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用于精确测量出芽酵母和裂殖酵母形态的图像处理程序评估。

Evaluation of image processing programs for accurate measurement of budding and fission yeast morphology.

作者信息

Suzuki Genjiro, Sawai Hiroshi, Ohtani Miwaka, Nogami Satoru, Sano-Kumagai Fumi, Saka Ayaka, Yukawa Masashi, Saito Taro L, Sese Jun, Hirata Dai, Morishita Shinichi, Ohya Yoshikazu

机构信息

Department of Integrated Biosciences, Graduate School of Frontier Sciences, University of Tokyo, Bldg. FSB-101, 5-1-5 Kashiwanoha, 277-8562, Kashiwa, Chiba, Japan.

出版信息

Curr Genet. 2006 Apr;49(4):237-47. doi: 10.1007/s00294-005-0051-0. Epub 2006 Jan 6.

Abstract

To study the cellular functions of gene products, various yeast morphological mutants have been investigated. To describe yeast morphology objectively, we have developed image processing programs for budding and fission yeast. The programs, named CalMorph for budding yeast and F-CalMorph for fission yeast, directly process microscopic images and generate quantitative data about yeast cell shape, nuclear shape and location, and actin distribution. Using CalMorph, we can easily and quickly obtain various quantitative data reproducibly. To study the utility and reliability of CalMorph, we evaluated its data in three ways: (1) The programs extracted three-dimensional bud information from two-dimensional digital images with a low error rate (<1%). (2) The absolute values of the diameters of manufactured fluorescent beads calculated with CalMorph were very close to those given in the manufacturer's data sheet. (3) The programs generated reproducible data consistent with that obtained by hand. Based on these results, we determined that CalMorph could monitor yeast morphological changes accompanied by the progression of the cell cycle. We discuss the potential of the CalMorph series as a novel tool for the analysis of yeast cell morphology.

摘要

为了研究基因产物的细胞功能,人们对各种酵母形态突变体进行了研究。为了客观地描述酵母形态,我们开发了用于芽殖酵母和裂殖酵母的图像处理程序。这些程序,芽殖酵母的名为CalMorph,裂殖酵母的名为F-CalMorph,可直接处理显微镜图像并生成有关酵母细胞形状、细胞核形状和位置以及肌动蛋白分布的定量数据。使用CalMorph,我们可以轻松、快速地重复获得各种定量数据。为了研究CalMorph的实用性和可靠性,我们通过三种方式评估了其数据:(1)这些程序从二维数字图像中提取三维芽信息,错误率很低(<1%)。(2)用CalMorph计算的人造荧光珠直径的绝对值与制造商数据表中给出的值非常接近。(3)这些程序生成的可重复数据与手工获得的数据一致。基于这些结果,我们确定CalMorph可以监测伴随细胞周期进程的酵母形态变化。我们讨论了CalMorph系列作为分析酵母细胞形态的新型工具的潜力。

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