Quantitative high-content profiling of mitochondrial morphology with automated statistical analysis and integrated

My-Anne Hong1, Sophie Charrasse1, Richard E Frye2

  • 1ISEM, UMR5554, Univ Montpellier, CNRS, IRD, Montpellier, France.

Summary

We developed MITOMATICS, an automated system using mitochondrial morphology to detect chemical toxicity. This high-content screening method efficiently identifies cellular damage, offering a new tool for toxicology research.

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