analysis Group at the Francis Crick Institute.

    Jupyter Notebook 4 2

  3. FrancisCrickInstitute/CellSurvey FrancisCrickInstitute/CellSurvey Public

    GPU-accelerated Python pipeline for image-based spatial omics, built on Sopa and SpatialData

    Python

  4. UK-BIAS/UK-BIAS UK-BIAS/UK-BIAS Public

    A virtual bioimage analysis service spanning ten UK institutions, part of the Euro-BioImaging UK Node

    HTML 1 5

  5. FrancisCrickInstitute/Data-Prospector FrancisCrickInstitute/Data-Prospector Public

    AI pipeline that explores a dataset from many angles at once - including the ideas that turn out wrong

    Python