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High-throughput single-microparticle imaging flow analyzer

Goda, Keisuke, Ayazi, Ali, Gossett, Daniel R., Sadasivam, Jagannath, Lonappan, Cejo K., Sollier, Elodie, Fard, Ali M., Hur, Soojung Claire, Adam, Jost, Murray, Coleman, and others. (2012) High-throughput single-microparticle imaging flow analyzer. Proceedings of the National Academy of Sciences, 109 (29). pp. 11630-11635. ISSN 0027-8424. (doi:10.1073/pnas.1204718109) (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:35553)

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.
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Optical microscopy is one of the most widely used diagnostic methods in scientific, industrial, and biomedical applications. However, while useful for detailed examination of a small number (< 10,000) of microscopic entities, conventional optical microscopy is incapable of statistically relevant screening of large populations (> 100,000,000) with high precision due to its low throughput and limited digital memory size. We present an automated flow-through single-particle optical microscope that overcomes this limitation by performing sensitive blur-free image acquisition and nonstop real-time image-recording and classification of microparticles during high-speed flow. This is made possible by integrating ultrafast optical imaging technology, self-focusing microfluidic technology, optoelectronic communication technology, and information technology. To show the system’s utility, we demonstrate high-throughput image-based screening of budding yeast and rare breast cancer cells in blood with an unprecedented throughput of 100,000 particles/s and a record false positive rate of one in a million.

Item Type: Article
DOI/Identification number: 10.1073/pnas.1204718109
Uncontrolled keywords: photonics; microfluidics; instrumentation; high-throughput screening; medical diagnostics
Subjects: T Technology
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User: Tina Thompson
Date Deposited: 21 Oct 2013 11:26 UTC
Last Modified: 16 Nov 2021 10:12 UTC
Resource URI: (The current URI for this page, for reference purposes)
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