Multivariate optical computing for fluorochrome discrimination

Ryan J. Priore; Joseph A. Swanstrom

doi:10.1117/12.2080996

9 March 2015 Multivariate optical computing for fluorochrome discrimination

Ryan J. Priore, Joseph A. Swanstrom

Proceedings Volume 9332, Optical Diagnostics and Sensing XV: Toward Point-of-Care Diagnostics; 933212 (2015) https://doi.org/10.1117/12.2080996
Event: SPIE BiOS, 2015, San Francisco, California, United States

Abstract

Multivariate Optical Elements (MOEs) are thin-film devices that encode a broad band, spectroscopic pattern allowing a simple broadband detector to generate a highly sensitive and specific detection for a target analyte. MOE filter sets are capable of sensing projections of the original sparse spectroscopic space enabling a small set of MOEs to discriminate a multitude of target analytes. This presentation will summarize the design and fabrication of compressed detection MOE filter sets for detecting multiple fluorochromes simultaneously with strong spectroscopic interference as well as comparing the detection performance of the MOE sensor with traditional optical band pass filter methodologies.

Citation Download Citation

Ryan J. Priore and Joseph A. Swanstrom "Multivariate optical computing for fluorochrome discrimination", Proc. SPIE 9332, Optical Diagnostics and Sensing XV: Toward Point-of-Care Diagnostics, 933212 (9 March 2015); https://doi.org/10.1117/12.2080996

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