Bio-inspired microsystem for robust genetic assay recognition.
A compact integrated system-on-chip (SoC) architecture solution for robust, real-time, and on-site genetic analysis has been proposed. This microsystem solution is noise-tolerable and suitable for analyzing the weak fluorescence patterns from a PCR prepared dual-labeled DNA microchip assay. In the a...
| Publicado en: | Journal of Biomedicine & Biotechnology pp. 10p - 11 |
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| Autores principales: | , |
| Formato: | equations & formulas pictorial research tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
2008 Regular issue
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=105557268&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 105557268 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 11107243 137K jtl: Journal of Biomedicine & Biotechnology issn: 11107243 maglogo: N pubinfo: dt: 2008 Regular issue pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 105557268 105557268 2010050624 NLM18566679 105557268 ppf: 10p ppct: 1 formats: fmt: @attributes: type: P tig: atl: Bio-inspired microsystem for robust genetic assay recognition. aug: au: Lue J Fang W affil: Department of Electrical Engineering - Electrophysics, University of Southern California, Los Angeles, CA 90089, USA; lormen@gmail.com sug: subj: Biochips Genetic Techniques Equipment and Supplies Polymerase Chain Reaction Equipment and Supplies Signal Processing, Computer Assisted Equipment and Supplies Spectrometry, Fluorescence Equipment and Supplies Algorithms Biotechnology Methods Equipment Design Equipment Failure Evaluation Research Funding Source Genetic Techniques Methods Neural Networks (Computer) Spectrometry, Fluorescence Methods Human ab: A compact integrated system-on-chip (SoC) architecture solution for robust, real-time, and on-site genetic analysis has been proposed. This microsystem solution is noise-tolerable and suitable for analyzing the weak fluorescence patterns from a PCR prepared dual-labeled DNA microchip assay. In the architecture, a preceding VLSI differential logarithm microchip is designed for effectively computing the logarithm of the normalized input fluorescence signals. A posterior VLSI artificial neural network (ANN) processor chip is used for analyzing the processed signals from the differential logarithm stage. A single-channel logarithmic circuit was fabricated and characterized. A prototype ANN chip with unsupervised winner-take-all (WTA) function was designed, fabricated, and tested. An ANN learning algorithm using a novel sigmoid-logarithmic transfer function based on the supervised backpropagation (BP) algorithm is proposed for robustly recognizing low-intensity patterns. Our results show that the trained new ANN can recognize low-fluorescence patterns better than an ANN using the conventional sigmoid function. pubtype: Academic Journal doctype: equations & formulas pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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