单元格排序
微流控
分类
光学镊子
人口
纳米技术
计算机科学
炸薯条
材料科学
细胞
化学
光学
物理
电信
生物化学
人口学
社会学
程序设计语言
作者
Xiaolin Wang,Shuxun Chen,Marco Kong,Zuankai Wang,Kevin D. Costa,Ronald A. Li,Dong Sun
出处
期刊:Lab on a Chip
[Royal Society of Chemistry]
日期:2011-01-01
卷期号:11 (21): 3656-3656
被引量:413
摘要
Sorting (or isolation) and manipulation of rare cells with high recovery rate and purity are of critical importance to a wide range of physiological applications. In the current paper, we report on a generic single cell manipulation tool that integrates optical tweezers and microfluidic chip technologies for handling small cell population sorting with high accuracy. The laminar flow nature of microfluidics enables the targeted cells to be focused on a desired area for cell isolation. To recognize the target cells, we develop an image processing methodology with a recognition capability of multiple features, e.g., cell size and fluorescence label. The target cells can be moved precisely by optical tweezers to the desired destination in a noninvasive manner. The unique advantages of this sorter are its high recovery rate and purity in small cell population sorting. The design is based on dynamic fluid and dynamic light pattern, in which single as well as multiple laser traps are employed for cell transportation, and a recognition capability of multiple cell features. Experiments of sorting yeast cells and human embryonic stem cells are performed to demonstrate the effectiveness of the proposed cell sorting approach.
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