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    Tomographic and quantitative flow imaging using laser speckles
    发布时间:2022年11月17日 17:24来源:点击:
    讲师 陈南光 时间 11月19日10:00
    地点 腾讯会议(ID:748 451 364)

    讲座名称:Tomographic and quantitative flow imaging using laser speckles

    讲座人:陈南光 副教授

    讲座时间:111910:00

    讲座地点:腾讯会议直播(ID:748 451 364


     

    讲座人介绍:

    陈南光,新加坡国立大学(NUS)生物医学工程的副教授,于2000年在清华大学获得生物医学工程博士学位,1994年(北京大学)和1988年(湖南大学)获得物理学硕士和电子工程学士学位。2000年加入康涅狄格大学的光学和超声成像实验室,担任博士后研究员,然后于2002年成为助理研究教授。2004年加入新加坡国立大学。研究方向包括弥漫性光学断层扫描、光学相干断层扫描和新型荧光显微成像方法,已发表了180多篇论文并拥有5项国际专利。

     

     

    讲座内容:

    Laser speckle imaging (LSI) has been an indispensable tool for in vivo imaging of blood flow in biological tissues. However, conventional LSI techniques can only detect relative flow changes instead of quantify absolute flow velocities. In addition, they are limited to 2D mapping of superficial flow distributions. Recently we have developed two advanced LSI methods for improved imaging performance. The first method is implemented on top of a line-scan confocal microscope. The backscattered light is detected with a line camera at the confocal position. The acquired line speckle patterns are analyzed to retrieve the maps of correlation time and flow velocity. In vivo image experiments with chick embryos have demonstrated the depth selectivity, high spatial resolution for visualizing blood flow in the microvasculature, and high temporal resolution for dynamic flow quantification. The second method is termed light-sheet laser speckle imaging (LSH-LSI), which takes advantage of the intrinsic optical sectioning capability of selected plane illumination. Intensity autocorrelation analysis, particle image velocimetry (PIV), and other image processing methods have been applied to the raw images from zebrafish models to generate tomographic images of blood vasculature, scalar velocity distribution, and vector velocity destruction.

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