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Proceedings Paper

Design requirements for integrated biosensor arrays
Author(s): Ali Agah; Arjang Hassibi; James D. Plummer; Peter B. Griffin
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Paper Abstract

Miniaturization and integration of biosensor platforms is appealing due to smaller reaction volumes, larger numbers of detection sites and integration of various functionalities. Proper design of integrated biosensors is crucial in such systems due to limitation in resources such as power, chip area and cost. The optimal design involves determining the required sensor metrics and achieving these metrics with minimum use of the available resources. The system-level requirements of various biosensor arrays are discussed in this paper. We will show here, that while in certain applications, the best sensor performance in terms of signal-to-noise ratio (SNR) or dynamic range (DR) is desirable, in others, these metrics can be traded off with power, area and ease of design and implementation. As a practical example, the design of a high DR sensor array for bioluminescence detection is considered. Various high DR schemes are qualitatively compared in order to determine the advantages and disadvantages of each scheme in terms of SNR and power consumption. Two schemes are shown to be most suitable for such applications: synchronous self-reset with residue readout and read-self reset. The SNR and suitable applications of these techniques are compared in greater detail through behavioral simulations.

Paper Details

Date Published: 29 March 2005
PDF: 11 pages
Proc. SPIE 5699, Imaging, Manipulation, and Analysis of Biomolecules and Cells: Fundamentals and Applications III, (29 March 2005); doi: 10.1117/12.591300
Show Author Affiliations
Ali Agah, Stanford Univ. (United States)
Arjang Hassibi, Stanford Univ. (United States)
James D. Plummer, Stanford Univ. (United States)
Peter B. Griffin, Stanford Univ. (United States)


Published in SPIE Proceedings Vol. 5699:
Imaging, Manipulation, and Analysis of Biomolecules and Cells: Fundamentals and Applications III
Dan V. Nicolau; Dan V. Nicolau; Jörg Enderlein; Ramesh Raghavachari; Robert C. Leif; Daniel L. Farkas, Editor(s)

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