mouse myoblast cell line c2c12 59  (ATCC)

Journal: bioRxiv

Article Title: MyoFuse: A fully AI-based workflow for automated quantification of skeletal muscle cell fusion in vitro

doi: 10.1101/2025.02.17.638596

Figure Lengend Snippet: Superposition of myoblast nuclei and MyHC signal leads to a biased assessment of the myogenic FI. Images of mouse C2C12 (A) and human primary myotubes derived from rectus abdominis (D) with MyHC and Hoechst staining (Wide-field microscope – 10x). Corresponding zones with orthogonal representations in mouse C2C12 (B-C) and human primary (E) myotubes (Confocal microscope - 64x).

Article Snippet: The C2C12 mouse myoblast cell line was obtained from the American Type Culture Collection (CRL-1772TM, ATCC, Manassas, VA).

Techniques: Derivative Assay, Staining, Microscopy

Journal: bioRxiv

Article Title: MyoFuse: A fully AI-based workflow for automated quantification of skeletal muscle cell fusion in vitro

doi: 10.1101/2025.02.17.638596

Figure Lengend Snippet: Validation of MyoFuse against manual quantification. Total number of detected nuclei by the workflow compared to manual quantification in mouse C2C12 (A) and human primary myotubes from rectus abdominis (B). Comparison between FI computed by the workflow compared to manual analysis in mouse C2C12 (C) and human primary (D) myotubes (n = 15 images per cell types).

Article Snippet: The C2C12 mouse myoblast cell line was obtained from the American Type Culture Collection (CRL-1772TM, ATCC, Manassas, VA).

Techniques: Comparison

Journal: bioRxiv

Article Title: MyoFuse: A fully AI-based workflow for automated quantification of skeletal muscle cell fusion in vitro

doi: 10.1101/2025.02.17.638596

Figure Lengend Snippet: Confusion matrix assessing the accuracy of MyoFuse classification versus manual annotations. Automated predictions of nuclei classification with MyoFuse were compared with manual annotations in C2C12 mouse myotubes (A) and human primary myotubes (B).

Article Snippet: The C2C12 mouse myoblast cell line was obtained from the American Type Culture Collection (CRL-1772TM, ATCC, Manassas, VA).

Techniques:

Journal: bioRxiv

Article Title: MyoFuse: A fully AI-based workflow for automated quantification of skeletal muscle cell fusion in vitro

doi: 10.1101/2025.02.17.638596

Figure Lengend Snippet: Assessment of the concordance of MyoFuse with the myotube masking method. Bland-Altman plots comparing FI obtained with MyoFuse to values obtained with the myotube mask classification method for mouse C2C12 (A) and human primary (B) myotubes. Ratio between the two methods is plotted against the average value. Dashed lines represent mean bias value ± 1.96 SD. Relation between myotube surface obtained using a fluorescence thresholding and FI with both methods, in mouse C2C12 (C) and human primary (D) myotubes (n = 80 images per cell types).

Article Snippet: The C2C12 mouse myoblast cell line was obtained from the American Type Culture Collection (CRL-1772TM, ATCC, Manassas, VA).

Techniques: Fluorescence

Journal: bioRxiv

Article Title: MyoFuse: A fully AI-based workflow for automated quantification of skeletal muscle cell fusion in vitro

doi: 10.1101/2025.02.17.638596

Figure Lengend Snippet: Accurate FI quantification requires a very high number of nuclei. Large mouse C2C12 myotube image (MyHC staining) used for subsequent analyses (A). This corresponds to the central part of a 24-well plate well (50% of the well surface). Heatmap of the FI values obtained for each individual tiles composing the image (B). Heatmap of the relative difference of FI measured in each individual tiles compared to the mean values of the image (C). Evolution of the normalized FI standard deviation when randomly selecting a growing number of tiles in the well for FI quantification (D).

Article Snippet: The C2C12 mouse myoblast cell line was obtained from the American Type Culture Collection (CRL-1772TM, ATCC, Manassas, VA).

Techniques: Staining, Standard Deviation