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FiNuTyper: Design and validation of an automated deep learning-based platform for simultaneous fiber and nucleus type analysis in human skeletal muscle.

August LundquistEnikő LázárNan S HanEric B EmanuelssonStefan Markus ReitznerMark A ChapmanVera ShirokovaKanar AlkassHenrik DruidSusanne PetriCarl Johan SundbergOlaf Bergmann
Published in: Acta physiologica (Oxford, England) (2023)
In summary, we present an automated image analysis tool for the simultaneous quantification of myofiber and myonuclear types, to characterize the composition and structure of healthy and diseased human skeletal muscle.
Keyphrases
  • skeletal muscle
  • endothelial cells
  • deep learning
  • insulin resistance
  • induced pluripotent stem cells
  • machine learning
  • adipose tissue
  • high throughput
  • metabolic syndrome