Improving quantification of myotube width and nuclear/cytoplasmic ratio in myogenesis research. (March 2023) - Jurberg, Arnon Dias
Highlight: Several image parameters can be used to characterize muscle cells. Manual quantification of muscle image parameters is laborious and subjective. Macros improve and alleviate the laborious routine of measuring muscle features. Two macros were developed to measure muscle fiber width and nuclear/cytoplasm ratio. The macros compensate for myotube elongated shape, large size and multiple nuclei. Abstract: Background and Objective: The culture of skeletal muscle cells is particularly relevant to basic biomedical research and translational medicine. The incubation of dissociated cells under controlled conditions has helped to dissect several molecular mechanisms associated with muscle cell differentiation, in addition to contributing for the evaluation of drug effects and prospective cell therapies for patients with degenerative muscle pathologies. The formation of mature multinucleated myotubes is a stepwise process involving well defined events of cell proliferation, commitment, migration, and fusion easily identified through optical microscopy methods including immunofluorescence and live cell imaging. The characterization of each step is usually based on muscle cell morphology and nuclei number, as well as the presence and intracellular location of specific cell markers. However, manual quantification of these parameters in large datasets of images is work-intensive and prone to researcher's subjectivity, mostly because of the extremely elongated cell shape of large myotubes and because myotubes are multinucleated. Methods: Here we provide two semi-automated ImageJ macros aimed to measure the width of myotubes and the nuclear/cytoplasmic localization of molecules in fluorescence images. The width measuring macro automatically determines the best angle, perpendicular to most cells, to draw a profile plot and identify and measure individual myotubes. The nuclear/cytoplasmic ratio macro compares the intensity values along lines, drawn by the user, over cytoplasm and nucleus. Results: We show that the macro measurements are more consistent than manual measurements by comparing with our own results and with the literature. Conclusions: By relying on semi-automated muscle specific ImageJ macros, we seek to improve measurement accuracy and to alleviate the laborious routine of counting and measuring muscle cell features.