将创建基于多模式成像的新组织分类方法用于对抗基底细胞癌。人体中最多的恶性肿瘤。基底细胞癌是人体中最多的恶性肿瘤。这种疾病可表现出基于不同细胞生物学基础的不同形态。
此外，这种癌症嵌在周围的皮肤中，肉眼无法看到起生长。因此，在某些情况下，这种癌症的临床检测是一项挑战。Jürgen Popp及其来自德国耶拿Institute of Photonic Technology及瑞典Lund University Hospital的同事希望创建一种基于多模式成像的非监督组织分类法。化学计量学将被用于区分基底细胞癌和非病变组织。现在，他们提出一个案例研究。这个案例研究结合应用各种线性和非线性成像方式，如荧光、拉曼和二次谐波产生显微术，研究活体外解剖中基底细胞癌的形态化学。
这种新方法引出对样本的形态化学探讨。虽然结构特征（即胶原蛋白结构的存在）可通过SHG显微术选择性地记录下来，单分子和双分子荧光揭示了样本中天然荧光的空间分布。最后，联合应用拉曼和CARS显微光谱学允许样本化学成分的互补特征。
研究人员观察到积极的基底细胞癌样本中存在大量的储存细胞或类脂物。需进行进一步统计研究以证明这是否是一个重要标志，如果是的话，快速增长的恶性肿瘤扩散血管中低营养是否可进行补偿。不同技术的比较说明了在理解被调查组织的生物学上的互补性。（生物谷Bioon.com）
生物谷推荐英文摘要：
J.Biophotonics DOI: 10.1002/jbio.201000071
Multimodal imaging to study the morphochemistry of basal cell carcinoma
Nadine Vogler1,2, Tobias Meyer1, Denis Akimov1, Ines Latka1, Christoph Krafft1, Niels Bendsoe3, Katarina Svanberg4, Benjamin Dietzek1,2, Jürgen Popp2
Basal cell carcinoma is the most abundant malignant neoplasm in humans, the pathology of which is characterized by an abnormal proliferation of basal cells. Basal cell carcinoma can show a variety of different morphologies, which are based on different cellular biology. Furthermore, the carcinoma often grows invisibly to the eye imbedded in the surrounding skin. Therefore, in some cases its clinical detection is challenging. Thus, our work aims at establishing an unsupervised tissue classification method based on multimodal imaging and the application of chemometrics to discriminate basal cell carcinoma from non-diseased tissue. A case study applying multimodal imaging to ex-vivo sections of basal cell carcinoma is presented. In doing so, we apply a combination of various linear and non-linear imaging modalities, i.e. fluorescence, Raman and second-harmonic generation microscopy, to study the morphochemistry of basal cell carcinoma. The joint information content obtained by such multimodal approach in studying various aspects of the malignant tissue alterations associated with basal cell carcinoma is discussed.
