Force Sensor Clamp for Fixation of Ultra-thin Membrane Using Micro-hole Array for Tensile Characterization

Yuhao Gao, Shinya Sakuma, Yuichi Murozaki, Fumihito Arai

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

1 Citation (Scopus)

Abstract

To develop the well mimicked tissue model for simulating the surgery containing mechanical interaction between the tissue and surgical tools, we should know the mechanical properties of human tissues. As for the measurement of mechanical properties of tissues, the tensile characterization of ultra-thin membrane is one of the challenges because of the difficulty in handling of thin-membrane. Therefore, we have previously proposed a tensile characterization system utilizing a developed force sensor clamp to evaluate the tensile and tearing characteristics of ultra-thin membrane. The force sensor clamp mainly consists of a force sensor based on a quartz crystal resonator (QCR) and a microfluidic chip having micro-hole array which is utilized a microfluidic suction clamp. In this paper, we discussed design strategy of the micro-hole array to fix the membrane. Finally, tensile experiments of the inner limiting membrane (ILM) samples are conducted to demonstrate the proposed measurement system.

Original languageEnglish
Title of host publication2018 IEEE International Conference on Cyborg and Bionic Systems, CBS 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages9-12
Number of pages4
ISBN (Electronic)9781538673553
DOIs
Publication statusPublished - Jan 14 2019
Externally publishedYes
Event2018 IEEE International Conference on Cyborg and Bionic Systems, CBS 2018 - Shenzhen, China
Duration: Oct 25 2018Oct 27 2018

Publication series

Name2018 IEEE International Conference on Cyborg and Bionic Systems, CBS 2018

Conference

Conference2018 IEEE International Conference on Cyborg and Bionic Systems, CBS 2018
Country/TerritoryChina
CityShenzhen
Period10/25/1810/27/18

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Control and Optimization

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