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Related Experiment Video

Updated: Nov 2, 2025

Imaging and Quantifying Mitochondrial Morphology in C. elegans During Aging
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A hitchhiker's guide to mitochondrial quantification.

Irene M G M Hemel1, Bob P H Engelen1, Nicole Luber1

  • 1Maastricht Centre for Systems Biology (MaCSBio), Maastricht University, Maastricht, the Netherlands.

Mitochondrion
|June 8, 2021
PubMed
Summary

Selecting the right mitochondrial quantification tool is challenging. The Mitochondrial Analyzer, using adaptive thresholding, accurately quantifies mitochondrial network morphology, outperforming other ImageJ tools.

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Area of Science:

  • Cell Biology
  • Biophysics
  • Bioinformatics

Background:

  • Accurate mitochondrial quantification is crucial for understanding cellular function and disease.
  • Numerous open-source ImageJ tools exist, but their reliability for mitochondrial network morphology analysis varies.
  • Selecting the optimal tool for precise mitochondrial quantification remains a challenge for researchers.

Purpose of the Study:

  • To evaluate and compare the performance of five open-source ImageJ tools for mitochondrial network morphology quantification.
  • To identify the most accurate and reliable tool for analyzing mitochondrial structures.
  • To assess the capability of these tools in distinguishing mitochondrial morphology differences.

Main Methods:

  • Comparative analysis of five open-source ImageJ quantification tools.
Keywords:
Image analysisImageJMitochondriaMitochondrial dynamicsMitochondrial quantification

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  • Assessment of mitochondrial structure clustering and segregation accuracy.
  • Evaluation of adaptive versus global thresholding methods.
  • Validation of tool performance in identifying mitochondrial morphology variations.

    • Main Results:

    • Four out of five tools exhibited excessive clustering of mitochondrial structures due to global thresholding.
    • The Mitochondrial Analyzer, employing adaptive thresholding, demonstrated superior performance.
    • Accurate segregation and identification of mitochondrial structures were achieved by the Mitochondrial Analyzer.
    • The Mitochondrial Analyzer successfully differentiated between various mitochondrial morphologies.

    Conclusions:

    • The Mitochondrial Analyzer is the most reliable open-source tool for mitochondrial network morphology quantification.
    • Adaptive thresholding is critical for accurate mitochondrial structure analysis, avoiding clustering artifacts.
    • Researchers can confidently use the Mitochondrial Analyzer for precise mitochondrial morphology studies.