High-speed delay scanning and deep learning techniques for spectroscopic SRS imaging
AssigneeTrustees of Boston University
InventorsJi-Xin Cheng, Haonan Lin
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AssigneeTrustees of Boston University
InventorsJi-Xin Cheng, Haonan Lin
Estimating the term…
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.
A high-speed delay scanning assembly for imaging modalities that utilize varying temporal delays between pulsed interrogation beams, the assembly comprising a fast linear scanner and a stepwise reflective surface, wherein the scanner is configured to repeatedly scan a first pulsed interrogation beam along a scan line across the stepwise reflective surface in a Littrow configuration thereby changing a path distance of the first beam and introducing a sequence of varying temporal delays relative to a second pulsed interrogation beam.
A fast spectroscopic SRS imaging system, the system comprising:
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