Mytoe：线粒体动态的自动分析。
Mytoe: automatic analysis of mitochondrial dynamics.
机构信息
Department of Signal Processing, Tampere University of Technology, FI-33520 Tampere, Finland.
出版信息
Bioinformatics. 2012 Apr 1;28(7):1050-1. doi: 10.1093/bioinformatics/bts073. Epub 2012 Feb 9.
SUMMARY
We present Mytoe, a tool for analyzing mitochondrial morphology and dynamics from fluorescence microscope images. The tool provides automated quantitative analysis of mitochondrial motion by optical flow estimation and of morphology by segmentation of individual branches of the network-like structure of the organelles. Mytoe quantifies several features of individual branches, such as length, tortuosity and speed, and of the macroscopic structure, such as mitochondrial area and degree of clustering. We validate the methods and apply them to the analysis of sequences of images of U2OS human cells with fluorescently labeled mitochondria.
AVAILABILITY
Source code, Windows software and Manual available at http://www.cs.tut.fi/%7Esanchesr/mito
SUPPLEMENTARY INFORMATION
Supplementary data are available at Bioinformatics online.
CONTACT
摘要
我们介绍了 Mytoe，这是一种用于分析荧光显微镜图像中线粒体形态和动态的工具。该工具通过光流估计对线粒体运动进行自动定量分析，并通过对细胞器网络状结构的各个分支进行分割对形态进行分析。Mytoe 定量分析了各个分支的长度、扭曲度和速度等特征，以及宏观结构的特征，如线粒体面积和聚类程度。我们验证了这些方法，并将其应用于对带有荧光标记线粒体的 U2OS 人细胞图像序列的分析。
可用性
源代码、Windows 软件和手册可在 http://www.cs.tut.fi/%7Esanchesr/mito 获得。
补充信息
补充数据可在 Bioinformatics 在线获得。
Zotero 插件