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

A. Ayazi; K. Goda; J. Sadasivam; C. K. Lonappan; D. R. Gossett; Elodie Sollier; A. Fard; S. C. Hur; S. H. Kim; J. Adam; C. Murray; C. Wang; N. Brackbill; D. Di Carlo; Bahram Jalali

doi:10.1117/12.2002709

22 February 2013 Real-time image processor for detection of rare cells and particles in flow at 37 MHz line scans per second

A. Ayazi, K. Goda, J. Sadasivam, C. K. Lonappan, D. R. Gossett, Elodie Sollier, A. Fard, S. C. Hur, S. H. Kim, J. Adam, C. Murray, C. Wang, N. Brackbill, D. Di Carlo, Bahram Jalali

Author Affiliations +

Proceedings Volume 8587, Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues XI; 858713 (2013) https://doi.org/10.1117/12.2002709
Event: SPIE BiOS, 2013, San Francisco, California, United States

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.

Citation Download Citation

A. Ayazi, K. Goda, J. Sadasivam, C. K. Lonappan, D. R. Gossett, Elodie Sollier, A. Fard, S. C. Hur, S. H. Kim, J. Adam, C. Murray, C. Wang, N. Brackbill, D. Di Carlo, and Bahram Jalali "Real-time image processor for detection of rare cells and particles in flow at 37 MHz line scans per second", Proc. SPIE 8587, Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues XI, 858713 (22 February 2013); https://doi.org/10.1117/12.2002709

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