MuscleJ: a high-content analysis method to study skeletal muscle with a new Fiji tool

MuscleJ:一种使用新 Fiji 工具研究骨骼肌的高内涵分析方法

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作者:Alicia Mayeuf-Louchart, David Hardy, Quentin Thorel, Pascal Roux, Lorna Gueniot, David Briand, Aurélien Mazeraud, Adrien Bouglé, Spencer L Shorte, Bart Staels, Fabrice Chrétien, Hélène Duez, Anne Danckaert

Background

Skeletal muscle has the capacity to adapt to environmental changes and regenerate upon injury. To study these processes, most experimental

Conclusion

We report here that MuscleJ results were comparable to manual observations made by five experts. MuscleJ markedly enhances statistical analysis by allowing reliable comparison of skeletal muscle physiology-pathology results obtained from different laboratories using different acquisition systems. Providing fast robust multi-parameter analyses of skeletal muscle physiology-pathology, MuscleJ is available as a free tool for the skeletal muscle community.

Methods

Running on the popular open source Fiji software platform, MuscleJ simultaneously analyzes parameters from immunofluorescent staining, imaged by different acquisition systems in a completely automated manner.

Results

After segmentation of muscle fibers, up to three other channels can be analyzed simultaneously. Dialog boxes make MuscleJ easy-to-use for biologists. In addition, we have implemented color in situ cartographies of results, allowing the user to directly visualize results on reconstituted muscle sections.

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