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

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-li...

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Bibliographic Details
Published inarXiv.org
Main Authors Ge, Baoliang, He, Yanping, Deng, Mo, Rahman, Md Habibur, Wang, Yijin, Wu, Ziling, Wong, Chung Hong N, Chan, Michael K, Yi-Ping, Ho, Duan, Liting, Yaqoob, Zahid, So, Peter T C, Barbastathis, George, Zhou, Renjie
Format Paper
LanguageEnglish
Published Ithaca Cornell University Library, arXiv.org 08.02.2022
Subjects
Artificial neural networks
Erythrocytes
High speed cameras
Image reconstruction
Medical imaging
Microfluidics
Multiplexing
Refractivity
Tomography
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Summary: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.
ISSN:2331-8422