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Human kidney cortex cells

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Accession number BBBC051 · Version 1 Example images Biological application The dataset was designed to train a classification algorithm to correctly identify cell types in the human kidney cortex. Images Confocal single channel images of DAPI fluorescence cropped from tissue sections. Images...

Shantanu Singh

Person: Principal Investigator, Senior Group Leader
I lead the image-based profiling team. We develop machine learning and statistical methods to create fingerprints of genes, chemicals, and diseases from microscopy images of cells.

Sean P Moran, Ph.D.

Person: Research Scientist II
Sean Moran is a neuropharmacologist with a strong passion for translational neuroscience research who earned his PhD from Vanderbilt University under the mentorship of P. Jeffrey Conn. During his graduate training at the Vanderbilt Center for Neuroscience Drug Discovery, Sean utilized molecular...

What We Do

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Through the collaborative development and dissemination of open source image analysis software, as well as training events and resources, the Center will empower thousands of researchers to apply advanced analytics in innovative ways to address new experimental areas.

Peter Tsvetkov

Person: Associate Member Broad Institute of MIT and Harvard; Principal Investigator BIDMC

Collaborate

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Need help with image analysis? The first step is to post in the Scientific Community Image Forum under the COBA tag. The COBA team and members of the community can help answer questions, so this is a great resource for most of your imaging analysis problems If posting there doesn't answer your...

More info

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Frequently Asked Questions (FAQ) Is it too late to join? Yes, the Consortium has finished its work optimizing, producing data, and publicly releasing it. There are two new Consortia to consider: OASIS (‘Omics for Assessing Signatures for Integrated Safety): Together with HESI, we aim to test Cell...