Analysis of muscle tissue in vivo using fiber-optic autofluorescence and diffuse reflectance spectroscopy
Autor: | Christopher J. Davey, Emily R. Vasiljevski, Alexandra K. O’Donohue, Simon C. Fleming, Aaron Schindeler |
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Rok vydání: | 2021 |
Předmět: |
Paper
muscular dystrophy Principal Component Analysis muscle Muscles Spectrum Analysis Biomedical Engineering Atomic and Molecular Physics and Optics autofluorescence spectroscope diffuse reflectance spectroscopy Electronic Optical and Magnetic Materials in vivo fiber-optics Biomaterials in vivo spectroscopy Mice Mice Inbred mdx Animals Fiber Optic Technology General myopathy |
Zdroj: | Journal of Biomedical Optics |
ISSN: | 1083-3668 |
DOI: | 10.1117/1.jbo.26.12.125001 |
Popis: | Significance: Current methods for analyzing pathological muscle tissue are time consuming and rarely quantitative, and they involve invasive biopsies. Faster and less invasive diagnosis of muscle disease may be achievable using marker-free in vivo optical sensing methods. Aim: It was speculated that changes in the biochemical composition and structure of muscle associated with pathology could be measured quantitatively using visible wavelength optical spectroscopy techniques enabling automated classification. Approach: A fiber-optic autofluorescence (AF) and diffuse reflectance (DR) spectroscopy device was manufactured. The device and data processing techniques based on principal component analysis were validated using in situ measurements on healthy skeletal and cardiac muscle. These methods were then applied to two mouse models of genetic muscle disease: a type 1 neurofibromatosis (NF1) limb-mesenchyme knockout (Nf1Prx1−/−) and a muscular dystrophy mouse (mdx). Results: Healthy skeletal and cardiac muscle specimens were separable using AF and DR with receiver operator curve areas (ROC-AUC) of >0.79. AF and DR analyses showed optically separable changes in Nf1Prx1−/− quadriceps muscle (ROC-AUC >0.97) with no differences detected in the heart (ROC-AUC |
Databáze: | OpenAIRE |
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