Nucleic Acid Detection Using Bioluminescence Regenerative Cycle and Statistical Signal Processing

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.

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