Deep learning in analytical chemistry

B Debus, H Parastar, P Harrington… - TrAC Trends in Analytical …, 2021 - Elsevier
In recent years, extensive research in the field of Deep Learning (DL) has led to the
development of a wide array of machine learning algorithms dedicated to solving complex …

Emerging computational methods in mass spectrometry imaging

H Hu, J Laskin - Advanced Science, 2022 - Wiley Online Library
Mass spectrometry imaging (MSI) is a powerful analytical technique that generates maps of
hundreds of molecules in biological samples with high sensitivity and molecular specificity …

Illuminating the future of precision cancer surgery with fluorescence imaging and artificial intelligence convergence

H Cheng, H Xu, B Peng, X Huang, Y Hu… - NPJ Precision …, 2024 - nature.com
Real-time and accurate guidance for tumor resection has long been anticipated by
surgeons. In the past decade, the flourishing material science has made impressive …

What are we imaging? Software tools and experimental strategies for annotation and identification of small molecules in mass spectrometry imaging

G Baquer, L Sementé, T Mahamdi… - Mass Spectrometry …, 2023 - Wiley Online Library
Mass spectrometry imaging (MSI) has become a widespread analytical technique to perform
nonlabeled spatial molecular identification. The Achilles' heel of MSI is the annotation and …

Automated annotation and visualisation of high-resolution spatial proteomic mass spectrometry imaging data using HIT-MAP

G Guo, M Papanicolaou, NJ Demarais, Z Wang… - Nature …, 2021 - nature.com
Spatial proteomics has the potential to significantly advance our understanding of biology,
physiology and medicine. Matrix-assisted laser desorption/ionisation mass spectrometry …

Multi-modality artificial intelligence in digital pathology

Y Qiao, L Zhao, C Luo, Y Luo, Y Wu, S Li… - Briefings in …, 2022 - academic.oup.com
In common medical procedures, the time-consuming and expensive nature of obtaining test
results plagues doctors and patients. Digital pathology research allows using computational …

[HTML][HTML] An overview of image registration for aligning mass spectrometry imaging with clinically relevant imaging modalities

B Balluff, RMA Heeren, AM Race - … of Mass Spectrometry and Advances in …, 2022 - Elsevier
Mass spectrometry imaging (MSI) is used in many aspects of clinical research, including
pharmacokinetics, toxicology, personalised medicine, and surgical decision-making …

Next‐generation pathology practices with mass spectrometry imaging

HH Chung, P Huang, CL Chen, C Lee… - Mass Spectrometry …, 2023 - Wiley Online Library
Mass spectrometry imaging (MSI) is a powerful technique that reveals the spatial distribution
of various molecules in biological samples, and it is widely used in pathology‐related …

Method to visualize the intratumor distribution and impact of gemcitabine in pancreatic ductal adenocarcinoma by multimodal imaging

N Strittmatter, FM Richards, AM Race, S Ling… - Analytical …, 2022 - ACS Publications
Gemcitabine (dFdC) is a common treatment for pancreatic cancer; however, it is thought that
treatment may fail because tumor stroma prevents drug distribution to tumor cells …

Recent advances in mass spectrometry imaging combined with artificial intelligence for spatially clarifying molecular profiles: Toward biomedical applications

H Zhang, J Zhang, C Yuan, D Zhang, D Lu… - TrAC Trends in …, 2024 - Elsevier
Mass spectrometry imaging (MSI) is an intuitive and multidimensional analysis method that
provides spatial information on molecules in tissues or cells; it is widely used in biomedical …