Detecting and tracking the tips of fluorescently labeled mitochondria in U2OS cells

Eero Lihavainen, Jarno Mäkelä, Johannes N. Spelbrink, Andre S. Ribeiro

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review


    We present a method for automatically detecting the tips of fluorescently labeled mitochondria. The method is based on a Random Forest classifier, which is trained on small patches extracted from confocal microscope images of U2OS human osteosarcoma cells. We then adopt a particle tracking framework for tracking the detected tips, and quantify the tracking accuracy on simulated data. Finally, from images of U2OS cells, we quantify changes in mitochondrial mobility in response to the disassembly of microtubules via treatment with Nocodazole. The results show that our approach provides efficient tracking of the tips of mitochondria, and that it enables the detection of disease-associated changes in mitochondrial motility.

    Original languageEnglish
    Title of host publicationImage Analysis and Processing — ICIAP 2015
    Subtitle of host publication18th International Conference, Genoa, Italy, September 7-11, 2015, Proceedings, Part II
    PublisherSpringer Verlag
    Number of pages10
    ISBN (Print)9783319232331
    Publication statusPublished - 2015
    Publication typeA4 Article in conference proceedings
    EventInternational Conference on Image Analysis and Processing -
    Duration: 1 Jan 1900 → …

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349


    ConferenceInternational Conference on Image Analysis and Processing
    Period1/01/00 → …


    • Detection
    • Image analysis
    • Mitochondria
    • Tracking

    Publication forum classification

    • Publication forum level 1

    ASJC Scopus subject areas

    • Computer Science(all)
    • Theoretical Computer Science


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