Automation of an on-chip cell mechanical characterization system for stiffness evaluation

Bilal Turan, Shinya Sakuma, Lin Feng, Fumihito Arai

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

Abstract

We present an automation system for on-chip cell mechanical characterization system for evaluating the stiffness of oocytes. A high frequency visual feedback control system is proposed. Using simple yet effective image analysis algorithms, the high frequency visual feedback is able to improve the response of the cell manipulation, the throughput of the system is improved consequently. To measure the stiffness of the oocytes, a microfluidic chip with magnetically driven on-chip probe and a thin beam based force sensor is used [1].

Original languageEnglish
Title of host publication2015 International Symposium on Micro-NanoMechatronics and Human Science, MHS 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479966783
DOIs
Publication statusPublished - Mar 21 2016
Externally publishedYes
EventInternational Symposium on Micro-NanoMechatronics and Human Science, MHS 2015 - Nagoya, Japan
Duration: Nov 23 2015Nov 25 2015

Publication series

Name2015 International Symposium on Micro-NanoMechatronics and Human Science, MHS 2015

Other

OtherInternational Symposium on Micro-NanoMechatronics and Human Science, MHS 2015
CountryJapan
CityNagoya
Period11/23/1511/25/15

All Science Journal Classification (ASJC) codes

  • Biomedical Engineering
  • Electrical and Electronic Engineering
  • Biotechnology
  • Education

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