research overview
- Dr. Tay's research is focused on the use and development of computational tools to analyze microscope images of biological cells. He has developed a number of toolboxes to identify cells in time-lapse microscope images, identifying and tracking cell division events, tracking subcellular protein complexes, as well as analyzing and visualizing the resulting complex datasets. His current research focuses on studying sub-cellular processes in single cells, including studying photodamage and repair in cyanobacteria, and phage infection of bacteria using machine-learning. Previously, he worked on projects to study the role of zinc on mammalian cell division, quantifying the structures responsible for cellular movement, how the shape of the nucleus affects the speed of recruitment of repair proteins, and studying the role of mechanical forces between neighboring cells on the regulation of photosynthesis.