Paper
1 April 2005 Multispectral cytometry of single bio-particles using a 32-channel detector
J. Paul Robinson, Bartek Rajwa, Gerald Gregori, James Jones, Valeri Patsekin
Author Affiliations +
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.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
J. Paul Robinson, Bartek Rajwa, Gerald Gregori, James Jones, and Valeri Patsekin "Multispectral cytometry of single bio-particles using a 32-channel detector", Proc. SPIE 5692, Advanced Biomedical and Clinical Diagnostic Systems III, (1 April 2005); https://doi.org/10.1117/12.591365
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Cited by 10 scholarly publications.
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KEYWORDS
Flow cytometry

Sensors

Luminescence

Signal detection

Particles

Biological research

Principal component analysis

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