TY - GEN
T1 - Automation of an on-chip cell mechanical characterization system for stiffness evaluation
AU - Turan, Bilal
AU - Sakuma, Shinya
AU - Feng, Lin
AU - Arai, Fumihito
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2016/3/21
Y1 - 2016/3/21
N2 - 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].
AB - 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].
UR - https://www.scopus.com/pages/publications/84966633283
U2 - 10.1109/MHS.2015.7438327
DO - 10.1109/MHS.2015.7438327
M3 - 会议稿件
AN - SCOPUS:84966633283
T3 - 2015 International Symposium on Micro-NanoMechatronics and Human Science, MHS 2015
BT - 2015 International Symposium on Micro-NanoMechatronics and Human Science, MHS 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - International Symposium on Micro-NanoMechatronics and Human Science, MHS 2015
Y2 - 23 November 2015 through 25 November 2015
ER -