使用谷歌反向图像搜索破译生物图像

Q2 Biochemistry, Genetics and Molecular Biology
Jennifer L. Mamrosh, David D. Moore
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引用次数: 11

摘要

尽管生物图像处理软件执行的任务范围很广,但目前的版本无法在文献和互联网上其他地方存在的大量生物图像中找到与问题图像匹配的图像。谷歌的反向图像搜索就是为此而设计的,它是一个简单而强大的工具,可以用来破译生物图像的内容。例如,对于包含不熟悉或未知元素的图像,反向图像搜索可以识别已发布图像中的相似特征。在这里,我们描述了使用这个免费工具搜索国家生物技术信息中心(NCBI)图像数据库中已发布的图像的一般指南。这些指南可以应用于各种类型的生物图像,包括免疫组织化学和电子显微镜,以方便使用谷歌的反向图像搜索直接和快速搜索。©2015 by John Wiley &儿子,Inc。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Using Google Reverse Image Search to Decipher Biological Images

Despite the range of tasks performed by biological image-processing software, current versions cannot find matches for the image in question among the huge range of biological images that exist in the literature and elsewhere on the Internet. Google's Reverse Image Search is designed for this, and it is a simple, yet powerful tool that can be applied to decipher the contents of biological images. For images that contain unfamiliar or unknown elements, for example, Reverse Image Search can identify similar features in published images. Here we describe general guidelines for using this freely available tool to search published images in National Center for Biotechnology Information's (NCBI's) image database. These guidelines can be applied to a variety of types of biological images, including immunohistochemistry and electron microscopy, to facilitate straightforward and rapid searches using Google's Reverse Image Search. © 2015 by John Wiley & Sons, Inc.

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来源期刊
Current Protocols in Molecular Biology
Current Protocols in Molecular Biology Biochemistry, Genetics and Molecular Biology-Molecular Biology
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