| An Image Informatics Pipeline for High Content Screening |
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Presentation: 4B01 Session: Imaging and High Content Screening: Valuable Tools Equally Embraced by Academia & Drug Screeners - Part 1Stephen Wong, Harvard Medical School and Brighman & Women's Hospital Presenting Author: Stephen Wong, Harvard Medical School - USA Multivariable high content cellular analysis is increasingly becoming a powerful tool for drug target validation and compound lead selection. Scientists however resort to slow, manual analysis to extract and analyze information from large amounts of image data. Image informatics has become the rate-limiting factor in realizing the potential of dynamic cellular imaging screens. Commercial vendors have started to address this issue. In collaboration with many Harvard laboratories, we at the Harvard Center for Neurodegeneration and Repair (HCNR), are developing an advanced data processing pipeline, CQ (Cellular image Quantitator) to process, extract, quantitate, archive, and analyze broad range of cytologic descriptors captured in large volumes of microscopy images to aid compound screening and test scientific hypotheses. We will describe computational imaging and modeling methods used in CQ and illustrate its utility with applications such as RNAi whole genome screening, time-lapse live cell imaging, and clathrin particle detection and tracking. |