ViaFuse: Fiji macros to calculate skeletal muscle cell viability and fusion index
Abstract Background Measuring biological features of skeletal muscle cells is difficult because of their unique morphology and multinucleate nature upon differentiation. Here, we developed a new Fiji macro package called ViaFuse (that stands for viability and fusion) to measure skeletal muscle cell...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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BMC
2021-12-01
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| Series: | Skeletal Muscle |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s13395-021-00284-3 |
| _version_ | 1819009643682201600 |
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| author | Emma Rose Hinkle Tasneem Omar Essader Gabrielle Marie Gentile Jimena Giudice |
| author_facet | Emma Rose Hinkle Tasneem Omar Essader Gabrielle Marie Gentile Jimena Giudice |
| author_sort | Emma Rose Hinkle |
| collection | DOAJ |
| description | Abstract Background Measuring biological features of skeletal muscle cells is difficult because of their unique morphology and multinucleate nature upon differentiation. Here, we developed a new Fiji macro package called ViaFuse (that stands for viability and fusion) to measure skeletal muscle cell viability and differentiation. To test ViaFuse, we utilized immunofluorescence images of differentiated myotubes where the capping actin protein of muscle z-line subunit beta (CAPZB) was depleted in comparison with control cells. Results We compared the values achieved using the ViaFuse macros first with manual quantification performed by researchers and second with those obtained utilizing the MATLAB muscle-centric software MyoCount. We observed a high degree of correlation between all methods of quantification. Conclusions 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. |
| first_indexed | 2024-12-21T00:59:38Z |
| format | Article |
| id | doaj.art-1a140502314f4b2bba1f152ab9a1b438 |
| institution | Directory Open Access Journal |
| issn | 2044-5040 |
| language | English |
| last_indexed | 2024-12-21T00:59:38Z |
| publishDate | 2021-12-01 |
| publisher | BMC |
| record_format | Article |
| series | Skeletal Muscle |
| spelling | doaj.art-1a140502314f4b2bba1f152ab9a1b4382022-12-21T19:21:13ZengBMCSkeletal Muscle2044-50402021-12-0111111310.1186/s13395-021-00284-3ViaFuse: Fiji macros to calculate skeletal muscle cell viability and fusion indexEmma Rose Hinkle0Tasneem Omar Essader1Gabrielle Marie Gentile2Jimena Giudice3Department of Cell Biology and Physiology, School of Medicine, The University of North Carolina at Chapel HillDepartment of Cell Biology and Physiology, School of Medicine, The University of North Carolina at Chapel HillDepartment of Cell Biology and Physiology, School of Medicine, The University of North Carolina at Chapel HillDepartment of Cell Biology and Physiology, School of Medicine, The University of North Carolina at Chapel HillAbstract Background Measuring biological features of skeletal muscle cells is difficult because of their unique morphology and multinucleate nature upon differentiation. Here, we developed a new Fiji macro package called ViaFuse (that stands for viability and fusion) to measure skeletal muscle cell viability and differentiation. To test ViaFuse, we utilized immunofluorescence images of differentiated myotubes where the capping actin protein of muscle z-line subunit beta (CAPZB) was depleted in comparison with control cells. Results We compared the values achieved using the ViaFuse macros first with manual quantification performed by researchers and second with those obtained utilizing the MATLAB muscle-centric software MyoCount. We observed a high degree of correlation between all methods of quantification. Conclusions 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.https://doi.org/10.1186/s13395-021-00284-3Skeletal muscleMyogenesisSkeletal muscle cell softwareC2C12 cell differentiation quantificationFusion index |
| spellingShingle | Emma Rose Hinkle Tasneem Omar Essader Gabrielle Marie Gentile Jimena Giudice ViaFuse: Fiji macros to calculate skeletal muscle cell viability and fusion index Skeletal Muscle Skeletal muscle Myogenesis Skeletal muscle cell software C2C12 cell differentiation quantification Fusion index |
| title | ViaFuse: Fiji macros to calculate skeletal muscle cell viability and fusion index |
| title_full | ViaFuse: Fiji macros to calculate skeletal muscle cell viability and fusion index |
| title_fullStr | ViaFuse: Fiji macros to calculate skeletal muscle cell viability and fusion index |
| title_full_unstemmed | ViaFuse: Fiji macros to calculate skeletal muscle cell viability and fusion index |
| title_short | ViaFuse: Fiji macros to calculate skeletal muscle cell viability and fusion index |
| title_sort | viafuse fiji macros to calculate skeletal muscle cell viability and fusion index |
| topic | Skeletal muscle Myogenesis Skeletal muscle cell software C2C12 cell differentiation quantification Fusion index |
| url | https://doi.org/10.1186/s13395-021-00284-3 |
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