Quantifying C. elegans
The worm C. elegans can be robotically prepared and imaged and is an effective model to probe a variety of biological questions that require whole animals rather than isolated cells. We have developed sorely needed C. elegans analysis algorithms and validated them in specific large-scale experiments to identify regulators of fat metabolism and pathogen infection.
In co-cultured cell systems, two or more cell types are grown together in order to maintain more native physiological functions, enabling experiments that test genetic and chemical perturbations in a more realistic environment. We have developed image analysis approaches to extract information from fluorescence microscopy images of these cell systems, enabling experiments in liver regeneration and hepatotoxicity [NSF CAREER project page].
Quantifying dynamic phenotypes
Many biological questions can only be investigated by collecting time-lapse movies. We have analyzed these images to identify, for example, novel cell cycle landmarks and motor protein regulators. We have also integrated this data with flow cytometry data to quantify unusual cell cycle outcomes.