Back to Search Start Over

Single-frame label-free cell tomography at speed of more than 10,000 volumes per second

Authors :
Ge, Baoliang
He, Yanping
Deng, Mo
Rahman, Md Habibur
Wang, Yijin
Wu, Ziling
Wong, Chung Hong N.
Chan, Michael K.
Ho, Yi-Ping
Duan, Liting
Yaqoob, Zahid
So, Peter T. C.
Barbastathis, George
Zhou, Renjie
Publication Year :
2022

Abstract

Three-dimensional (3D) image cytometers may significantly improve the cell analysis accuracy to facilitate biological discoveries and clinical diagnosis, but their development is curbed by the low imaging throughput. Here we report SIngle-frame LAbel-free Cell Tomography (SILACT) with diffraction-limited resolution and unprecedented imaging speed of over 10,000 volumes/second. SILACT is built on a unique interferometric microscope with angle-multiplexing illumination and a pre-trained physics-incorporating Deep Neural Network for efficient 3D Refractive Index (RI) reconstruction, from which 3D morphological and biophysical parameters of cells are extracted. With microfluidics and a high-speed camera, SILACT is capable of imaging over 20,000 cells/second and distinguishing different cell species during rapid measurements of large cell quantities, as well as visualizing shear-induced 3D transient deformation of red blood cells on a sub-millisecond scale.<br />Comment: Baoliang Ge, Yanping He, Mo Deng contributed equally to this work

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2202.03627
Document Type :
Working Paper