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Data is released publicly! Find the data and details at our JUMP Cell Painting Datasets landing page on Github. If you'd like to take a look at the data interactively, Ardigen provides the free, public JUMP-CP Data Explorer to search for similarities between various phenotypes and the corresponding...

Frequently Asked Questions (FAQ) Is it too late to join? When will the data be publicly available? Is it too late to join? The Consortium has finished its work optimizing, producing data, and publicly releasing it. Join our email list (below) to hear news on options to join the next phase of the...

CellProfiler-Analyst requires a 64bit-Java 8 Java Development Kit (JDK), a special version of Java that allows CPA to open microscope images from many different vendors using the BioFormats library. You will need to install this software and configure your computer to run it properly. Step 0: Check...

The CellProfiler project team is based in the Cimini Lab at the Broad Institute of MIT and Harvard. The project was started in 2003 by Anne E. Carpenter and Thouis (Ray) Jones in the Sabatini Laboratory (Whitehead Institute for Biomedical Research) and Golland laboratory (MIT’s CSAIL) and is...

Accession number BBBC001 · 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. For instance, Moffat et al. ( Cell, 2006) screened a set of about 43,000 such...

Accession number BBBC004· Version 1 Example images Image Foreground Biological application One of the principal challenges in counting or segmenting nuclei is dealing with clustered nuclei. To help assess algorithms' performance in this regard, this synthetic image set consists of five subsets with...

Accession number BBBC009 · Version 1 Example images DIC image Ground truth Images This image set consists of five differential interference contrast (DIC) images of red bood cells. BBBC009_v1_images.zip (1.2 MB) Ground truth BBBC009_v1_outlines.zip (86 kB) There are two options when using this data...

Accession number BBBC027 · Version 1 Example images 3D image 3D foreground Biological application One of the principal challenges in counting or segmenting nuclei is dealing with clustered nuclei. To help assess algorithms' performance in this regard, this synthetic image set is provided in two...

Accession number BBBC028 · Version 1 Example images DIC image Ground truth Images This dataset includes 60 Differential Interference Contrast (DIC) images of 6 different shapes, such as triangle, circle and multi-height objects. The shapes were made by two-photon polymerization technique. The images...