Anne Carpenter, Imaging Platform Director, Institute Scientist, Broad Institute of Harvard and MIT, US
Images contain rich information about the state of cells, tissues, and organisms. We work with biomedical researchers around the world to extract quantitative information from images, particularly in high-content screening experiments involving physiologically relevant model systems. As the biological systems and phenotypes of interest become more complex, so are the computational approaches needed to properly extract the information of interest; we continue to bridge the gap between biologists’ needs and the latest in computational science, such as deep learning.
Beyond measuring features that biologists specify, we extract more from images through profilingexperiments using the Cell Painting assay, where thousands of morphological features are measured from each cell’s image. We are working to harvest similarities in these “profiles” for identifying how drugs and genes affect cells, identifying the functional impact of cancer-associated alleles, discovering disease-associated phenotypes, and identifying novel therapeutics. Ultimately, we aim to make perturbations in cell morphology as computable as genomics data.
All novel algorithms and approaches from our laboratory are released as open-source software, including CellProfiler, CellProfiler Analyst, and cytominer.
Carolina Wählby, Centre for Image Analysis, Dept. of Information Technology, and SciLifeLab, Uppsala University, Sweden
Date: June 8, 13:15
Venue: Triple room in Navet, BMC, Uppsala
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