Self-Supervised Learning for Inter-laboratory Variation Minimization in Surface Enhanced Raman Scattering Spectroscopy

Seongyong Park; Abdul Wahab; Minseok Kim; Shujaat Khan

doi:10.1039/D2AN01569B

Self-Supervised Learning for Inter-laboratory Variation Minimization in Surface Enhanced Raman Scattering Spectroscopy

Seongyong Park, Abdul Wahab, Minseok Kim, Shujaat Khan

School of Sciences and Humanities

Research output: Contribution to journal › Article › peer-review

5 Citations (Scopus)

Original language	English
Pages (from-to)	1473-1482
Journal	Analyst
Volume	148
DOIs	https://doi.org/10.1039/D2AN01569B
Publication status	Published - 2023

Funding

This work was supported by the Kumoh National Institute of Technology (202001530001). The authors would like to thank Prof. Bonifacio from the University of Trieste for providing the EMSC-based regression model.

Access to Document

10.1039/D2AN01569B

Cite this

@article{f3d4177ad97f4af9b19c527af60d52fb,

title = "Self-Supervised Learning for Inter-laboratory Variation Minimization in Surface Enhanced Raman Scattering Spectroscopy",

author = "Seongyong Park and Abdul Wahab and Minseok Kim and Shujaat Khan",

year = "2023",

doi = "10.1039/D2AN01569B",

language = "English",

volume = "148",

pages = "1473--1482",

journal = "Analyst",

issn = "0003-2654",

publisher = "Royal Society of Chemistry",

}