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Symmetry restoration and quantum Mpemba effects in chaotic andlocalization sy...
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报告题目:
Interactions between Micro Engineering System and Micro Biological System
 报告人:
Chih-Ming Ho
Center for Cell Control (CCC)
Henry Samueli School of Engineering and Applied Science
University of California, Los Angeles
Los Angeles, California 90095 
科研副校长,美国工程学院院士
报告时间:
2008-10-22 09:30
报告地点:
清华大学精密仪器与机械学系(9003大楼)4303会议室
主办单位:
清华大学精密仪器与机械学系
  简介:

Micro-Electro-Mechanical-Systems (MEMS) technology enables us to design and fabricate transducers matching the length scale of a biological cell.  With this unprecedented capability, we can interrogate and manipulate cells for diagnostic or therapeutic purposes.

Micro diagnostic systems are developed for specific and sensitive detection of biomarkers secreted from the cells or in fluid containing lysed cells. The system consists of microfluidic circuitry and molecular sensor. Moving, stopping, mixing and separation of fluids and particles are the fluidic processes for preparing biological sample ready for sensing the bio molecules.  The challenge of perfecting the sample preparation in microscale is the presence of macro complex molecules commonly found in the bio-fluid flows. The background noise a biomarker sensor is always the limiting factor of limit of detection (LOD). 

Micro implantable systems or drug screening systems need to interface with live cells which make the task become extremely challenging.  Cell consists of a large number of macro functional molecules. Cellular activities are manifestations of intra- and inter-molecular transports, motions of cellular molecules, and signaling pathway regulation. Design an engineering system to interact with a biological complex system to achieve a well defined goal leads toward an extremely rich research field.

In this presentation, we will present a unique approach which employs an engineering system control scheme to direct a cellular system toward a desired phenotype through combinatorial drug stimulations.  With the system control, we can rapidly search the optimal drug combination from a large number, say 1,000,000, potential trials.  In addition, much lower drug doses than would be necessary if the drugs were used alone; in fact, the concentrations of the drugs were only about 10 percent of that required when used individually.
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