应机械学院赵玉龙教授的邀请，哈佛大学Lev T. Perelman教授来我校交流并作学术讲座。欢迎师生届时参加讲座。

题目：Biomedical Label-Free Imaging and Spectroscopy with Scattered Light

时间：2019年10月24日（星期四）16:00

地点：曲江校区西五楼A-424

报告人简介：

Lev T. Perelman, PhD

Professor and Director

Center for Advanced Biomedical Imaging and Photonics

Beth Israel Deaconess Medical Center

Biological and Biomedical Sciences Program

Harvard University

内容简介：

Optical spectroscopy emerged as a valuable tool to study live biological tissue at various scales and detect early disease in the human body. While fluorescence and Raman spectra are sensitive to molecular properties of tissue, light scattering spectra, originating from the extracellular matrix, subcellular structures, and other tissue inhomogeneities, carry information about tissue microscopic and macroscopic organization. In this talk we will discuss how scattered light can be used for noninvasive detection of invisible pre-cancer in such diverse organs as the esophagus or pancreas that seem to have little in common. We will show, however, that since pre-cancer in many organs is characterized by certain microscopic changes in epithelial cells, such as increase in nuclear size and nuclear density, light scattering signatures of those precancers are quite similar, allowing early cancer imaging and detection without the need for external markers.

      Light scattering signatures could also be used for sensing subnuclear and subcelluar structure of live cells, e.g. chromatin packing, organelle organization, and characterization of cell-derived exosomes. Nanoscale changes in the nuclear structure have been shown to play a critical role in genetic and transcriptional alterations and are a hallmark of neoplasia. However, due to the lack of technologies for label-free nanoscale-sensitive measurements in live cells, many aspects of these phenomena have remained an open problem. We will discuss how the approach based on the combination of confocal microscopy and spectroscopy of scattered light could help to solve this problem, providing several critical advantages over the existing methods.

欢迎师生届时听讲座参加研讨，研究生记学分。