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

Publikation: Kapitel i bog/rapport/konference-proceedingKonferencebidrag i proceedingsForskningpeer review

Abstrakt

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.

OriginalsprogEngelsk
TitelImaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues XI
Vol/bind8587
Publikationsdato27. maj 2013
Artikelnummer858713
ISBN (Trykt)9780819493569
DOI
StatusUdgivet - 27. maj 2013
BegivenhedImaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues XI - San Francisco, CA, USA
Varighed: 2. feb. 20135. feb. 2013

Konference

KonferenceImaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues XI
LandUSA
BySan Francisco, CA
Periode02/02/201305/02/2013
SponsorThe Society of Photo-Optical Instrumentation Engineers (SPIE)

Fingeraftryk Dyk ned i forskningsemnerne om 'Real-time image processor for detection of rare cells and particles in flow at 37 MHz line scans per second'. Sammen danner de et unikt fingeraftryk.

Citationsformater