First introduced at the University of Colorado, CEMS (Cellular Engineering Micro Systems) is an enabling technology and research platform for cellular research. By combining the engineering technology known as MEMS (MicroElectrical Mechanical Systems) and cellular biology, CEMS technology will allow researches to study individual cells. A CEMS platform of novel type, based on the MUMPS process, has been designed and manufactured. It enables researcher to apply and measure stresses on a living single cell, in a biaxial fashion, while keeping the manufacturing costs low. Furthermore, the particular geometry of the linkages, which has been developed, results in a very predictable and reliable mechanical behaviour, and allows to use a very simple control system. The device has been designed and optimized using finite element analysis techniques. Moreover, an analytical model for the entire system has been developed and compared against the experimental data.

Design and Characterization of a Novel CEMS Platform

NICOLICH, MARINO;GALLINA, PAOLO;SCUOR, NICOLA;SERGO, VALTER;SBAIZERO, ORFEO
2005-01-01

Abstract

First introduced at the University of Colorado, CEMS (Cellular Engineering Micro Systems) is an enabling technology and research platform for cellular research. By combining the engineering technology known as MEMS (MicroElectrical Mechanical Systems) and cellular biology, CEMS technology will allow researches to study individual cells. A CEMS platform of novel type, based on the MUMPS process, has been designed and manufactured. It enables researcher to apply and measure stresses on a living single cell, in a biaxial fashion, while keeping the manufacturing costs low. Furthermore, the particular geometry of the linkages, which has been developed, results in a very predictable and reliable mechanical behaviour, and allows to use a very simple control system. The device has been designed and optimized using finite element analysis techniques. Moreover, an analytical model for the entire system has been developed and compared against the experimental data.
2005
9788887030969
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11368/2403498
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