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Biologia
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Analyzing Mitochondrial Morphology Through Simulation Supervised Learning
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Biologia
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JoVE Journal Biologia
Analyzing Mitochondrial Morphology Through Simulation Supervised Learning

Analyzing Mitochondrial Morphology Through Simulation Supervised Learning

DOI:
10.3791/64880-v

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12:06 min

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March 03, 2023

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, , , , , , ,
1Department of Computer Science,UiT The Arctic University of Norway, 2Department of Clinical Medicine,UiT The Arctic University of Norway, 3Department of Physics and Technology,UiT The Arctic University of Norway, 4Division of Cardiothoracic and Respiratory Medicine,University Hospital of North Norway

Capítulos

  • 00:11Introduction
  • 02:16Cell Culture
  • 02:47Experimental Procedure
  • 03:29Staining and Mounting of Cells on Cover Slips
  • 04:15Microscopy and Imaging
  • 04:51Generating Simulated Training Data
  • 07:02Deep Learning Based Segmentation
  • 08:58Morphological Analysis
  • 10:09Resultados
  • 11:42Conclusion

Summary

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This article explains how to use simulation-supervised machine learning for analyzing mitochondria morphology in fluorescence microscopy images of fixed cells.

Tags

Keywords: Mitochondrial MorphologySimulation Supervised LearningMicroscopy Image AnalysisMitochondria SegmentationDeep LearningCCCP TreatmentCardiomyoblasts

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