项目名称: 定量化超分辨微分干涉相衬显微成像方法研究
项目编号: No.61475059
项目类型: 面上项目
立项/批准年度: 2015
项目学科: 无线电电子学、电信技术
项目作者: 吕晓华
作者单位: 华中科技大学
项目金额: 78万元
中文摘要: 显微光学成像已成为生命科学研究领域中必不可少的研究手段,但其成像分辨率受限于光学衍射极限。为了对更精细的亚细胞结构进行成像,需要进一步提高光学成像的分辨率。近年提出的超分辨成像技术,通常针对荧光标记样品。微分干涉相衬(DIC)成像可以实现无标记样品的高对比成像,但分辨率也受光学衍射限制。申请人所在研究团队前期尝试将结构光照明超分辨方法用于DIC成像,演示了超分辨DIC成像的可能性,但还存在光路结构依赖偏振光学元件,测量结果不能定量的问题。本项目拟在前期工作基础上,研究不依赖于偏振光学元件的可提取定量相位信息的超分辨DIC成像技术。通过引入新的系统结构并进行理论建模和分析,设计和实现可定量反映样品相位信息的定量化超分辨DIC成像;并将该技术应用于活细胞成像研究中,实现细胞的精细亚细胞结构的定量化超分辨成像。本项目的研究将为无标记样品的超分辨光学成像和活细胞研究提供新的方法和实验系统。
中文关键词: 微分干涉相衬成像;结构光照明;超分辨成像
英文摘要: Light microscopy is an essential tool for life science research. The imaging resolution of light microscopy is limited by the diffraction barrier. Several superresolution techniques have been proposed trying to break the barrier and improve the imaging resolution. These techniques mainly aim at or require fluorescently labelled sample. Differential interference contrast (DIC) imaging has been known for its capablity of high contrast microscopic imaging of unlabelled samples. In previous research, the applicants managed to combine structured illumination with DIC technique and demonstrate the possibility of superresolution DIC imaging. However the previous work employed a polarization optics based system structure and the imaging result can not quantitatively describe the phase information of the sample. In this project,we plan to realize a quantitative superresolution DIC method by introducting a new system structure based on spatial light modulator. We plan to carry out theoretical analysis of the proposed quantitative superresolution DIC technique to guide the design and implementation of a superresolution DIC imaging system. We will further apply this technique for live cell imaging of fine subcellular structures.The proposed research project will explore the superresolution imaging technique for unlabelled biological samples and provide new technique for live cell imaging research.
英文关键词: Differential interference contrast imaging;structured illumination;Superresolution imaging