Skill UI

Histolab streamlines whole-slide microscopy by automating tissue detection, tile extraction, and stain normalization for H&E scans, making it ideal for lightweight dataset prep and quick tile-based analysis.

Manage microscopy data with the OMERO Python API: access projects/datasets/images, retrieve and analyze pixel data, handle ROIs and annotations, store results in tables, and automate batch workflows for high-content screening.

Securely inspect and automate microscopy data workflows against OMERO.server using omero-py, BlitzGateway, CLI, tables, annotations, ROIs, rendering, and documented APIs. Support scoped inventory, metadata export, and reviewed write operations.

This skill provides a comprehensive guide for authors submitting papers in biomedical imaging algorithms, microscopy, and medical imaging to top-tier conferences like ISBI. It helps authors strategically frame their work, assess scope fit, ensure strong evidence, and understand the unique requirements of the venue, ensuring the manuscript is optimized for conference review standards.

Runs reproducible CellProfiler pipelines for nuclear segmentation, cell counting, and per-object fluorescence measurements on 2D microscopy TIFF images, including batch execution, overlays, and QC.