Proceedings Paper
Real-time image processor for detection of rare cells and particles in flow at 37 MHz line scans per second| Format | Member Price | Non-Member Price |
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Paper 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.
Paper Details
Date Published: 22 February 2013
PDF: 10 pages
Proc. SPIE 8587, Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues XI, 858713 (22 February 2013); doi: 10.1117/12.2002709
Published in SPIE Proceedings Vol. 8587:
Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues XI
Daniel L. Farkas; Dan V. Nicolau; Robert C. Leif, Editor(s)
PDF: 10 pages
Proc. SPIE 8587, Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues XI, 858713 (22 February 2013); doi: 10.1117/12.2002709
Show Author Affiliations
A. Ayazi, Univ. of California, Los Angeles (United States)
K. Goda, Univ. of California, Los Angeles (United States)
California NanoSystems Institute (United States)
J. Sadasivam, Univ. of California, Los Angeles (United States)
C. K. Lonappan, Univ. of California, Los Angeles (United States)
D. R. Gossett, Univ. of California, Los Angeles (United States)
California NanoSystems Institute (United States)
Elodie Sollier, Univ. of California, Los Angeles (United States)
A. Fard, Univ. of California, Los Angeles (United States)
California NanoSystems Institute (United States)
S. C. Hur, Univ. of California, Los Angeles (United States)
K. Goda, Univ. of California, Los Angeles (United States)
California NanoSystems Institute (United States)
J. Sadasivam, Univ. of California, Los Angeles (United States)
C. K. Lonappan, Univ. of California, Los Angeles (United States)
D. R. Gossett, Univ. of California, Los Angeles (United States)
California NanoSystems Institute (United States)
Elodie Sollier, Univ. of California, Los Angeles (United States)
A. Fard, Univ. of California, Los Angeles (United States)
California NanoSystems Institute (United States)
S. C. Hur, Univ. of California, Los Angeles (United States)
S. H. Kim, Univ. of California, Los Angeles (United States)
J. Adam, Univ. of California, Los Angeles (United States)
C. Murray, Univ. of California, Los Angeles (United States)
C. Wang, Univ. of California, Los Angeles (United States)
N. Brackbill, Univ. of California, Los Angeles (United States)
D. Di Carlo, California NanoSystems Institute (United States)
Univ. of California, Los Angeles (United States)
Bahram Jalali, Univ. of California, Los Angeles (United States)
California NanoSystems Institute
J. Adam, Univ. of California, Los Angeles (United States)
C. Murray, Univ. of California, Los Angeles (United States)
C. Wang, Univ. of California, Los Angeles (United States)
N. Brackbill, Univ. of California, Los Angeles (United States)
D. Di Carlo, California NanoSystems Institute (United States)
Univ. of California, Los Angeles (United States)
Bahram Jalali, Univ. of California, Los Angeles (United States)
California NanoSystems Institute
Published in SPIE Proceedings Vol. 8587:
Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues XI
Daniel L. Farkas; Dan V. Nicolau; Robert C. Leif, Editor(s)
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