About This Webinar
Pairing up the capabilities of optical microscopy and computer vision is a common strategy to enhance the performance of a broad spectrum of biological and biomedical screening applications. The most common motivation behind this integration is to generate characteristic fingerprint profiles of cell morphology in collected samples that could underpin the cell states or functions but are typically obscured through visual inspection or even in the molecular assay. Within the constraints of current technologies, it has not yet been possible to record, integrate, and analyze all relevant cell morphological data.
In this talk, Tsia introduces how the synergism between ultrafast imaging, microfluidics, and deep learning allows researchers to overcome some of these current limitations. Specifically, he presents a few high-throughput, deep learning-powered imaging techniques and analytical cytometry pipelines developed in the laboratory. These platforms offer the opportunity to significantly scale up the single-cell biophysical and mechanical phenotyping throughput beyond millions of cells per run to enrich the phenotyping content by integrating with the biochemical cell-based assay in a single platform. These techniques are now successfully employed in rare cancer cell detection in mouse blood, cancer, immune-cell sub-typing, targeted-drug sensitivity prediction, and more emerging applications.
*** This presentation premiered during the
2023 BioPhotonics Conference. For more information on Photonics Media conferences and summits, visit
events.photonics.com.
About the presenter
Kevin Tsia is a professor in the department of electrical and electronic engineering and the director of the biomedical engineering program at The University of Hong Kong. His research interest covers a broad range of subject matters including ultra-fast optical imaging for imaging flow cytometry and high-speed in-vivo brain imaging as well as bioinformatics approaches for single-cell analysis.
He is currently the HK Research Grants Council (RGC) Research Fellow (2020). He received the Early Career Award 2012-2013 by RGC in Hong Kong, the Outstanding Young Research Award 2015 at HKU, as well as 14th Chinese Science and Technology Award for Young Scientists in 2016. Tsia holds 11 granted and pending US patents on ultrafast optical imaging technologies. He is a co-founder of a start-up company commercializing high-speed microscopy technology for cancer screening and treatment monitoring applications.