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ViaFuse: Fiji macros to calculate skeletal muscle cell viability and fusion index.

Emma Rose HinkleTasneem Omar EssaderGabrielle Marie GentileHannah J Wiedner
Published in: Skeletal muscle (2021)
ViaFuse can detect the borders of myotubes and identify nuclear clumps which have been limitations of previous muscle-centric imaging software. The ViaFuse macros require little computer power or space to run and user inputs to the ViaFuse macros are minimal, thereby automating the analysis process in a quick, easy, and accurate fashion. Additionally, the ViaFuse macros work with Fiji, an existing imaging software widely used by skeletal muscle researchers. Furthermore, ViaFuse is compatible with many computer systems, has a very intuitive interface, and does not require prior complex mathematical knowledge. Therefore, we propose ViaFuse as a robust and meticulous method to quantify skeletal muscle cell viability and differentiation.
Keyphrases
  • skeletal muscle
  • high resolution
  • insulin resistance
  • deep learning
  • healthcare
  • machine learning
  • fluorescence imaging