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基于光纤阵列和简单图像处理的便携式显微镜快速酵母细胞活力分析。

Rapid Yeast Cell Viability Analysis by Using a Portable Microscope Based on the Fiber Optic Array and Simple Image Processing.

机构信息

Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, No. 2 Linggong Road, Ganjingzi District, Dalian 116024, China.

Key Laboratory of Integrated Circuit and Biomedical Electronic System of Liaoning Province, Dalian University of Technology, Dalian 116023, China.

出版信息

Sensors (Basel). 2020 Apr 8;20(7):2092. doi: 10.3390/s20072092.

Abstract

A fiber optic array (FOA) can be used as an alternative or a supplement to the lens in a microscope due to its large magnification, high coupling efficiency and extremely low distortion. Based on our previous research, this paper first demonstrated the resolution and field-of-view (FOV) of the microscope based on the FOA. To further validate the FOA microscope's imaging capability, yeast activity and concentration were investigated by simple image processing. The results showed that the percentages of live and dead yeast cells correctly identified were 92.1% and 84.8%, except for the clusters, which agreed well with the manual counting methods. Then, the performances of the portable microscopes based on the FOA and lens were compared and the factors that affect the FOA microscope imaging performance were analyzed.

摘要

光纤阵列(FOA)可作为显微镜中的透镜的替代品或补充,因为它具有大倍率、高效率耦合和极低失真的特点。基于我们之前的研究,本文首先展示了基于 FOA 的显微镜的分辨率和视场(FOV)。为了进一步验证 FOA 显微镜的成像能力,通过简单的图像处理研究了酵母的活性和浓度。结果表明,活细胞和死细胞的百分比正确识别率分别为 92.1%和 84.8%,除了聚集的细胞外,这与手动计数方法吻合得很好。然后,比较了基于 FOA 和透镜的便携式显微镜的性能,并分析了影响 FOA 显微镜成像性能的因素。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2e83/7180804/72cdd9f634f7/sensors-20-02092-g001.jpg

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