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Presentation Information     2018-06-08 (13:15)   •  Note: The triple room at Navet, SciLifeLab, BMC.

Speaker Anne Carpenter  (CBA)
Comment Imaging Platform Director, Broad Institute of Harvard and MIT
Type External presentation
Title A picture is worth a million data points: Tackling world health problems via cell morphology
Abstract 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.

Short Bio: Anne Carpenter is director of the Imaging Platform at Broad Institute of MIT and Harvard, where she is also an institute scientist. With a strong background in cell biology, microscopy, and computational biology, her expertise is in developing and applying methods for extracting quantitative information from biological images, especially in a high-throughput manner. Carpenter directs a team of biologists and computer scientists in developing image analysis and data exploration methods and software that are open source and freely available to the public. She and her team developed CellProfiler, the first open-source, high-throughput cell image analysis software. Carpenter is now a pioneer in image-based profiling, the extraction of rich, unbiased information from images for drug discovery, and functional genomics. She collaborates with dozens of biomedical research groups around the world to develop and apply image analysis methods to diverse biological questions. Her team works across many of Broad’s programs and platforms to help identify disease states, therapeutic potential, and gene function from microscopy images. Carpenter is an NIH MIRA investigator, an NSF CAREER awardee, and has received recognition and research funding from numerous other groups including the Human Frontiers in Science program and the Howard Hughes Medical Institute. Carpenter earned her B.S. from Purdue University and her Ph.D. from the University of Illinois at Urbana-Champaign.