Laboratory for Spectral Diagnosis (LSpD), Department of Chemistry and Chemical Biology, Northeastern University, 360 Huntington Avenue, Boston, USA.
Analyst. 2009 Jun;134(6):1067-76. doi: 10.1039/b821166c. Epub 2009 Apr 1.
We report the ability of infrared micro-spectral imaging, coupled with completely unsupervised methods of multivariate statistical analysis, to accurately reproduce the histological architecture of axillary lymph nodes and detect metastatic breast cancer cells. The acquisition of spectral data from tissue embedded in paraffin provided spectra free of dispersive artefacts that may be observed for infrared microscopic measurements using a 'reflection/absorption' methodology. As a consequence, superior tissue classification and identification of cellular abnormality unattainable for deparaffinised tissue was achieved.
我们报告了红外显微光谱成像的能力，结合完全无监督的多元统计分析方法，能够准确再现腋窝淋巴结的组织学结构并检测转移性乳腺癌细胞。从石蜡包埋的组织中获取光谱数据，提供了无分散伪影的光谱，这些伪影可能会在使用“反射/吸收”方法的红外显微镜测量中观察到。因此，实现了对组织的更好分类和对未经去石蜡化组织无法实现的细胞异常的识别。
