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Image analysis for multi-analyte xerogel based sensor arrays

  • SUNY Buffalo

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

This paper describes an image analysis neural network that is used to determine analyte concentrations in xerogel-based sensor arrays. Xerogel-based sensor elements developed using sol-gel processing techniques have been used for recognition elements in many areas including the biomedical, industrial and environmental fields. These arrays are composed of many individual pin-printed xerogel "spots" each which can be selective to a different analyte or be formed so that multiple spots correspond to a single analyte, but with different sensitivities. We analyze an array of spots printed on a microscopic glass slide with diameters ranging from 10μm to 500μm. We describe a multistage neural network that correctly identifies the analyte concentration for a prototype 10×10 array of sensor spots, and discuss how this can be scaled to handle arrays for multiple analytes.

Original languageEnglish
Title of host publicationProceedings of the Fourth IEEE Conference on Sensors 2005
Pages373-376
Number of pages4
DOIs
StatePublished - 2005
EventFourth IEEE Conference on Sensors 2005 - Irvine, CA, United States
Duration: Oct 31 2005Nov 3 2005

Publication series

NameProceedings of IEEE Sensors
Volume2005

Conference

ConferenceFourth IEEE Conference on Sensors 2005
Country/TerritoryUnited States
CityIrvine, CA
Period10/31/0511/3/05

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