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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...

COBA's Anne Carpenter today was featured in a Science magazine article on artificial intelligence and its revolutionary role in the field of microscopy. Read the full article here.

Congrats to Dr. Moran Dvela Levitt, Dr. Jillian Shaw, and Dr. Anna Greka on their newly published article in Cell “A Rare Kidney Disease To Cure Them All? Towards Mechanism-Based Therapies for Proteinopathies.”

Protein Society journal Protein Science published a manuscript from co-PI Kevin Eliceiri's group highlighting the ImageJ codebase and community, including a review of the core features of the ImageJ ecosystem and how ImageJ has responded to imaging technology advancements with new plugins and tools...

Massively parallel base editing to map variant effects in human hematopoiesis. Martin-Rufino JD, Castano N, Pang M, Grody EI, Joubran S, Caulier A, Wahlster L, Li T, Qiu X, Riera-Escandell AM, Newby GA, Al'Khafaji A, Chaudhary S, Black S, Weng C, Munson G, Liu DR, Wlodarski MW, Sims K, Oakley JH...

Science Daily reports on our team's finding on visual system. The work was supported by Japan Brain/MINDS project, and in collaboration with Dr. Paul Martin's group at University of Sydney.

The Center for Open Bioimage Analysis was noted in a Technology Feature published today by Nature, particularly the Center's priority of sharing bioimaging data sets and deep-learning models. The piece, " Deep learning takes on tumours" by Esther Landhuis, also describes co-founder Anne Carpenter's...

The Center for Open Bioimage Analysis is now on YouTube! Subscribe to be the first to see new COBA workshops and trainings. While you're there, don't forget to check out our playlists for helpful videos from CellProfiler, ImageJ, NEUBIAS, iBiology, and more!

COBA's mission is to serve the biology community’s growing need for sophisticated software for light microscopy image analysis. We will do this in two main ways: In collaboration with biological partner labs we will create new tools and improve existing tools to make new analyses possible and...