Papadopulos Francesca, Spinelli Matthew, Valente Sabrina, Foroni Laura, Orrico Catia, Alviano Francesco, Pasquinelli Gianandrea
Department of Experimental Pathology, Clinical Pathology Section, University of Bologna, Bologna, Italy.
Ultrastruct Pathol. 2007 Nov-Dec;31(6):401-7. doi: 10.1080/01913120701719189.
Cooperation between research communities and software-development teams has led to the creation of novel software. The purpose of this paper is to show an alternative work method based on the usage of ImageJ (http://rsb.info.nih.gov/ij/), which can be effectively employed in solving common microscopic and ultrastructural image analysis tasks. As an open-source software, ImageJ provides the possibility to work in a free-development/sharing world. Its very "friendly" graphical user interface helps users to manage and edit biomedical images. The on-line material such as handbooks, wikis, and plugins leads users through various functions, giving clues about potential new applications. ImageJ is not only a morphometric analysis software, it is sufficiently flexible to be adapted to the numerous requirements tasked in the laboratories as routine as well as research demands. Examples include area measurements on selectively stained tissue components, cell count and area measurements at single cell level, immunohistochemical antigen quantification, and immunoelectron microscopy gold particle count.
研究团体与软件开发团队之间的合作催生了新型软件。本文旨在展示一种基于ImageJ(http://rsb.info.nih.gov/ij/)使用的替代工作方法,该方法可有效用于解决常见的微观和超微结构图像分析任务。作为一款开源软件,ImageJ提供了在自由开发/共享环境中工作的可能性。其非常“友好”的图形用户界面有助于用户管理和编辑生物医学图像。诸如手册、维基和插件等在线资料引导用户了解各种功能,提供有关潜在新应用的线索。ImageJ不仅是一款形态计量分析软件,它还足够灵活,能够适应实验室中常规任务以及研究需求的众多要求。示例包括对选择性染色的组织成分进行面积测量、在单细胞水平进行细胞计数和面积测量、免疫组织化学抗原定量以及免疫电子显微镜金颗粒计数。