Abstract

On-the-Fly Optofluidic Imaging Platforms For Deep and Large-Scale Single-Cell Analysis

Kevin Tsia, Associate Professor, Department of Electrical & Electronic Engineering, The University of Hong Kong

This talk will introduce our recently developed ultrafast optofluidic imaging techniques (multi-ATOM and FACED imaging) that practically allow ultralarge-scale single-cell imaging (>millions of adherent or suspended cells) in real-time with the unprecedented combination of imaging resolution and speed. These techniques generate multiple single-cell image contrasts from which not only deep single-cell biophysical and biomechanical phenotypic profiles can be obtained (based on quantitative phase and other label-free contrasts), but also biochemical signatures of single-cells (based on fluorescence contrast). Combined with high-performance computing hardware and high-throughput computational methods (particularly machine learning), their utilities in large-scale cell-based assays using cell-lines, in-vivo mouse models, as well as primary human cells (e.g. for circulating tumor cell detection, routine blood analysis, drug screen) will be discussed.