University of Wisconsin - Milwaukee, Department of Physics, 1900 East Kenwood Boulevard, Milwaukee, Wisconsin 53211, USA.
J Biomed Opt. 2011 Feb;16(2):021116. doi: 10.1117/1.3541796.
Coherent Raman microspectroscopy imaging is an emerging technique for noninvasive, chemically specific optical imaging, which can be potentially used to analyze the chemical composition and its distribution in biological tissues. In this report, a hierarchical cluster analysis was applied to hyperspectral coherent anti-Stokes Raman imaging of different chemical species through a turbid medium. It was demonstrated that by using readily available commercial software (Cytospec, Inc.) and cluster analysis, distinct chemical species can be imaged and identified through a rather thick layer of scattering medium. Once the clusters of different chemical composition were distinguished, a phase retrieval algorithm was used to convert coherent anti-Stokes Raman spectra to Raman spectra, which were used for chemical identification of hidden microscopic objects. In particular, applications to remote optical sensing of potential biological threats and to imaging through a layer of skin tissue were successfully demonstrated.
相干拉曼微光谱成像是一种新兴的非侵入式、化学特异性光学成像技术，可用于分析生物组织中的化学成分及其分布。在本报告中，通过混浊介质对不同化学物质的超光谱相干反斯托克斯拉曼成像进行了层次聚类分析。结果表明，通过使用现成的商业软件（Cytospec，Inc.）和聚类分析，可以在相当厚的散射介质层中对不同的化学物质进行成像和识别。一旦区分出不同化学成分的聚类，就可以使用相位恢复算法将相干反斯托克斯拉曼光谱转换为拉曼光谱，用于对隐藏微观物体进行化学识别。特别地，成功地演示了在潜在生物威胁的远程光学传感和通过皮肤组织层的成像中的应用。
