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Analyse af mitokondriemorfologi gennem simuleringsovervåget læring
JoVE Journal
Biology
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JoVE Journal Biology
Analyzing Mitochondrial Morphology Through Simulation Supervised Learning

Analyse af mitokondriemorfologi gennem simuleringsovervåget læring

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

Chapters

  • 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
  • 10:09Results
  • 11:42Conclusion

Summary

Automatic Translation

Automatic Translation

Denne artikel forklarer, hvordan man bruger simulationsovervåget maskinlæring til analyse af mitokondriermorfologi i fluorescensmikroskopibilleder af faste celler.

Tags

Keywords: Mitochondrial MorphologySimulation Supervised LearningMicroscopy Image AnalysisMitochondria SegmentationDeep LearningCCCP TreatmentCardiomyoblasts

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