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SlideJ: An ImageJ plugin for automated processing of whole slide images

机译:SlideJ:一个ImageJ插件,用于自动处理整个幻灯片图像

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摘要

The digital slide, or Whole Slide Image, is a digital image, acquired with specific scanners, that represents a complete tissue sample or cytological specimen at microscopic level. While Whole Slide image analysis is recognized among the most interesting opportunities, the typical size of such images-up to Gpixels- can be very demanding in terms of memory requirements. Thus, while algorithms and tools for processing and analysis of single microscopic field images are available, Whole Slide images size makes the direct use of such tools prohibitive or impossible. In this work a plugin for ImageJ, named SlideJ, is proposed with the objective to seamlessly extend the application of image analysis algorithms implemented in ImageJ for single microscopic field images to a whole digital slide analysis. The plugin has been complemented by examples of macro in the ImageJ scripting language to demonstrate its use in concrete situations.
机译:数字幻灯片或整张幻灯片图像是通过特定扫描仪获取的数字图像,它代表了微观水平上的完整组织样本或细胞学标本。尽管全幻灯片图像分析被认为是最有趣的机会之一,但是这种图像的典型大小(高达G像素)在内存需求方面可能非常苛刻。因此,尽管有用于处理和分析单个显微视野图像的算法和工具,但整个幻灯片图像的大小使得禁止或不可能直接使用此类工具。在这项工作中,提出了一个名为SlideJ的ImageJ插件,其目的是将在ImageJ中实现的针对单个显微视野图像的图像分析算法的应用无缝扩展到整个数字幻灯片分析。该插件已通过ImageJ脚本语言中的宏示例进行了补充,以演示其在具体情况下的用法。

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