Kumar Akshaya, Yueh Fang-Yu, Singh Jagdish P, Burgess Shane
Mississippi State University, Mississippi State, Mississippi 39762, USA.
Appl Opt. 2004 Oct 1;43(28):5399-403. doi: 10.1364/ao.43.005399.
Cancer diagnosis and classification is extremely complicated and, for the most part, relies on subjective interpretation of biopsy material. Such methods are laborious and in some cases might result in different results depending on the histopathologist doing the examination. Automated, real-time diagnostic procedures would greatly facilitate cancer diagnosis and classification. Laser-induced breakdown spectroscopy (LIBS) is used for the first time to our knowledge to distinguish normal and malignant tumor cells from histological sections. We found that the concentration of trace elements in normal and tumor cells was significantly different. For comparison, the tissue samples were also analyzed by an inductively coupled plasma emission spectroscopy (ICPES) system. The results from the LIBS measurement and ICPES analysis were in good agreement.
癌症的诊断和分类极其复杂,在很大程度上依赖于对活检材料的主观解读。此类方法费力,而且在某些情况下,根据进行检查的组织病理学家不同,可能会得出不同的结果。自动化的实时诊断程序将极大地促进癌症的诊断和分类。据我们所知,首次使用激光诱导击穿光谱法(LIBS)从组织切片中区分正常和恶性肿瘤细胞。我们发现,正常细胞和肿瘤细胞中的微量元素浓度存在显著差异。为作比较,还通过电感耦合等离子体发射光谱(ICPES)系统对组织样本进行了分析。LIBS测量结果与ICPES分析结果高度一致。