Immunfluorescence microscopy is a valuable tool in the study of skeletal muscle biology. High content imaging allows for the simultaneous measurement of muscle cellular morphology and biomarker quantification. The increasing speed of automated microscopy can result in enormous bioimage datasets. Technology for generating high content images has outpaced the current manual and semi-automatic methods of image analyses. For routine morphometry such as cell size, fiber type, and myonuclear counting, the sheer volume of bioimage data demands full automation.
MyoVision is made freely available to remove the heavy demand on human attention during image analysis. It incorporates and expands upon multiple algorithms specifically developed for skeletal muscle morphormetry to achieve high degrees of accuracy and consistency. Currently, MyoVision Basic v1.0 only includes basic analytical features, supports limited user interactivity, and is restricted to Microsoft Windows. However, MyoVision will act as the foundation of a power analytical platform that will incorporate more advanced features, expand biomarker multiplexing capabilities, and support all operating systems.
Wen Y, Murach KA, Vechetti IJ, Jr., Fry CS, Vickery CD, Peterson CA, McCarthy JJ, and Campbell KS. MyoVision: Software for Automated High-Content Analysis of Skeletal Muscle Immunohistochemistry. J Appl Physiol. jap 00762 02017, 2017.
Cell Detection and Counting
Cell Size Measurement
Fiber Type Classification
If you would like to download the MyoVision Basic Installer Package, please fill out the webform at the following link: MyoVision Basic Downloads Form.
Operating System: Windows 10
CPU: Intel i7-6700K
RAM: 16 GB or more
Please note that MyoVision Basic is intended for the analysis of relatively small images one at a time. Also, typical laptops and desktops may be too slow for large cross sections and high volume analyses. The Center for Muscle Biology provides high performance analysis services. For more information, please see MyoVision Pro.
Fiber Type Demonstration Video