Accession number BBBC051 · Version 1
The dataset was designed to train a classification algorithm to correctly identify cell types in the human kidney cortex.
Confocal single channel images of DAPI fluorescence cropped from tissue sections. Images datasets are 1) slices, 2) projections and 3) volumes. Additional details on generation is the subject of an upcoming publication.
Data is organized by 3 tissue samples. Subfolders contain the relevant images for each cell class in the corresponding tissue. Each cell class has images containing image volumes or projections.
Published results using this image set
Woloshuk, A, Khochare, S, Almulhim, AF, et al. In Situ Classification of Cell Types in Human Kidney Tissue Using 3D Nuclear Staining. Cytometry. 2020; 1– 15. https://doi.org/10.1002/cyto.a.24274
For more information
The image set was generated by the Ashkar Lab at Indiana University School of Medicine, Indianapolis, Indiana. Please contact Andre Woloshuk regarding this dataset.
"We used image set BBBC051, available from the Broad Bioimage Benchmark Collection [Ljosa et al., Nature Methods, 2012]."
The images and ground truth are licensed under a Creative Commons Attribution 3.0 Unported License (Commercial use allowed) by Andre Woloshuk.