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Proceedings Paper

Multiwavelength spectroscopy for the detection, identification, and quantification cells
Author(s): Yvette D. Mattley; Luis H. Garcia-Rubio
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Paper Abstract

Multiwavelength spectroscopy is a rapid technique that provides quantitative information for the detection and identification of cells. A typical multiwavelength spectrum reflects the chemical composition, size, internal structure arid number of cells present in a sample. These properties constitute essential information for the identification and classification of cells. The multiwavelength spectrum is generated from the combined scattering and absorption characteristics of the sample. Light scattering theory is then used to deconvolute the spectrum for estimates ofthe critical parameters necessary for the detection and identification of cells. This approach has been used to determine the spectral fingerprint for blood cells, bacterial cells and protozoa. The characteristic set of optical properties for platelets, E. coil and Cryptosporidium have been determined as a function of wavelength and used for the quantitative interpretation ofUV-vis spectra within the context ofMie theory. The models developed using this approach provide reliable and accurate estimates for cell size, number, chemical composition and internal structure. Information on the chemical composition is further deconvoluted into quantitative estimates of nucleic acid and protein content. This type of detailed information is thell used for the discrimination of cell types. The technique is applicable to a wide range of cell types found in diverse environments. Advances in the development of miniaturized spectrometers increase the potential of this method as an excellent candidate for a rapid, reliable and efficient biosensor.

Paper Details

Date Published: 13 March 2001
PDF: 8 pages
Proc. SPIE 4206, Photonic Detection and Intervention Technologies for Safe Food, (13 March 2001); doi: 10.1117/12.418743
Show Author Affiliations
Yvette D. Mattley, Univ. of South Florida (United States)
Luis H. Garcia-Rubio, Univ. of South Florida (United States)

Published in SPIE Proceedings Vol. 4206:
Photonic Detection and Intervention Technologies for Safe Food
Yud-Ren Chen; Shu-I Tu, Editor(s)

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