| Title | Rapid Coherent Raman hyperspectral imaging based on delay-spectral focusing dual comb method and deep learning algorithm |
| Author | |
| Corresponding Author | Haoyun Wei |
| Publication Years | 2023-01-17
|
| DOI | |
| Source Title | |
| Volume | 48Issue:3Pages:550-553 |
| Abstract | Rapid coherent Raman hyperspectral imaging shows great promise for applications in sensing, medical diagnostics, and dynamic metabolism monitoring. However, the spectral acquisition speed of current multiplex coherent anti-Stokes Raman scattering (CARS) microscopy is generally limited by the spectrometer integration time, and as the detection speed increases, the signal-to-noise ratio (SNR) of single spectrum will decrease, leading to a terrible imaging quality. In this Letter, we report a dual-comb coherent Raman hyperspectral microscopy imaging system developed by integrating two approaches, a rapid delay-spectral focusing method and deep learning. The spectral refresh rate is exploited by focusing the relative delay scanning in the effective Raman excitation region, enabling a spectral acquisition speed of 36 kHz, ≈4 frames/s, for a pixel resolution of 95×95 pixels and a spectral bandwidth no less than 200 cm−1 . To improve the spectral SNR and imaging quality, the deep learning models are designed for spectral preprocessing and automatic unsupervised feature extraction. In addition, by changing the relative delay focusing region of the comb pairs, the detected spectral wavenumber region can be flexibly tuned to the high SNR region of the spectrum. |
| Indexed By | |
| Language | English
|
| SUSTech Authorship | Others
|
| Data Source | 人工提交
|
| Publication Status | 正式出版
|
| Citation statistics |
Cited Times [WOS]:0
|
| Document Type | Journal Article |
| Identifier | http://kc.sustech.edu.cn/handle/2SGJ60CL/513254 |
| Department | Department of Electrical and Electronic Engineering |
| Affiliation | 1.State Key Lab of Precision Measurement Technology and Instrument, Department of Precision Instrument, Tsinghua University, Beijing 100084, China 2.Department of Electronic and Electrical Engineering, Southern University of Science and Technology, Shenzhen 518000, China |
| Recommended Citation GB/T 7714 |
Yujia Zhang,Minjian Lu,Jiaqi Hu,et al. Rapid Coherent Raman hyperspectral imaging based on delay-spectral focusing dual comb method and deep learning algorithm[J]. Optical Letters,2023,48(3):550-553.
|
| APA |
Yujia Zhang.,Minjian Lu.,Jiaqi Hu.,Yan Li.,Perry Ping Shum.,...&Haoyun Wei.(2023).Rapid Coherent Raman hyperspectral imaging based on delay-spectral focusing dual comb method and deep learning algorithm.Optical Letters,48(3),550-553.
|
| MLA |
Yujia Zhang,et al."Rapid Coherent Raman hyperspectral imaging based on delay-spectral focusing dual comb method and deep learning algorithm".Optical Letters 48.3(2023):550-553.
|
| Files in This Item: | ||||||
| File Name/Size | DocType | Version | Access | License | ||
| 20230117-OL-Rapid co（5289KB） | Restricted Access | -- | ||||
Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.
Edit Comment