基于主成分分析的皮秒谱相干反斯托克斯拉曼散射成像在睑板腺中的应用。
Picosecond spectral coherent anti-Stokes Raman scattering imaging with principal component analysis of meibomian glands.
机构信息
University of California, Irvine, Department of Chemistry and Beckman Laser Institute, Irvine, California 92697, USA.
出版信息
J Biomed Opt. 2011 Feb;16(2):021104. doi: 10.1117/1.3533716.
Abstract
The lipid distribution in the mouse meibomian gland was examined with picosecond spectral anti-Stokes Raman scattering (CARS) imaging. Spectral CARS data sets were generated by imaging specific localized regions of the gland within tissue sections at consecutive Raman shifts in the CH(2) stretching vibrational range. Spectral differences between the location specific CARS spectra obtained in the lipid-rich regions of the acinus and the central duct were observed, which were confirmed with a Raman microspectroscopic analysis, and attributed to meibum lipid modifications within the gland. A principal component analysis of the spectral data set reveals changes in the CARS spectrum when transitioning from the acini to the central duct. These results demonstrate the utility of picosecond spectral CARS imaging combined with multivariate analysis for assessing differences in the distribution and composition of lipids in tissues.
摘要
采用皮秒频域反斯托克斯拉曼散射（CARS）成像技术研究了小鼠睑板腺的脂质分布。通过在组织切片中对腺泡和中央导管内特定的局域区域进行成像，获得了在 CH(2)伸缩振动范围内连续拉曼位移处的频域 CARS 数据。在富含脂质的腺泡区域和中央导管的位置特异性 CARS 光谱之间观察到了光谱差异，这通过拉曼微光谱分析得到了证实，并归因于腺体中类脂物的修饰。对光谱数据集的主成分分析显示，从腺泡到中央导管时 CARS 光谱发生了变化。这些结果表明，皮秒频域 CARS 成像与多元分析相结合可用于评估组织中脂质分布和组成的差异。
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