插件
脚本语言
软件
开源软件
转化(遗传学)
计算机科学
软件工程
数据科学
图像处理
开源
建筑
人工智能
图像(数学)
生物
操作系统
生物化学
基因
艺术
视觉艺术
作者
Johannes Schindelin,Ignacio Arganda‐Carreras,Erwin Frise,Verena Kaynig,Mark Longair,Tobias Pietzsch,Stephan Preibisch,Curtis Rueden,Stephan Saalfeld,Benjamin Schmid,Jean-Yves Tinévez,Daniel J. White,Volker Hartenstein,Kevin W. Eliceiri,Pavel Tomančák,Albert Cardona
出处
期刊:Nature Methods
[Springer Nature]
日期:2012-06-28
卷期号:9 (7): 676-682
被引量:53078
摘要
Presented is an overview of the image-analysis software platform Fiji, a distribution of ImageJ that updates the underlying ImageJ architecture and adds modern software design elements to expand the capabilities of the platform and facilitate collaboration between biologists and computer scientists. Fiji is a distribution of the popular open-source software ImageJ focused on biological-image analysis. Fiji uses modern software engineering practices to combine powerful software libraries with a broad range of scripting languages to enable rapid prototyping of image-processing algorithms. Fiji facilitates the transformation of new algorithms into ImageJ plugins that can be shared with end users through an integrated update system. We propose Fiji as a platform for productive collaboration between computer science and biology research communities.
科研通智能强力驱动
Strongly Powered by AbleSci AI