scispace - formally typeset
B

Bing Shao

Researcher at University of California, San Diego

Publications -  19
Citations -  259

Bing Shao is an academic researcher from University of California, San Diego. The author has contributed to research in topics: Optical tweezers & Sperm motility. The author has an hindex of 8, co-authored 19 publications receiving 237 citations. Previous affiliations of Bing Shao include University of California, Riverside & University of California, Irvine.

Papers
More filters
Journal ArticleDOI

Parallel transport of biological cells using individually addressable VCSEL arrays as optical tweezers

TL;DR: In this article, the use of vertical cavity surface emitting lasers (VCSELs) for optical trapping and active manipulation of live biological cells and microspheres was demonstrated using a 2-2 array of VCSEL arrays.
Journal ArticleDOI

Dynamically adjustable annular laser trapping based on axicons

TL;DR: An annular laser trap based on axicons is designed, simulated with the ray-tracing tool, and implemented and could provide a prototype of a parallel, objective, and quantitative tool for animal fertility and biotropism study.
Journal ArticleDOI

High-throughput sorting and analysis of human sperm with a ring-shaped laser trap.

TL;DR: This is the first demonstration of parallel sperm sorting based on motility with optical trapping technology and the application of this method could be extended to motility and bio-tropism studies of other self-propelled cells, such as algae and bacteria.
Journal ArticleDOI

Manipulation of microspheres and biological cells with multiple agile VCSEL traps

TL;DR: In this paper, a microscope-integrated vertical cavity surface emitting laser (VCSEL) array trapping system capable of independent control, rotation, and batch processing of biological cells is developed and demonstrated.
Journal ArticleDOI

Angular resolved light scattering for discriminating among marine picoplankton: modeling and experimental measurements.

TL;DR: The distinctive scattering patterns of the different species hold promise for an identification system based on ARLS.