Seven-channel iFISH microscopy of human cell nuclei from IDR study idr0123 (Mota et al.): DAPI plus six spectrally distinct DNA FISH probes (AF488, AT542, AF594, AT647N, AF700, AF790) marking loci along chromosome 1, imaged at 1024x1024, 16-bit, 0.13 um/px. Each file is one field with one page per channel (maximum-intensity Z projection of the original 61-slice stack), so every fluorophore can be shown, hidden, and window-leveled independently in the browser. License: CC BY 4.0. Source and original Z-stacks: https://idr.openmicroscopy.org/study/idr0123/

Astrocyte detection dataset from rat brain tissue (BBBC042, Broad Bioimage Benchmark Collection). 1,117 annotated brightfield microscopy images (990x708) with roughly 15,000 astrocytes labeled as bounding boxes, from the deep-learning astrocyte detection study by Suleymanova et al. License: CC0 1.0 (public domain). Source: https://bbbc.broadinstitute.org/BBBC042. Please cite: Suleymanova I. et al., A deep convolutional neural network approach for astrocyte detection. Scientific Reports 8:12878 (2018), doi 10.1038/s41598-018-31284-x.

Nucleus segmentation dataset of U2OS cells from a chemical screen (BBBC039v1, Broad Bioimage Benchmark Collection). 200 fluorescence microscopy fields (520x696, 16-bit TIFF, Hoechst-stained nuclei) spanning 200 bioactive-compound treatments, with 19,379 individually segmented nucleus instances decoded from the official per-pixel class masks (interior/boundary) and converted to polygon annotations (3 fields have no annotated nuclei). Includes the official train (100) / validation (50) / test (50) split. License: CC0 1.0 (public domain). Source: https://bbbc.broadinstitute.org/BBBC039. Please cite: Caicedo et al. 2018, image set BBBC039v1, available from the Broad Bioimage Benchmark Collection [Ljosa et al., Nature Methods, 2012].

Nuclei segmentation dataset from the 2018 Data Science Bowl (BBBC038v1, Broad Bioimage Benchmark Collection). 670 microscopy images with 29,442 individually segmented nuclei as polygon annotations, converted from the official per-nucleus masks. Spans fluorescence and brightfield/histology imagery across multiple organisms and staining protocols. License: CC0 1.0 (public domain). Source: https://bbbc.broadinstitute.org/BBBC038. Please cite: Caicedo et al., Nucleus segmentation across imaging experiments: the 2018 Data Science Bowl. Nature Methods 16, 1247-1253 (2019).

The articles focus on the intersection of data analysis and society.

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