ArticleScientific reports2021
Automated image segmentation method to analyse skeletal muscle cross section in exercise-induced regenerating myofibers.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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20 citing papers in PubMed, 49 citations in OpenAlex.
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- High-intensity interval training alleviates STZ-induced muscle atrophy by restoration of nuclear positioning defects in C57BL/6 male mice.Scientific reports · 2025Article
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- Quantifying the recovery process of skeletal muscle on hematoxylin and eosin stained images via learning from label proportion.Scientific reports · 2024Article
- Treadmill training impacts the skeletal muscle molecular clock after ischemia stroke in rats.Heliyon · 2024Article
- Dietary supplementation with inulin improves burn-induced skeletal muscle atrophy by regulating gut microbiota disorders.Scientific reports · 2024Article
- MyoV: a deep learning-based tool for the automated quantification of muscle fibers.Briefings in bioinformatics · 2024Article
- MF-Net: Automated Muscle Fiber Segmentation From Immunofluorescence Images Using a Local-Global Feature Fusion Network.Journal of digital imaging · 2023Article
- Moderate Intensity of Treadmill Exercise Rescues TBI-Induced Ferroptosis, Neurodegeneration, and Cognitive Impairments via Suppressing STING Pathway.Molecular neurobiology · 2023Article
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- Exercise mitigates Dapagliflozin-induced skeletal muscle atrophy in STZ-induced diabetic rats.Diabetology & metabolic syndrome · 2023Article
- An alternative mechanism for skeletal muscle dysfunction in long-term post-viral lung disease.American journal of physiology. Lung cellular and molecular physiology · 2023Article
- Overexpressing lnc240 Rescues Learning and Memory Dysfunction in Hepatic Encephalopathy Through miR-1264-5p/MEF2C Axis.Molecular neurobiology · 2023Article
- Artificial intelligence workflow quantifying muscle features on Hematoxylin-Eosin stained sections reveals dystrophic phenotype amelioration upon treatment.Scientific reports · 2022Article
- Analysis of invasiveness and tumor-associated macrophages infiltration in solid pseudopapillary tumors of pancreas.World journal of gastroenterology · 2022Article
- Effects of lactate administration on hypertrophy and mTOR signaling activation in mouse skeletal muscle.Physiological reports · 2022Article
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Skeletal muscle is an adaptive tissue with the ability to regenerate in response to exercise training. Cross-sectional area (CSA) quantification, as a main parameter to assess muscle regeneration capability, is highly tedious and time-consuming, necessitating an accurate and automated approach to analysis. Although several excellent programs are available to automate analysis of muscle histology, they fail to efficiently and accurately measure CSA in regenerating myofibers in response to exercise training. Here, we have developed a novel fully-automated image segmentation method based on neutrosophic set algorithms to analyse whole skeletal muscle cross sections in exercise-induced regenerating myofibers, referred as MyoView, designed to obtain accurate fiber size and distribution measurements. MyoView provides relatively efficient, accurate, and reliable measurements for CSA quantification and detecting different myofibers, myonuclei and satellite cells in response to the post-exercise regenerating process. We showed that MyoView is comparable with manual quantification. We also showed that MyoView is more accurate and efficient to measure CSA in post-exercise regenerating myofibers as compared with Open-CSAM, MuscleJ, SMASH and MyoVision. Furthermore, we demonstrated that to obtain an accurate CSA quantification of exercise-induced regenerating myofibers, whole muscle cross-section analysis is an essential part, especially for the measurement of different fiber-types. We present MyoView as a new tool to quantify CSA, myonuclei and satellite cells in skeletal muscle from any experimental condition including exercise-induced regenerating myofibers.
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