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Computational Intelligence in Bacterial Spore Detection & Identification

Publication ,  Journal Article
Bosacchi, B; Mehendale, M; Warren, WS; Rabitz, H; Scully, MO
Published in: Proceedings of SPIE - The International Society for Optical Engineering
December 1, 2003

Optical techniques are very promising for detecting and identifying bacterial spores. They are potentially superior to the existing "wet chemistry" approaches regarding several important features of an effective alarm system, such as speed, in-field use, continuous monitoring, and reliability. In this paper we discuss the role that computational intelligence (CI) can play in the control and optimization of optical experiments, and in the analysis and interpretation of the large amount of data they provide. After a brief discussion of the use of CI in the classification of optical spectra, we introduce the recently proposed FAST CARS (Femtosecond Adaptive Spectroscopic Techniques for Coherent Anti-Stokes Raman Scattering) technique. Here the role of CI is essential: using an adaptive feedback approach based on genetic algorithms, the hardware system evolves and organizes itself to optimize the intensity of the CARS signal.

Duke Scholars

Published In

Proceedings of SPIE - The International Society for Optical Engineering

ISSN

0277-786X

Publication Date

December 1, 2003

Volume

5200

Start / End Page

31 / 45
 

Citation

APA
Chicago
ICMJE
MLA
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Bosacchi, B., Mehendale, M., Warren, W. S., Rabitz, H., & Scully, M. O. (2003). Computational Intelligence in Bacterial Spore Detection & Identification. Proceedings of SPIE - The International Society for Optical Engineering, 5200, 31–45.
Bosacchi, B., M. Mehendale, W. S. Warren, H. Rabitz, and M. O. Scully. “Computational Intelligence in Bacterial Spore Detection & Identification.” Proceedings of SPIE - The International Society for Optical Engineering 5200 (December 1, 2003): 31–45.
Bosacchi B, Mehendale M, Warren WS, Rabitz H, Scully MO. Computational Intelligence in Bacterial Spore Detection & Identification. Proceedings of SPIE - The International Society for Optical Engineering. 2003 Dec 1;5200:31–45.
Bosacchi, B., et al. “Computational Intelligence in Bacterial Spore Detection & Identification.” Proceedings of SPIE - The International Society for Optical Engineering, vol. 5200, Dec. 2003, pp. 31–45.
Bosacchi B, Mehendale M, Warren WS, Rabitz H, Scully MO. Computational Intelligence in Bacterial Spore Detection & Identification. Proceedings of SPIE - The International Society for Optical Engineering. 2003 Dec 1;5200:31–45.

Published In

Proceedings of SPIE - The International Society for Optical Engineering

ISSN

0277-786X

Publication Date

December 1, 2003

Volume

5200

Start / End Page

31 / 45