Multispectral bacterial identification

Michael A. Tanner; William J. Coleman; Christine L. Everett; Steven J. Robles; Michael R. Dilworth; Mary M. Yang; Douglas C. Youvan

doi:10.1117/12.382039

11 April 2000 Multispectral bacterial identification

Michael A. Tanner, William J. Coleman, Christine L. Everett, Steven J. Robles, Michael R. Dilworth, Mary M. Yang, Douglas C. Youvan

Author Affiliations +

Proceedings Volume 3913, In-Vitro Diagnostic Instrumentation; (2000) https://doi.org/10.1117/12.382039
Event: BiOS 2000 The International Symposium on Biomedical Optics, 2000, San Jose, CA, United States

Abstract

A multi spectral optical technique was developed to simultaneously classify individual bacterial cells within mixed populations. Multi spectral Bacterial Identification (mBID) combines innovations in microscopy with a software analysis program to measure and characterize the fluorescence signals from multiplexed 16S ribosomal RNA probes hybridized to populations of different bacteria. Software was developed to identify individual bacteria at the level of species within these mixed populations. TO test the feasibility of mBID, we examined the fluorescence emissions from a mixture of probes specific for individual species of known bacteria from the American Type Culture Collection. Currently, up to seven species can be detected simultaneously by fluorescence microscopy. An eighth signal was reserved for a universal probe to control for fluorescence intensity. mBID can also be used to identify uncultured microorganisms. We plan to couple this new multi spectral technology to existing identification technologies that utilize 16S rRNA sequence alignment. Using this integrated identification protocol, bacteria that may be associated with chronic conditions will be identified first by analyzing their 16S rDNA sequences and then by visualizing them with flourescent probes hybridized to their 16S rRNA in situ.

Citation Download Citation

Michael A. Tanner, William J. Coleman, Christine L. Everett, Steven J. Robles, Michael R. Dilworth, Mary M. Yang, and Douglas C. Youvan "Multispectral bacterial identification", Proc. SPIE 3913, In-Vitro Diagnostic Instrumentation, (11 April 2000); https://doi.org/10.1117/12.382039

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