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Nucleic Acid Detection Using Bioluminescence Regenerative Cycle and Statistical Signal Processing

Vikalo, H. and Hassibi, A. and Hassibi, B. (2004) Nucleic Acid Detection Using Bioluminescence Regenerative Cycle and Statistical Signal Processing. In: Workshop on genomic signal processing and statistics (GENSIPS). Johns Hopkins University , Baltimore, MD. https://resolver.caltech.edu/CaltechAUTHORS:20150211-073018535

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Abstract

An important emerging research area is the study and development of signal processing techniques for rapid real- time nucleic acid detection (1). In this paper, we focus on the newly developed bioluminescence regenerative cycle (BRC) technique, and apply statistical signal processing to the data identification problem. This extended summary provides a description of the BRC platform and experiments, the statistical model employed for analysis, and some preliminary experimental results.


Item Type:Book Section
Record Number:CaltechAUTHORS:20150211-073018535
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20150211-073018535
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:54679
Collection:CaltechAUTHORS
Deposited By: Shirley Slattery
Deposited On:03 Mar 2015 01:18
Last Modified:03 Oct 2019 07:59

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