MALDI-MSI Towards Multimodal Imaging: Challenges and Perspectives.

Area of Science:

• Biomedical imaging
• Analytical chemistry
• Computational biology

Background:

• Multimodal imaging integrates data from various imaging techniques for comprehensive analysis.
• Matrix-assisted Laser Desorption Ionization Mass Spectrometry Imaging (MALDI-MSI) provides rich chemical information but lacks morphological detail.
• Combining MALDI-MSI with other modalities can overcome limitations and improve tissue characterization.

Purpose of the Study:

• To review analytical and computational strategies for multimodal MALDI-MSI.
• To highlight the benefits of integrating MALDI-MSI with complementary imaging techniques.
• To discuss methods for enhancing the interpretation of combined imaging data.

Main Methods:

• Focus on Matrix-assisted Laser Desorption Ionization Mass Spectrometry Imaging (MALDI-MSI) in multimodal contexts.
• Review of analytical strategies for data acquisition and processing in multimodal imaging.
• Examination of computational approaches for integrating and interpreting multimodal datasets.

Main Results:

• MALDI-MSI, when combined with other imaging modalities, offers enhanced insights into tissue composition and structure.
• Integration of chemical and morphological data improves the understanding of biological samples.
• Analytical and computational strategies are crucial for effective multimodal MALDI-MSI.

Conclusions:

• Multimodal approaches significantly enhance the information content of MALDI-MSI.
• Further development in analytical and computational methods is key to advancing multimodal MALDI-MSI.
• This integrated approach provides a more holistic view of biological tissues.