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- 2012 AIChE Annual Meeting
- Food, Pharmaceutical & Bioengineering Division
- High Throughput Technologies
- (425b) High Throughput Genetic Screens of C. Elegans with Microfluidics and Computer Vision
Here, we use computer vision algorithms to objectively quantify relevant information from synapses in C. elegans from a mutagenized animal population and thus, identify mutants with subtle phenotypes. Additionally, we incorporate microfluidic devices as a platform for automated worm imaging, handling and sorting. Computer algorithms allow the identification of worms which are in the correct orientation and are suitable for imaging, as well as those which have a slightly altered phenotype and are sorted as mutants. Integrating microfluidics and computer vision we have generated a platform for automated high-throughput imaging and sorting of thousands of worms based on quantitative synapse-related features. This method enables imaging, phenotyping and sorting about 100 times faster than manual handling. Not only does this method allow performing genetic screens in a simple, automated and fast manner, but it also provides a platform for discovery of mutants which would otherwise be overlooked in a typical manual screen.