Visualization of quantitative lipid distribution in mouse liver through near-infrared hyperspectral imaging
Visualization of quantitative lipid distribution in mouse liver through near-infrared hyperspectral imaging
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DOI：
10.1364/boe.413712
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发表时间：
2021-02-01
影响因子：
3.4
通讯作者：
Soga, Kohei
中科院分区：
文献类型：
--
作者：
Okubo, Kyohei;Kitagawa, Yuichi;Soga, Kohei
肝脏中的脂质分布为诊断脂肪肝和脂肪肝相关肝癌的严重程度提供了重要信息。因此，一种非侵入性的，无标记的，和定量的方式是热切期待的。我们报告了基于偏最小二乘回归（PLSR）和支持向量回归（SVR）的小鼠肝脏脂质含量的近红外高光谱成像定量可视化。分析结果表明，标准正态变量预处理的SVR比PLSR具有更好的均方根误差（15.3 mg/g）和更高的决定系数（0.97）。利用支持向量回归机实现了小鼠肝脏脂质含量的定量映射。(C)根据OSA开放获取出版协议的条款，2021年美国光学学会
Lipid distribution in the liver provides crucial information for diagnosing the severity of fatty liver and fatty liver-associated liver cancer. Therefore, a noninvasive, label-free, and quantitative modality is eagerly anticipated. We report near-infrared hyperspectral imaging for the quantitative visualization of lipid content in mouse liver based on partial least square regression (PLSR) and support vector regression (SVR). Analysis results indicate that SVR with standard normal variate pretreatment outperforms PLSR by achieving better root mean square error (15.3 mg/g) and higher determination coefficient (0.97). The quantitative mapping of lipid content in the mouse liver is realized using SVR. (C) 2021 Optical Society of America under the terms of the OSA Open Access Publishing Agreement