Gilles Jean-François, Dos Santos Marc, Boudier Thomas, Bolte Susanne, Heck Nicolas
Sorbonne Universités, UPMC Univ Paris 06, CNRS, Core Facility - Institut de Biologie Paris Seine (IBPS), 75005 Paris, France.
Sorbonne Universités, UPMC Univ Paris 06, INSERM, CNRS, Neurosciences Paris Seine - Institut de Biologie Paris Seine (NPS - IBPS), 75005 Paris, France.
Methods. 2017 Feb 15;115:55-64. doi: 10.1016/j.ymeth.2016.11.016. Epub 2016 Nov 24.
We present a new plugin for ImageJ called DiAna, for Distance Analysis, which comes with a user-friendly interface. DiAna proposes robust and accurate 3D segmentation for object extraction. The plugin performs automated object-based co-localization and distance analysis. DiAna offers an in-depth analysis of co-localization between objects and retrieves 3D measurements including co-localizing volumes and surfaces of contact. It also computes the distribution of distances between objects in 3D. With DiAna, we furthermore introduce an original method, which allows for estimating the statistical significance of object co-localization. DiAna offers a complete and intuitive 3D image analysis tool for biologists.
我们展示了一款用于ImageJ的名为DiAna（距离分析）的新插件，它具有用户友好的界面。DiAna为对象提取提供强大且准确的三维分割。该插件执行基于对象的自动共定位和距离分析。DiAna对对象之间的共定位进行深入分析，并获取三维测量结果，包括共定位体积和接触表面。它还计算三维中对象之间距离的分布。借助DiAna，我们还引入了一种原创方法，可用于估计对象共定位的统计显著性。DiAna为生物学家提供了一个完整且直观的三维图像分析工具。
