Mytoe: automatic analysis of mitochondrial dynamics.
CONCLUSIONS
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.


BACKGROUND
Source code, Windows software and Manual available at http://www.cs.tut.fi/%7Esanchesr/mito


BACKGROUND
Supplementary data are available at Bioinformatics online.


BACKGROUND
eero.lihavainen@tut.fi; andre.ribeiro@tut.fi.
Department of Signal Processing, Tampere University of Technology, FI-33520 Tampere, Finland. eero.lihavainen@tut.fi
Eero
E
Lihavainen
Jarno
J
Mäkelä
Johannes N
JN
Spelbrink
Andre S
AS
Ribeiro
D045744:Cell Line, Tumor; D016000:Cluster Analysis; D019295:Computational Biology / Q000379:methods; D003196:Computer Graphics; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008856:Microscopy, Fluorescence / Q000379:methods; D008928:Mitochondria / Q000502:physiology*; D012984:Software; D014584:User-Computer Interface