Speaker: Dr. Amir Sanati Nezhad,
PhD, Assistant Professor,
Department of Mechanical and Manufacturing Engineering,
University of Calgary
Title: Bioinspired microfluidics: From single cell analysis to development of organ on chip platforms
(1) Local Organizer: Prof. Vosoughi
(1) Time: Tuesday 16 Dec 2014 13:30 p.m.
(1) Location: Department of Chemical Engineering, Sharif University of Technology
(2) Local Organizer: Dr. Morteza Janmaleki
(2) Time: Monday 15 Dec 2014 8 a.m.
(2) Location: Biological Science Faculty, Shahid Beheshti University
(3) Local Organizer: Dr Granpayeh
(3) Time: Monday 15 Dec 2014 4 p.m.
(3) Location: Department of Electrical Engineering, K.N.Toosi University of Technology
(4) Local Organizer: Dr. Navabi
(4) Time: Wed, Dec. 17, 12:30
(4) Location: International Conference Center martyr Beheshti University, Khwarizmi
Abstract:
Microfluidic platforms take advantage of miniaturization for manipulating individual cells, handling small volume of liquids and providing a physiologically relevant micro-environment to create in vitro models for single cell analysis and high-throughput cellular studies. These platforms are known functional tools particularly useful for investigating the effects of chemical, physical and electrical signals on cell characteristics such as cell morphogenesis, stiffness, growth, squeezing or migration. In addition, they have recently been used for engineering different tissues and developing in vitro models of human organs that recapitulate the microarchitecture and functions of living organs. Recent progress on organ-on-chip systems has targeted the applications in drug discovery and disease modeling. It is anticipated that these in vitro physiologically relevant organ models provide a practical alternative for the traditional animal models and significantly reduce the costs of drug discovery and pharmaceuticals. Here, we present our recent progress on development of bioinspired microfluidics with the applications ranging from single cell analysis to the development of organ-on-chip platforms.