Researching | AI-enabled universal image-spectrum fusion spectroscopy based on self-supervised plasma modeling

Advanced Photonics Nexus, Volume. 3, Issue 6, 066014(2024)

AI-enabled universal image-spectrum fusion spectroscopy based on self-supervised plasma modeling

Feiyu Guan^1、†, Yuanchao Liu², Xuechen Niu¹, Weihua Huang¹, Wei Li³, Peichao Zheng³, Deng Zhang⁴, Gang Xu^5、*, and Lianbo Guo^1、*

Author Affiliations

¹Huazhong University of Science and Technology, Wuhan National Laboratory for Optoelectronics, Wuhan, China

²City University of Hong Kong, Department of Physics, Hong Kong, China

³Chongqing University of Posts and Telecommunications, School of Optoelectronic Engineering, Chongqing, China

⁴Nanjing Normal University, School of Computer and Electronic Information, Nanjing, China

⁵Huazhong University of Science and Technology, School of Optical and Electronic Information, Wuhan, China

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[1] Y.-H. Wang et al. In situ Raman spectroscopy reveals the structure and dissociation of interfacial water. Nature, 600, 81-85(2021).

[2] L. Huang et al. Rapid, label-free histopathological diagnosis of liver cancer based on Raman spectroscopy and deep learning. Nat. Commun., 14, 48(2023).

[3] Y. Gu et al. Resolving nanostructure and chemistry of solid-electrolyte interphase on lithium anodes by depth-sensitive plasmon-enhanced Raman spectroscopy. Nat. Commun., 14, 3536(2023).

[4] I. Pupeza et al. Field-resolved infrared spectroscopy of biological systems. Nature, 577, 52-59(2020).

[5] D. Erlinge et al. Identification of vulnerable plaques and patients by intracoronary near-infrared spectroscopy and ultrasound (PROSPECT II): a prospective natural history study. Lancet, 397, 985-995(2021).

[6] P. Loubeyre et al. Synchrotron infrared spectroscopic evidence of the probable transition to metal hydrogen. Nature, 577, 631-635(2020).

[7] L. Qiu et al. A high-precision multi-dimensional microspectroscopic technique for morphological and properties analysis of cancer cell. Light Sci. Appl., 12, 129(2023).

[8] F. Kargar, A. A. Balandin. Advances in Brillouin–Mandelstam light-scattering spectroscopy. Nat. Photonics, 15, 720-731(2021).

[9] F. Yang et al. Large evanescently-induced Brillouin scattering at the surrounding of a nanofibre. Nat. Commun., 13, 1432(2022).

[10] A. Yamaguchi et al. Laser spectroscopy of triply charged 229Th isomer for a nuclear clock. Nature, 629, 62-66(2024).

[11] S. Li et al. Attosecond-pump attosecond-probe x-ray spectroscopy of liquid water. Science, 383, 1118-1122(2024).

[12] K. Liu et al. A review of laser-induced breakdown spectroscopy for coal analysis. TRAC Trends Anal. Chem., 143, 116357(2021).

[13] V. H. Ferreira et al. Enhancing diagnostic capabilities for occupational lung diseases using LIBS imaging on biopsy tissue. Anal. Chem., 96, 7038-7046(2024).

[14] P. Pohl et al. Five years of innovations in development of glow discharges generated in contact with liquids for spectrochemical elemental analysis by optical emission spectrometry. Anal. Chim. Acta, 1169, 338399(2021).

[15] E. Bozorgzadeh et al. Determination of toxic heavy metals in fish samples using dispersive micro solid phase extraction combined with inductively coupled plasma optical emission spectroscopy. Food Chem., 346, 128916(2021).

[16] M. Cui et al. Enhancement and stabilization of plasma using collinear long-short double-pulse laser-induced breakdown spectroscopy. Spectrochim. Acta, Part B, 142, 14-22(2018).

[17] J. Li et al. Evaluation of the self-absorption reduction of minor elements in laser-induced breakdown spectroscopy assisted with laser-stimulated absorption. J. Anal. At. Spectrom., 32, 2189-2193(2017).

[18] Y. Tang et al. Multielemental self-absorption reduction in laser-induced breakdown spectroscopy by using microwave-assisted excitation. Opt. Express, 26, 12121-12130(2018).

[19] B. C. Windom, D. W. Hahn. Laser ablation-laser induced breakdown spectroscopy (LA-LIBS): a means for overcoming matrix effects leading to improved analyte response. J. Anal. Atom. Spectrom., 24, 1665-1675(2009).

[20] L. Sun, H. J. T. Yu. Correction of self-absorption effect in calibration-free laser-induced breakdown spectroscopy by an internal reference method. Talanta, 79, 388-395(2009).

[21] J. Guezenoc, A. Gallet-Budynek, B. Bousquet. Critical review and advices on spectral-based normalization methods for LIBS quantitative analysis. Spectrochim. Acta, Part B, 160, 105688(2019).

[22] D. Bulajic et al. A procedure for correcting self-absorption in calibration free-laser induced breakdown spectroscopy. Pectrochim. Acta, Part B, 57, 339-353(2002).

[23] Y. Yang, X. Hao, L. J. O. Ren. Correction of self-absorption effect in calibration-free laser-induced breakdown spectroscopy (CF-LIBS) by considering plasma temperature and electron density. Optik, 208, 163702(2020).

[24] X. Li et al. Application of a spectrum standardization method for carbon analysis in coal using laser-induced breakdown spectroscopy (LIBS). Appl. Spectrosc., 68, 955-962(2014).

[25] U. Panne et al. Analysis of glass and glass melts during the vitrification process of fly and bottom ashes by laser-induced plasma spectroscopy. Part I: Normalization and plasma diagnostics. Spectrochim. Acta, Part B, 53, 1957-1968(1998).

[26] Y. Zhang et al. Quantitation improvement of underwater laser induced breakdown spectroscopy by using self-absorption correction based on plasma images. Anal. Chim. Acta, 1195, 339423(2022).

[27] D. Zhang et al. A plasma image-spectrum fusion correction strategy for improving spectral stability based on radiation model in laser induced breakdown spectroscopy. Anal. Chim. Acta, 1236, 340552(2022).

[28] P. Zhang et al. An image auxiliary method for quantitative analysis of laser-induced breakdown spectroscopy. Anal. Chem., 90, 4686-4694(2018).

[29] A. Ciucci et al. New procedure for quantitative elemental analysis by laser-induced plasma spectroscopy. Appl. Spectrosc., 53, 960-964(1999).

[30] E. Tognoni et al. A numerical study of expected accuracy and precision in calibration-free laser-induced breakdown spectroscopy in the assumption of ideal analytical plasma. Spectrochim. Acta, Part B, 62, 1287-1302(2007).

[31] J. Feng et al. Explainable and trustworthy artificial intelligence for correctable modeling in chemical sciences. Sci. Adv., 6, eabc3204(2020).

[32] A. Davies et al. Advancing mathematics by guiding human intuition with AI. Nature, 600, 70-74(2021).

[33] Z. Chen, Y. Liu, H. J. N. C. Sun. Physics-informed learning of governing equations from scarce data. Nat. Commun., 12, 6136(2021).

[34] A. L. Maas, A. Y. Hannun, A. Y. Ng. Rectifier nonlinearities improve neural network acoustic models, 3(2013).

[35] A. Vaswani et al. Attention is all you need. Adv. Neural Inf. Process. Syst., 30(2017).

[36] D. Zhang et al. A plasma-image-assisted method for matrix effect correction in laser-induced breakdown spectroscopy. Anal. Chim. Acta, 1107, 14-22(2020).

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Feiyu Guan, Yuanchao Liu, Xuechen Niu, Weihua Huang, Wei Li, Peichao Zheng, Deng Zhang, Gang Xu, Lianbo Guo, "AI-enabled universal image-spectrum fusion spectroscopy based on self-supervised plasma modeling," Adv. Photon. Nexus 3, 066014 (2024)

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Paper Information

Category: Research Articles

Received: Jun. 26, 2024

Accepted: Oct. 15, 2024

Published Online: Dec. 9, 2024

The Author Email: Xu Gang (gang_xu@hust.edu.cn), Guo Lianbo (lbguo@hust.edu.cn)

DOI:10.1117/1.APN.3.6.066014

Topics

laser devices and laser physics

Lasers and Laser Optics

laser manufacturing

Instrumentation, Measurement and Metrology