Webinaires

3 nov. 2021
14 h 00 EDT / 19 h 00 GMT / 20 h 00 CET

In the first half of the webinar, we will focus on acquiring and processing good imaging data sets. This will include a discussion of recent advances in hardware and software technology that are making automated imaging workflows more accessible to researchers. The expanding scope of possible imaging applications (3D, organs-on-chips, cell paint, etc.) and turn-key automation options bring opportunities for nearly any research group to improve their workflow. We will also discuss the important role that AI plays in this exciting field.

In the second half of the webinar, we focus on maximizing imaging data sets using advanced analysis methods. Dr. Chandrasekaran (Broad Institute) will discuss how image-based profiling can transform drug discovery. Image-based profiling can be used to mine for relevant patterns, often revealing unexpected biological activity that is useful for many steps in the drug discovery process. Such applications include identifying disease-associated, screen-able phenotypes, understanding disease mechanisms and predicting a drug's activity or mechanism of action. Several of these applications have been recently validated and have moved into production mode within academia and the pharmaceutical industry. Additionally, novel computational technologies such as deep learning that better leverage image-based information hold promise for accelerating drug discovery.

This event will be hosted by the Nikon BioImaging Lab @ SmartLabs. Located in Cambridge, Massachusetts, the Nikon BioImaging Lab is a state-of-the-art imaging facility offering contract research services for cell-based assays.

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