Okada Hiroki, Ohnuki Shinsuke, Ohya Yoshikazu
Department of Integrated Biosciences, Graduate School of Frontier Sciences, The University of Tokyo, 5-1-5 Kashiwanoha, Kashiwa, Chiba Prefecture 277-8562, Japan.
Cold Spring Harb Protoc. 2015 Apr 1;2015(4):408-12. doi: 10.1101/pdb.prot078667.
Automated image acquisition and processing systems have been developed to quantitatively describe yeast cell morphology. These systems are superior to the preceding qualitative methods in terms of reproducibility, as they completely avoid subjective recognition of images. Because high-throughput microscopy has enabled rapid production of numerous cellular images, reinforcement of high-performance and high-throughput automated image-processing techniques has been in increasing demand in the field of biology. This protocol describes how to use a high-throughput microscope in conjunction with the image-processing software CalMorph, which outputs more than 500 morphological parameters, for quantification of cell, actin, and nuclear DNA morphology.
已开发出自动图像采集和处理系统来定量描述酵母细胞形态。这些系统在可重复性方面优于之前的定性方法,因为它们完全避免了对图像的主观识别。由于高通量显微镜能够快速生成大量细胞图像,生物学领域对高性能和高通量自动图像处理技术的需求日益增加。本方案描述了如何将高通量显微镜与图像处理软件CalMorph结合使用,该软件可输出500多个形态学参数,用于细胞、肌动蛋白和核DNA形态的定量分析。