Fatakdawala Hussain, Poti Shannon, Zhou Feifei, Sun Yang, Bec Julien, Liu Jing, Yankelevich Diego R, Tinling Steven P, Gandour-Edwards Regina F, Farwell D Gregory, Marcu Laura
Department of Biomedical Engineering, University of California-Davis, Davis, CA 95616, USA.
Biomed Opt Express. 2013 Aug 26;4(9):1724-41. doi: 10.1364/BOE.4.001724. eCollection 2013.
This work reports a multimodal system for label-free tissue diagnosis combining fluorescence lifetime imaging (FLIm), ultrasound backscatter microscopy (UBM), and photoacoustic imaging (PAI). This system provides complementary biochemical, structural and functional features allowing for enhanced in vivo detection of oral carcinoma. Results from a hamster oral carcinoma model (normal, precancer and carcinoma) are presented demonstrating the ability of FLIm to delineate biochemical composition at the tissue surface, UBM and related radiofrequency parameters to identify disruptions in the tissue microarchitecture and PAI to map optical absorption associated with specific tissue morphology and physiology.
这项工作报告了一种用于无标记组织诊断的多模态系统,该系统结合了荧光寿命成像(FLIm)、超声背向散射显微镜(UBM)和光声成像(PAI)。该系统提供了互补的生化、结构和功能特征,有助于增强口腔癌的体内检测。文中展示了仓鼠口腔癌模型(正常、癌前和癌变)的结果,证明了FLIm描绘组织表面生化成分的能力、UBM及相关射频参数识别组织微结构破坏的能力,以及PAI绘制与特定组织形态和生理相关的光吸收图谱的能力。