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Several Consortium members collaborated to write a review article highlighting applications of image-based profiling in the pharmaceutical pipeline, published today in Nature Reviews Drug Discovery. The article, "Image-based profiling for drug discovery: due for a machine-learning upgrade?", can be...

Massachusetts Governor Charlie Baker announced today during remarks at MassBio’s Digital Health Impact Forum in Boston that the Baker-Polito Administration and the Massachusetts Life Sciences Center (MLSC) awarded $6.7 million in capital funding to nine data-driven, cross-sector projects focused on...

Protein profiling company Nomic announced in a press release today that it is providing access to the company’s nELISA TM platform to the Joint Undertaking in Morphological Profiling-Cell Painting (JUMP-CP) consortium. With this access, Nomic joins the JUMP-CP consortium as a Supporting Partner...

The Broad Institute of MIT and Harvard today announced that the Imaging Platform, together with industry and non-profit partners, has launched a new collaboration to create a massive cell-imaging dataset, displaying more than 1 billion cells responding to over 140,000 small molecules and genetic...

Read the full article "A technique called Cell Painting could speed drug discovery" here.

Genetic Engineering & Biotechnology News today featured Dr. Anne Carpenter and her group at the Broad Institute for their work launching a Cell Imaging Consortium. The consortium includes 12 pharmaceutical and biotechnology companies and received funding through the Massachusetts Life Sciences...

The JUMP-Cell Painting Consortium is alluded to in the Nature Reviews Drug Discovery news item, " Machine learning brings cell imaging promises into focus". The article overviews the entire field of image-based profiling and phenotype discovery, including industry and academic developments.

The newly optimized version 3 of the protocol has been accepted! It is in press at Nature Protocols as Cimini et al. 2023.

Ardigen’s phenAID portal The phenAID JUMP-CP Explorer was created by the Ardigen Data Science and Software Development team to enable easy access and visualization of JUMP-CP data. The web-based application shows a phenotypic and structural representation of the data set colored by clusters. Users...

We are excited to share that the JUMP Cell Painting Datasets now include most data components from all but one of the sources for the principal dataset (cpg0016), covering 116,000 chemical and over 20,000 genetic perturbations (covering ~15,000 genes). The first draft of metadata files are available...