Della Mea Vincenzo, Baroni Giulia L, Pilutti David, Di Loreto Carla
Department of Mathematics, Computer Science and Physics, University of Udine, Udine, Italy.
Department of Medicine, University of Udine, Udine, Italy.
PLoS One. 2017 Jul 6;12(7):e0180540. doi: 10.1371/journal.pone.0180540. eCollection 2017.
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.
数字切片,即全切片图像,是一种通过特定扫描仪获取的数字图像,它在微观层面代表一个完整的组织样本或细胞学标本。虽然全切片图像分析被认为是最具吸引力的机会之一,但此类图像的典型大小可达千兆像素,这对内存要求非常高。因此,虽然有用于处理和分析单个微观视野图像的算法和工具,但全切片图像的大小使得直接使用这些工具变得昂贵或无法实现。在这项工作中,提出了一个名为SlideJ的ImageJ插件,目的是将ImageJ中为单个微观视野图像实现的图像分析算法无缝扩展到整个数字切片分析。该插件还辅以ImageJ脚本语言的宏示例,以演示其在具体情况下的使用。