Robust bioinformatics recognition with VLSI biochip microsystem

Jaw Chyng L. Lue, Wai-Chi  Fang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

A microsystem architecture for real-time, on-site, robust bioinformatic patterns recognition and analysis has been proposed. This system is compatible with on-chip DNA analysis means such as polymerase chain reaction (PCR) amplification. A corresponding novel artificial neural network (ANN) learning algorithm using new sigmoid-logarithmic transfer function based on error backpropagation (EBP) algorithm is invented. Our results show the trained new ANN can recognize low fluorescence patterns better than the conventional sigmoidal ANN does. A differential logarithmic imaging chip is designed for calculating logarithm of relative intensities of fluorescence signals. The single-rail logarithmic circuit and a prototype ANN chip are designed, fabricated and characterized.

Original languageEnglish
Title of host publication2006 IEEE/NLM Life Science Systems and Applications Workshop, LiSA 2006
DOIs
StatePublished - 1 Dec 2006
Event2006 IEEE/NLM Life Science Systems and Applications Workshop, LiSA 2006 - Bethesda, MD, United States
Duration: 13 Jul 200614 Jul 2006

Publication series

Name2006 IEEE/NLM Life Science Systems and Applications Workshop, LiSA 2006

Conference

Conference2006 IEEE/NLM Life Science Systems and Applications Workshop, LiSA 2006
CountryUnited States
CityBethesda, MD
Period13/07/0614/07/06

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  • Cite this

    Lue, J. C. L., & Fang, W-C. (2006). Robust bioinformatics recognition with VLSI biochip microsystem. In 2006 IEEE/NLM Life Science Systems and Applications Workshop, LiSA 2006 [4015785] (2006 IEEE/NLM Life Science Systems and Applications Workshop, LiSA 2006). https://doi.org/10.1109/LSSA.2006.250384