Liu Lifeng, Yang Guang, Liu Shoupeng, Wang Linbo, Yang Xibin, Qu Huiming, Liu Xiaofen, Cao Le, Pan Weijun, Li Hui
School of Electronic Engineering and Optoelectronics Technology, Nanjing University of Science and Technology, Nanjing 210094, China.
Jiangsu Key Laboratory of Medical Optics, CAS Center for Excellence in Molecular Cell Science, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou 215163, China.
Biomed Opt Express. 2017 Nov 16;8(12):5651-5662. doi: 10.1364/BOE.8.005651. eCollection 2017 Dec 1.
High-throughput imaging and screening is essential for biomedical research and drug discovery using miniature model organisms such as zebrafish. This study introduces a high-speed imaging system which illuminates zebrafish embryos flowing through a capillary tube with a sheet of light and captures them using a linear charge-coupled device (CCD). This system can image dozens of zebrafish embryos per second. An image algorithm was developed to recognize each embryo and to perform automatic analysis. We distinguished dead and living embryos according to the gray level distribution and conducted statistics of morphological characteristics of embryos at different growing stages.
高通量成像和筛选对于使用斑马鱼等微型模式生物进行生物医学研究和药物发现至关重要。本研究介绍了一种高速成像系统，该系统用一片光照射流经毛细管的斑马鱼胚胎，并用线性电荷耦合器件（CCD）对其进行捕获。该系统每秒可对数十个斑马鱼胚胎进行成像。开发了一种图像算法来识别每个胚胎并进行自动分析。我们根据灰度分布区分死胚胎和活胚胎，并对不同生长阶段胚胎的形态特征进行统计。
