度量(数据仓库)
计算机科学
软件
计算机图形学(图像)
用户友好型
人工智能
计算机视觉
人机交互
数据挖掘
操作系统
程序设计语言
标识
DOI:10.1525/abt.2011.73.9.9
摘要
Modern microscopy techniques generate an enormous amount of data in the form of images. Manual analysis of these images produces biased results that are often not reproducible. To extract the numerical data from the images, a free and user-friendly software called ImageJ is available at the NIH website. In this interactive tutorial, students will get acquainted with the applications of ImageJ and learn to measure cell area from the images.
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