Real-time image processor for detection of rare cells and particles in flow at 37 MHz line scans per second

Farkas, Daniel L. and Ayazi, Ali and Goda, Keisuke and Sadasivam, Jagannath and Lonappan, Cejo K. and Gossett, Daniel R. and Sollier, Elodie and Fard, Ali M. and Hur, Soojung Claire and Kim, Sujin and Adam, Jost and Murray, Coleman and Wang, Chao and Brackbill, Nora and Di Carlo, Dino and Jalali, Bahram and Nicolau, Dan V. and Leif, Robert C. (2013) Real-time image processor for detection of rare cells and particles in flow at 37 MHz line scans per second. In: Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues XI. SPIE, Bellingham, Washington, p. 858713. ISBN 978-0-8194-9356-9. (doi:10.1117/12.2002709) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:35767)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided.
Official URL: http://dx.doi.org/10.1117/12.2002709

Abstract

We describe a real-time image processor that has enabled a new automated flow through microscope to screen cells in flow at 100,000 cells/s and a record false positive rate of one in a million. This unit is integrated with an ultrafast optical imaging modality known as serial time-encoded amplified microscopy (STEAM) for blur-free imaging of particles in high-speed flow. We show real-time image-based identification and screening of budding yeast cells and rare breast cancer cells in blood. The system generates E-slides (an electronic version of glass slides) on which particles of interest are digitally analyzed.

Item Type:	Book section
DOI/Identification number:	10.1117/12.2002709
Uncontrolled keywords:	image processing; particles; blood; statistical analysis; yeast; cameras; field programmable gate arrays
Subjects:	T Technology > TK Electrical engineering. Electronics. Nuclear engineering
Divisions:	Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User:	P.S.P. Yapp
Date Deposited:	29 Oct 2013 15:26 UTC
Last Modified:	16 Nov 2021 10:12 UTC
Resource URI:	https://kar.kent.ac.uk/id/eprint/35767 (The current URI for this page, for reference purposes)

University of Kent Author Information

Wang, Chao.

Creator's ORCID:	https://orcid.org/0000-0002-0454-8079
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