Evidence-Driven m/z Alignment in Mass Spectrometry Imaging: Physics Models, Observed-Data Recalibration, and Deep Learning

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Title:	Evidence-Driven m/z Alignment in Mass Spectrometry Imaging: Physics Models, Observed-Data Recalibration, and Deep Learning
Authors:	Yu, Zhuohao; Cheng, Kai; Mišić, Danijela ; Soković, Marina ; Figeys, Daniel; Xu, Hongxi; Ye, Yang; Liu, Jia
Issue Date:	2026
Publication:	Science Direct
ISSN:	0165-9936 Trends in Analytical Chemistry / TRAC Search Idenfier
Publisher:	Elsevier
Type:	Article
Collation:	vol. 200 str. 118853-118853
DOI:	10.1016/j.trac.2026.118853
WoS-ID:	001751588300001
URI:	https://radar.ibiss.bg.ac.rs/handle/123456789/8112 https://enauka.gov.rs/handle/123456789/1036820
Project:	National Natural Science Foundation of China (82373827 and W2521184) National Key R&D Program of China, Key Project (2022YFE0203600) International Governmental S&T Innovation Cooperation Project (2024YFE0117200) released by the Ministry of Science and Technology of China
M-category:	21a+M21a+

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