ArticleJournal of biomedical optics2013
Quantitative evaluation of skeletal muscle defects in second harmonic generation images.
Article in Journal of biomedical optics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- Detyrosinated microtubule arrays drive myofibrillar malformations inFrontiers in cell and developmental biology · 2023Article
- Second Harmonic Generation Morphometry of Muscle Cytoarchitecture in Living Cells.Methods in molecular biology (Clifton, N.J.) · 2023Article
- An integrated multiomic and quantitative label-free microscopy-based approach to study pro-fibrotic signalling inThe European respiratory journal · 2021Article
- Passive stiffness of fibrotic skeletal muscle in mdx mice relates to collagen architecture.The Journal of physiology · 2021Article
- An advanced optical clearing protocol allows label-free detection of tissue necrosisTheranostics · 2021Article
- X-ray diffraction and second harmonic imaging reveal new insights into structural alterations caused by pressure-overload in murine hearts.Scientific reports · 2020Article
- Characterization and utilization of the flexor digitorum brevis for assessing skeletal muscle function.Skeletal muscle · 2018Article
- Optical prediction of single muscle fiber force production using a combined biomechatronics and second harmonic generation imaging approach.Light, science & applications · 2018Article
- Quantitative, Label-Free Evaluation of Tissue-Engineered Skeletal Muscle Through Multiphoton Microscopy.Tissue engineering. Part C, Methods · 2017Article
- Changes in sarcomere lengths of the human vastus lateralis muscle with knee flexion measured using in vivo microendoscopy.Journal of biomechanics · 2016Article
- Functional second harmonic generation microscopy probes molecular dynamics with high temporal resolution.Biomedical optics express · 2016Article
- Skeletal Muscle Tissue Clearing for LacZ and Fluorescent Reporters, and Immunofluorescence Staining.Methods in molecular biology (Clifton, N.J.) · 2016Article
- Resolution and contrast enhancement of subtractive second harmonic generation microscopy with a circularly polarized vortex beam.Scientific reports · 2015Article
- Muscle quality in aging: a multi-dimensional approach to muscle functioning with applications for treatment.Sports medicine (Auckland, N.Z.) · 2015Review
- A non-invasive method to assess cerebral perfusion pressure in geriatric patients with suspected cerebrovascular disease.PloS one · 2015Article
- A new directionality tool for assessing microtubule pattern alterations.Cytoskeleton (Hoboken, N.J.) · 2014Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Skeletal muscle pathologies cause irregularities in the normally periodic organization of the myofibrils. Objective grading of muscle morphology is necessary to assess muscle health, compare biopsies, and evaluate treatments and the evolution of disease. To facilitate such quantitation, we have developed a fast, sensitive, automatic imaging analysis software. It detects major and minor morphological changes by combining texture features and Fourier transform (FT) techniques. We apply this tool to second harmonic generation (SHG) images of muscle fibers which visualize the repeating myosin bands. Texture features are then calculated by using a Haralick gray-level cooccurrence matrix in MATLAB. Two scores are retrieved from the texture correlation plot by using FT and curve-fitting methods. The sensitivity of the technique was tested on SHG images of human adult and infant muscle biopsies and of mouse muscle samples. The scores are strongly correlated to muscle fiber condition. We named the software MARS (muscle assessment and rating scores). It is executed automatically and is highly sensitive even to subtle defects. We propose MARS as a powerful and unbiased tool to assess muscle health.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.