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Proceedings Paper

Multispectral cytometry of single bio-particles using a 32-channel detector
Author(s): J. Paul Robinson; Bartek Rajwa; Gerald Gregori; James Jones; Valeri Patsekin
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Paper Abstract

Detecting biological particles and subsequently identifying them in a very short period of time is highly desirable, but a very difficult task. There are several pathways for developing rapid detection systems. For example, one can reduce sample size to a very small volume, and amplify cellular components by PCR technology with a view to identifying antigen-specific molecules. Alternatively, antibody-based assays allow for detection and identification of a variety of well-characterized pathogens. The system we propose utilizes flow cytometry technology to rapidly detect spectral fingerprints or organisms. However, the current limit for simultaneously detectable fluorescence signals in flow cytometry is around 12-15. Making these measurements is very complex and the necessity for advanced spectral overlap calculations creates a number of difficult problems to solve in a short period of time. Next-generation instruments can either increase the number of detectors or modify the principles of collection. If the detector system were simplified, the overall cost and complexity of single-cell analytical systems might be reduced. This requires changes in both hardware and software that allow for the analysis of 30 or more spectral signals. Further, analysis of complex data sets requires some completely new approaches, particularly in the area of multispectral analysis. This presentation describes the key components and principles involved in building a next-generation instrument which can collect simultaneously 32 bands of fluorescence from a particle in less than 5 microseconds. This would allow the analysis of several thousand bioparticles per second. The flow cytometry system based on our new detector would be designed to be portable and low cost.

Paper Details

Date Published: 1 April 2005
PDF: 7 pages
Proc. SPIE 5692, Advanced Biomedical and Clinical Diagnostic Systems III, (1 April 2005); doi: 10.1117/12.591365
Show Author Affiliations
J. Paul Robinson, Purdue Univ. (United States)
Bartek Rajwa, Purdue Univ. (United States)
Gerald Gregori, Purdue Univ. (United States)
James Jones, Purdue Univ. (United States)
Valeri Patsekin, Purdue Univ. (United States)


Published in SPIE Proceedings Vol. 5692:
Advanced Biomedical and Clinical Diagnostic Systems III
Tuan Vo-Dinh; Warren S. Grundfest; David A. Benaron; Gerald E. Cohn, Editor(s)

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