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Near infrared diffuse reflection and laser-induced fluorescence spectroscopy for myocardial tissue characterisation

机译:近红外漫反射和激光诱导荧光光谱用于心肌组织表征

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In order to evaluate the potential of cardiovascular tissue characterisation using near-infrared (NIR) spectroscopy. spectra in a previously unexplored wavelength region 0.8-2.3 mum were recorded from various pig heart tissue samples in vitro: normalmyocardium (with and without endo epicardium), aorta, fatty and fibrous heart tissue. The spectra were analysed with principal component analysis (PCA). revealing several spectroscopically characteristic features enabling tissue classification. Several of the identified spectral features could be attributed to specific tissue constituents by comparing the tissue signals with spectra obtained from water, elastin. collagen and cholesterol as well as with published data. The results obtained with the NIR spectroscopy technique in terms of its potential to classify different tissue types were compared with those from laser-induced fluorescence (LIF) using 337 nm excitation. LIF and NIR spectroscopy can in combination with PGA be used to discriminate between all previously mentioned tissue groups, apart from fatty versus fibrous tissue (LIF) and aorta versus fibrous tissue (NIR). respectively. The NIR analysis was improved by focusing the PCA to the wavelength segment 2.0-2.3 mum. resulting in successful spectral characterisation of all cardiovascular tissue groups.
机译:为了评估使用近红外(NIR)光谱法进行心血管组织表征的潜力。在体外从各种猪心脏组织样品中记录了以前未探索的0.8-2.3 mm波长范围内的光谱:正常心肌(有或没有内膜心外膜),主动脉,脂肪和纤维性心脏组织。用主成分分析(PCA)分析光谱。揭示了几种能实现组织分类的光谱特征。通过将组织信号与从水,弹性蛋白获得的光谱进行比较,可以将某些已识别的光谱特征归因于特定的组织成分。胶原蛋白和胆固醇以及公开数据。使用NIR光谱技术对不同组织类型进行分类的潜力与使用337 nm激发的激光诱导荧光(LIF)的结果进行了比较。 LIF和NIR光谱可以与PGA结合使用,以区分所有先前提到的组织组,脂肪组织与纤维组织(LIF)和主动脉组织与纤维组织(NIR)除外。分别。通过将PCA聚焦在2.0-2.3微米的波长段可以改善NIR分析。从而成功地对所有心血管组织组进行了光谱表征。

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