Quantitative Evaluation of Both Histological and Mechanical Recovery in Injured Tendons Using Fourier-Transform Second-Harmonic-Generation Microscopy
Quantitative Evaluation of Both Histological and Mechanical Recovery in Injured Tendons Using Fourier-Transform Second-Harmonic-Generation Microscopy
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使用傅里叶变换二次谐波显微镜定量评估受伤肌腱的组织学和机械恢复
DOI：
10.1109/jstqe.2021.3063535
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发表时间：
2021
影响因子：
4.9
通讯作者：
Yasui Takeshi
中科院分区：
文献类型：
--
作者：
Hase Eiji;Minamikawa Takeo;Sato Katsuya;Yonekura Daisuke;Takahashi Mitsuhiko;Yasui Takeshi
肌腱损伤后愈合的定量评估对于骨科实践是重要的。虽然组织学和机械恢复分别通过组织学染色和拉伸试验来评估，但这两种试验都是破坏性和侵入性的，难以应用于单个样品。在这里，作为一种非破坏性和微创的定量评估肌腱愈合的方法，我们应用傅里叶变换二次谐波发生（FT-SHG）显微镜肌腱愈合的动物模型。FT-SHG显微镜能够独立于SHG图像亮度对胶原纤维进行取向分析。提取的FT-SHG参数显示愈合样品和对照样品之间存在显著差异，表明组织学恢复的定量参数的潜力。更重要的是，FT-SHG参数表明与通过相同样品的拉伸测试获得的杨氏模量具有良好的相关性（决定系数，R2= 0.62）。这些结果表明，所提出的方法定量评价肌腱损伤后的组织学和机械恢复的潜力。
Quantitative assessment of healing after tendon injury is important for orthopedic practice. Although histological and mechanical recovery are assessed by histological staining and tensile testing respectively, both tests are destructive and invasive, making it difficult to be applied to single sample. Here, as a non-destructive and less invasive approach for quantitative assessment of tendon healing, we applied Fourier-transform second-harmonic-generation (FT-SHG) microscopy to an animal model of tendon healing. FT-SHG microscopy enables orientation analysis of collagen fibers independently of the SHG image brightness. The extracted FT-SHG parameter showed a significant difference between the healing sample and the control sample, indicating the potential for quantitative parameter of histological recovery. More importantly, the FT-SHG parameter indicated good correlation (coefficient of determination, R2= 0.62) with the Young's modulus obtained by tensile testing of the same sample. These results indicate the potential of the proposed method for quantitative evaluation of both histological and mechanical recovery after tendon injury.
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DOI：
10.1115/1.3138246
发表时间：
1981
期刊：
Journal of biomechanical engineering
影响因子：
--
作者：
Woo,SL;Gomez,MA;Amiel,D;Ritter,MA;Gelberman,RH;Akeson,WH
通讯作者：
Akeson,WH
影响因子：
3.4
作者：
Stoller, P;Reiser, KM;Rubenchik, AM
通讯作者：
Rubenchik, AM
影响因子：
4.6
作者：
Hase E;Sato K;Yonekura D;Minamikawa T;Takahashi M;Yasui T
通讯作者：
Yasui T
用于量化原位 3-D 肌腱细胞和基质应变的新颖图像分析方法。
影响因子：
2.4
作者：
Fung,AshleyK;Paredes,JJ;Andarawis-Puri,Nelly
通讯作者：
Andarawis-Puri,Nelly
影响因子：
3.8
作者：
Yasui, Takeshi;Takahashi, Yu;Araki, Tsutomu
通讯作者：
Araki, Tsutomu