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Mytoe: automatic analysis of mitochondrial dynamics
Author(s) -
Eero Lihavainen,
Jarno Mäkelä,
Johannes N. Spelbrink,
André S. Ribeiro
Publication year - 2012
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/bts073
Subject(s) - computer science , segmentation , cluster analysis , software , mitochondrial dna , artificial intelligence , organelle , source code , pattern recognition (psychology) , computational biology , biological system , biology , genetics , programming language , gene
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.

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