A Practical Framework for Super-resolution of Mass Spectrometry Images via Adaptation of Deep Learning Models

Key Points

• The aim is to develop a framework for enhancing spatial resolution in mass spectrometry imaging using deep learning.
• Framework development for super-resolution
• Application of deep learning models
• Analysis of tissue-specific metabolite distributions
• Achieved enhanced spatial resolution in mass spectrometry images
• Improved visibility of metabolite distributions
• Demonstrated practical application of deep learning for enhancement