Design of microdevices for long-term live cell imaging

被引:8
|
作者
Chen, Huaying [1 ,2 ]
Rosengarten, Gary [3 ]
Li, Musen [2 ]
Nordon, Robert E. [1 ]
机构
[1] Univ New S Wales, Grad Sch Biomed Engn, Sydney, NSW 2052, Australia
[2] Shandong Univ, Sch Mat Sci & Engn, Jinan 250100, Peoples R China
[3] Univ New S Wales, Sch Mfg & Mech Engn, Sydney, NSW 2052, Australia
关键词
MICROFLUIDIC CHANNELS; CULTURE ARRAY; SHEAR-STRESS; DOCKING; FLOW; SYSTEMS; DEVICE; VALVES; WELL;
D O I
10.1088/0960-1317/22/6/065033
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Advances in fluorescent live cell imaging provide high-content information that relates a cell's life events to its ancestors. An important requirement to track clonal growth and development is the retention of motile cells derived from an ancestor within the same microscopic field of view for days to weeks, while recording fluorescence images and controlling the mechanical and biochemical microenvironments that regulate cell growth and differentiation. The aim of this study was to design a microwell device for long-term, time-lapse imaging of motile cells with the specific requirements of (a) inoculating devices with an average of one cell per well and (b) retaining progeny of cells within a single microscopic field of view for extended growth periods. A two-layer PDMS microwell culture device consisting of a parallel-plate flow cell bonded on top of a microwell array was developed for cell capture and clonal culture. Cell deposition statistics were related to microwell geometry (plate separation and well depth) and the Reynolds number. Computational fluid dynamics was used to simulate flow in the microdevices as well as cell-fluid interactions. Analysis of the forces acting upon a cell was used to predict cell docking zones, which were confirmed by experimental observations. Cell-fluid dynamic interactions are important considerations for design of microdevices for long-term, live cell imaging. The analysis of force and torque balance provides a reasonable approximation for cell displacement forces. It is computationally less intensive compared to simulation of cell trajectories, and can be applied to a wide range of microdevice geometries to predict the cell docking behavior.
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页数:11
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