TY - JOUR
T1 - Myo Vision
T2 - Software for automated high-content analysis of skeletal muscle immunohistochemistry
AU - Wen, Yuan
AU - Murach, Kevin A.
AU - Vechetti, Ivan J.
AU - Fry, Christopher S.
AU - Vickery, Chase
AU - Peterson, Charlotte A.
AU - McCarthy, John J.
AU - Campbell, Kenneth S.
N1 - Publisher Copyright:
Copyright © 2018 American Physiological Society. All rights reserved.
PY - 2018/1
Y1 - 2018/1
N2 - Analysis of skeletal muscle cross sections is an important experimental technique in muscle biology. Many aspects of immunohistochemistry and fluorescence microscopy can now be automated, but most image quantification techniques still require extensive human input, slowing progress and introducing the possibility of user bias. MyoVision is a new software package that was developed to overcome these limitations. The software improves upon previously reported automatic techniques and analyzes images without requiring significant human input and correction. When compared with data derived by manual quantification, MyoVision achieves an accuracy of > 94% for basic measurements such as fiber number, fiber type distribution, fiber cross-sectional area, and myonuclear number. Scientists can download the software free from www.MyoVision.org and use it to automate the analysis of their own experimental data. This will improve the efficiency and consistency of the analysis of muscle cross sections and help to reduce the burden of routine image quantification in muscle biology.
AB - Analysis of skeletal muscle cross sections is an important experimental technique in muscle biology. Many aspects of immunohistochemistry and fluorescence microscopy can now be automated, but most image quantification techniques still require extensive human input, slowing progress and introducing the possibility of user bias. MyoVision is a new software package that was developed to overcome these limitations. The software improves upon previously reported automatic techniques and analyzes images without requiring significant human input and correction. When compared with data derived by manual quantification, MyoVision achieves an accuracy of > 94% for basic measurements such as fiber number, fiber type distribution, fiber cross-sectional area, and myonuclear number. Scientists can download the software free from www.MyoVision.org and use it to automate the analysis of their own experimental data. This will improve the efficiency and consistency of the analysis of muscle cross sections and help to reduce the burden of routine image quantification in muscle biology.
KW - Automation software
KW - Cell morphology
KW - High-content microscopy
KW - Image analysis
KW - Skeletal muscle
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U2 - 10.1152/japplphysiol.00762.2017
DO - 10.1152/japplphysiol.00762.2017
M3 - Article
C2 - 28982947
AN - SCOPUS:85043514293
SN - 8750-7587
VL - 124
SP - 40
EP - 51
JO - Journal of Applied Physiology
JF - Journal of Applied Physiology
IS - 1
ER -