Invention Grant
- Patent Title: High-speed delay scanning and deep learning techniques for spectroscopic SRS imaging
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Application No.: US17162455Application Date: 2021-01-29
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Publication No.: US11237111B2Publication Date: 2022-02-01
- Inventor: Ji-Xin Cheng , Haonan Lin
- Applicant: Trustees of Boston University
- Applicant Address: US MA Boston
- Assignee: Trustees of Boston University
- Current Assignee: Trustees of Boston University
- Current Assignee Address: US MA Boston
- Agency: Burns & Levinson LLP
- Agent Steven M. Mills
- Main IPC: G06T5/00
- IPC: G06T5/00 ; G01N21/65 ; G06N3/04 ; G06N3/08 ; A61B5/00

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.
Public/Granted literature
- US20210239618A1 HIGH-SPEED DELAY SCANNING AND DEEP LEARNING TECHNIQUES FOR SPECTROSCOPIC SRS IMAGING Public/Granted day:2021-08-05
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