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Accession number BBBC044 · Version 1 Example images Description of the biological application These images are of mouse hippocampal presynaptic terminals and the goal is to extract presynaptic terminals' densities. The presented seet of images were being used to validate the accuracy of automatic...

Accession number BBBC045 · Version 1 Example images Description of the biological application This dataset is useful for measuring differential White Blood Cell Count. White blood cells play an important role in the immune system to protect against infections and diseases. There are 5 different...

Accession number BBBC017 · Version 1 Example image Biological application These images are of human HT29 colon cancer cells, a cell line that has been widely used for the study of many normal and neoplastic processes. Moffat et al. (Cell, 2006) used the HT29 cell line to screen 4,903 shRNAi...

CellProfiler is free, open-source software for quantitative analysis of biological images. No prior experience in programming or computer vision is required – this page is intended to help you get up and running. The quickest way to get up and running with CellProfiler is to: Download CellProfiler...

Previous Examples Previous examples (prior to 4.0) can be found on the previous examples page, but we discourage their use because they are now outdated.

To reasonably compare, or benchmark, algorithms for image analysis, researchers must agree on a common reference point—the image set's "correct" answer—and see how closely each algorithm matches it. We adopt the common term ground truth for this reference point even though it may be questionable in...

Accession number BBBC002 · Version 1 Example image Biological application Five different samples of Drosophila melanogaster Kc167 cells were stained with Hoechst 33342, a DNA stain. The last sample (labeled nodsRNA) is of wild-type cells. Each of the other four samples (labeled 48, 340, Anillin, and...

Accession number BBBC006 · Version 1 Example images Ground truth: in focus Out of focus Ground truth: foreground Biological application Since robust foreground/background separation and segmentation of cellular objects (i.e., identification of which pixels below to which objects) strongly depends on...