Common tasks in microscopic and ultrastructural image analysis using ImageJ
Common tasks in microscopic and ultrastructural image analysis using ImageJ
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DOI：
10.1080/01913120701719189
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发表时间：
2007-01-01
影响因子：
1
通讯作者：
Pasquinelli, Gianandrea
中科院分区：
文献类型：
--
作者：
Papadopulos, Francesca;Spinelli, Matthew;Pasquinelli, Gianandrea
研究团体和软件开发团队之间的合作导致了新颖软件的创建。本文的目的是展示一种基于 ImageJ (http://rsb.info.nih.gov/ij/) 使用的替代工作方法，该方法可以有效地用于解决常见的显微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/共享世界中工作的可能性。其非常“友好”的图形用户界面可以帮助用户管理和编辑生物医学图像。手册、wiki 和插件等在线材料引导用户了解各种功能，提供有关潜在新应用程序的线索。 Imagej 不仅是一个形态测量分析软件，它还足够灵活，可以适应实验室中日常任务和研究需求的众多要求。示例包括选择性染色的组织成分的面积测量、单细胞水平的细胞计数和面积测量、免疫组织化学抗原定量和免疫电子显微镜金颗粒计数。
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.