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    DARK-FIELD MID-INFRARED PHOTOTHERMAL MICROSCOPY
    6.
    发明公开
    DARK-FIELD MID-INFRARED PHOTOTHERMAL MICROSCOPY 审中-公开

    公开(公告)号：US20230408805A1

    公开(公告)日：2023-12-21

    申请号：US18205152

    申请日：2023-06-02

    申请人： Trustees of Boston University

    发明人： Ji-Xin Cheng ,  Celalettin Yurdakul ,  Haonan Zong ,  M. Selim Ünlü

    IPC分类号： G02B21/16 ,  G02B21/02 ,  G02B21/36

    CPC分类号： G02B21/16 ,  G02B21/025 ,  G02B21/361

    摘要： Microscopic analysis of a sample includes a system using dark-field illumination. A mid-IR optical source generates a mid-infrared beam, which is directed onto the sample to induce a temperature change by absorption of the mid-infrared beam. A visible light source generates a light illuminating the sample on a substrate and creating a scattered field and a reflected field along a collection path of the system. A pupil mask is positioned along the collection path to block the reflected field while allowing the scattered field to pass therethrough. A camera is positioned at an end of the collection path to collect the scattered field and generate a dark-field image of the sample.

    High-speed delay scanning and deep learning techniques for spectroscopic SRS imaging
    10.
    发明授权
    High-speed delay scanning and deep learning techniques for spectroscopic SRS imaging 有权

    公开(公告)号：US11237111B2

    公开(公告)日：2022-02-01

    申请号：US17162455

    申请日：2021-01-29

    申请人： Trustees of Boston University

    发明人： Ji-Xin Cheng ,  Haonan Lin

    IPC分类号： G06T5/00 ,  G01N21/65 ,  G06N3/04 ,  G06N3/08 ,  A61B5/00

    摘要： Systems and methods implement of high-speed delay scanning for spectroscopic SRS imaging characterized by scanning a first pulsed beam across a stepwise reflective surface (such as a stepwise mirror or a reflective blazed grating) in a Littrow configuration to generate near continuous temporal delays relative to a second pulsed beam. Systems and methods also implement deep learning techniques for image restoration of spectroscopic SRS images using a trained encoder-decoder convolution neural network (CNN) which in some embodiments may be designed as a spatial-spectral residual net (SS-ResNet) characterized by two parallel filters including a first convolution filter on the spatial domain and a second convolution filter on the spectral domain.