AI-assisted mass spectrometry imaging with in situ image segmentation for subcellular metabolomics analysis

Subcellular metabolomics analysis is crucial for understanding intracellular heterogeneity and accurate drug-cell interactions. Unfortunately, the ultra-small size and complex microenvironment inside the cell pose a great challenge to achieving this goal. To address this challenge, we propose an art...

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Veröffentlicht in:	Chemical science (Cambridge) 2024-03, Vol.15 (12), p.4547-4555
Hauptverfasser:	Zhao, Cong-Lin, Mou, Han-Zhang, Pan, Jian-Bin, Xing, Lei, Mo, Yuxiang, Kang, Bin, Chen, Hong-Yuan, Xu, Jing-Juan
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial intelligence Biomarkers Chemistry Doxorubicin Heterogeneity Image segmentation Mass spectrometry Metabolites Scientific imaging
Online-Zugang:	Volltext
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