Automated imaging MS: Toward high throughput imaging mass spectrometry

Area of Science:

• Biomedical Engineering
• Analytical Chemistry
• Pathology

Background:

• Molecular histology leverages imaging mass spectrometry (IMS) to map tissue peptides and proteins, correlating molecular data with histological features.
• The clinical potential of molecular histology has been limited by the low throughput of traditional IMS techniques.

Purpose of the Study:

• To develop an automated system to overcome the throughput limitations of IMS for molecular histology.
• To enable robust and reproducible molecular histology for potential clinical applications.

Main Methods:

• An automated setup was engineered, integrating a controlled environment sample storage chamber, a robotic sample loader, and a MALDI-TOF/TOF mass spectrometer.
• A unified user interface was developed to control the entire automated workflow.

Main Results:

• The automated system demonstrated high positional stability, crucial for precise molecular mapping.
• Experimental reproducibility was achieved, indicating the system's reliability for consistent data acquisition.
• The developed setup addresses the throughput bottleneck, paving the way for broader clinical investigation.

Conclusions:

• The automated IMS setup significantly enhances the feasibility of molecular histology.
• This advancement provides a foundation for the clinical translation of molecular histology, improving diagnostic capabilities.