Molecular Imaging Technologies in Analytical Chemistry: A Critical Review of Mass Spectrometry Imaging, Raman Imaging, Imaging Mass Cytometry, and Emerging Spatial Analytical Platforms

Molecular imaging technologies have transformed analytical chemistry by enabling molecular identification and spatial localization within intact biological specimens. Advances in mass spectrometry imaging (MSI), Raman imaging, imaging mass cytometry (IMC), and emerging spatial analytical platforms have expanded the investigation of tissue heterogeneity and molecular organization. However, quantitative reliability, reproducibility, standardization, computational complexity, and clinical translation remain significant challenges. This review critically evaluates the analytical performance of current molecular imaging technologies, emphasizing spatial resolution, sensitivity, molecular coverage, quantitative capability, multiplexing, reproducibility, computational integration, artificial intelligence (AI)-assisted analysis, and clinical readiness. No single modality simultaneously provides optimal spatial resolution, molecular coverage, quantitative accuracy, throughput, and reproducibility. MSI enables comprehensive molecular profiling, Raman imaging provides label-free chemical specificity, IMC supports highly multiplexed protein analysis, and emerging spatial omics platforms offer systems-level biological insights. Nevertheless, matrix effects, workflow variability, computational demands, limited standardization, and insufficient multicenter validation restrict broader analytical and clinical implementation. AI-assisted analysis and multimodal data integration offer opportunities to improve performance but require transparent validation and harmonized workflows. Future progress will depend on standardized analytical protocols, quantitative validation, explainable AI, multimodal integration, automated quality control, and international harmonization to establish molecular imaging as robust, reproducible, and clinically translatable analytical platforms.

Authors

Institutions

Publication Details

Journal
Critical Reviews in Analytical Chemistry
Published
2026-10-14
DOI
https://doi.org/10.1080/10408347.2026.2742470
Primary Topic
Mass Spectrometry Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Molecular Imaging Technologies in Analytical Chemistry: A Critical Review of Mass Spectrometry Imaging, Raman Imaging, Imaging Mass Cytometry, and Emerging Spatial Analytical Platforms

Hemn A.H. Barzani, Rebaz Anwar Omer, Hazha Omar Othman, Seerwan Hamadameen Sulaiman et al.
Critical Reviews in Analytical Chemistry
Mass Spectrometry Techniques and Applications
article

Molecular Imaging Technologies in Analytical Chemistry: A Critical Review of Mass Spectrometry Imaging, Raman Imaging, Imaging Mass Cytometry, and Emerging Spatial Analytical Platforms

Hemn A.H. Barzani, Rebaz Anwar Omer, Hazha Omar Othman, Seerwan Hamadameen Sulaiman, Ali Sedeeq Noaman, Khalamala Ibrahim Salih Barzani
article en

Abstract

Molecular imaging technologies have transformed analytical chemistry by enabling molecular identification and spatial localization within intact biological specimens. Advances in mass spectrometry imaging (MSI), Raman imaging, imaging mass cytometry (IMC), and emerging spatial analytical platforms have expanded the investigation of tissue heterogeneity and molecular organization. However, quantitative reliability, reproducibility, standardization, computational complexity, and clinical translation remain significant challenges. This review critically evaluates the analytical performance of current molecular imaging technologies, emphasizing spatial resolution, sensitivity, molecular coverage, quantitative capability, multiplexing, reproducibility, computational integration, artificial intelligence (AI)-assisted analysis, and clinical readiness. No single modality simultaneously provides optimal spatial resolution, molecular coverage, quantitative accuracy, throughput, and reproducibility. MSI enables comprehensive molecular profiling, Raman imaging provides label-free chemical specificity, IMC supports highly multiplexed protein analysis, and emerging spatial omics platforms offer systems-level biological insights. Nevertheless, matrix effects, workflow variability, computational demands, limited standardization, and insufficient multicenter validation restrict broader analytical and clinical implementation. AI-assisted analysis and multimodal data integration offer opportunities to improve performance but require transparent validation and harmonized workflows. Future progress will depend on standardized analytical protocols, quantitative validation, explainable AI, multimodal integration, automated quality control, and international harmonization to establish molecular imaging as robust, reproducible, and clinically translatable analytical platforms.

Critical Reviews in Analytical Chemistry
Lebanese French University (IQ), Akre University for Applied Sciences (IQ), Erbil Polytechnic University (IQ), Salahaddin University-Erbil (IQ), Koya University (IQ)
Openalex Percentile: Top 27%
Mass Spectrometry Techniques and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.