Opportunities in Computational Imaging for Biomicroscopy
Prof. Michael Leibling, Idap Research Institute

Seminar • 06 December 2016 • BM 4 233

Abstract
Image-based characterization plays a central role when studying the mechanisms underlying dynamic biological systems. Despite tremendous advances in microscopy hardware, many live samples remain difficult to observe with of-the-shelf instruments, either because they are too dim or because they move too fast. In some cases, combining custom hardware arrangements or protocols with adapted image post-processing allows overcoming the physical limitations imposed by the sample or the instrument. I will describe several such end-to-end imaging methods that we developed in my lab, ranging from cardiac time-lapse imaging to temporal super-resolution. I will then present an ongoing effort to set up a platform for reproducible acquisition, processing, and sharing of dynamic, multi-modal data at Idiap.