Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
Bilkent University, National Nanotechnology Research Center, Ankara, Turkey.
Sci Rep. 2018 Feb 23;8(1):3550. doi: 10.1038/s41598-018-21833-9.
The process of detection and separation of yeast cells based on their morphological characteristics is critical to the understanding of cell division cycles, which is of vital importance to the understanding of some diseases such as cancer. The traditional process of manual detection is usually tedious and inconsistent. This paper presents a microfluidic device integrated with microvalves for fluid control for the sorting of yeast cells using image processing algorithms and confirmation based on their fluorescent tag. The proposed device is completely automated, low cost and easy to implement in an academic research setting. Design details of the integrated microfluidic system are highlighted in this paper, along with experimental validation. Real time cell sorting was demonstrated with a cell detection rate of 12 cells per minute.
基于形态特征的酵母细胞检测和分离过程对于细胞分裂周期的理解至关重要，而细胞分裂周期的理解对于癌症等某些疾病的研究具有重要意义。传统的手动检测过程通常既繁琐又不一致。本文提出了一种集成微阀的微流控装置，用于通过图像处理算法和基于荧光标记的确认来对酵母细胞进行分选。该装置完全自动化、成本低，并且易于在学术研究环境中实现。本文重点介绍了集成微流控系统的设计细节，并进行了实验验证。通过该系统实现了实时细胞分选，细胞检测率达到每分钟 12 个。
