Detection of single cell activity by using fluorescence-based multiscale pH and oxygen sensors

Masayasu Suzuki*, Takeshi Yamada, Satoshi Kato, Yasunori Iribe

*Corresponding author for this work

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

4 Scopus citations

Abstract

This paper reports a parallel monitoring method for single cell metabolic and respiration activity by using a microarrayed pH and oxygen sensor. Optical sensor film was prepared by immobilizing fluorescein isothiocyanate (for pH sensor array) or dichlorotris (1,10-phenanthroline) ruthenium (II) (for oxygen sensor array) onto a diamond like carbon sputtered slide glass. Micro well (10 μm i.d.) array was prepared with carbon black doped PDMS (or epoxy resin) onto the sensor film. The prepared microarrayed pH and oxygen sensor enabled independent pH and oxygen sensing in each micro well, and the difference of metabolic and respiration activity of single cell (mouse lymphocyte) could be detected in a microarrayed pH and oxygen sensor.

Original languageEnglish
Title of host publication2008 International Symposium on Micro-NanoMechatronics and Human Science, MHS 2008, with Symposium on "COE for Education and Research of Micro-Nano Mechatronics"
Pages311-316
Number of pages6
DOIs
StatePublished - 2008
Event2008 International Symposium on Micro-NanoMechatronics and Human Science, MHS 2008, with Symposium on "COE for Education and Research of Micro-Nano Mechatronics", Symposium on "System Cell Engineering by Multi-scale Manipulation" - Nagoya, Japan
Duration: 2008/11/062008/11/09

Publication series

Name2008 International Symposium on Micro-NanoMechatronics and Human Science, MHS 2008

Conference

Conference2008 International Symposium on Micro-NanoMechatronics and Human Science, MHS 2008, with Symposium on "COE for Education and Research of Micro-Nano Mechatronics", Symposium on "System Cell Engineering by Multi-scale Manipulation"
Country/TerritoryJapan
CityNagoya
Period2008/11/062008/11/09

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction
  • Electrical and Electronic Engineering

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