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公开(公告)号:US20240035979A1
公开(公告)日:2024-02-01
申请号:US18235279
申请日:2023-08-17
Applicant: Trustees of Boston University
Inventor: Ji-Xin Cheng , Haonan Lin
CPC classification number: G01N21/65 , G06T5/001 , G06N3/04 , G06N3/08 , G06T2207/20081 , A61B5/0075
Abstract: 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.
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公开(公告)号:US11774365B2
公开(公告)日:2023-10-03
申请号:US17569966
申请日:2022-01-06
Applicant: Trustees of Boston University
Inventor: Ji-Xin Cheng , Haonan Lin
CPC classification number: G01N21/65 , G06N3/04 , G06N3/08 , G06T5/001 , A61B5/0075 , G01N2021/655 , G06T2207/20081 , G06T2207/20084
Abstract: 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.
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公开(公告)号:US11237111B2
公开(公告)日:2022-02-01
申请号:US17162455
申请日:2021-01-29
Applicant: Trustees of Boston University
Inventor: Ji-Xin Cheng , Haonan Lin
Abstract: 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.
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