Reproducible Matrix Deposition for MALDI MSI Based on Open-Source Software and Hardware.

Area of Science:

• Analytical Chemistry
• Biotechnology
• Instrumentation

Background:

• Matrix deposition is critical for matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI MSI).
• Achieving consistent and homogeneous matrix coatings is challenging, impacting data quality and reproducibility.
• Existing methods often require specialized expertise and equipment.

Purpose of the Study:

• To develop and validate an open-source hardware and software device, iMatrixSpray, for optimized matrix deposition.
• To assess the performance of iMatrixSpray in terms of homogeneity, reproducibility, and sensitivity for MALDI MSI.
• To facilitate broader adoption of MALDI MSI by simplifying matrix application.

Main Methods:

• Optimization and specification of the iMatrixSpray device for matrix deposition.
• Evaluation of coating uniformity using microscopy or other relevant techniques.
• Assessment of reproducibility across multiple experimental runs.
• Testing sensitivity in the context of MALDI MSI experiments.

Main Results:

• The iMatrixSpray device demonstrated high homogeneity in matrix coatings.
• Consistent quality of coatings was achieved from experiment to experiment, confirming reproducibility.
• The device meets specified performance criteria for sensitivity in MS imaging.

Conclusions:

• The iMatrixSpray device successfully delivers uniform and reproducible matrix coatings for MALDI MSI.
• Its open-source nature promotes protocol sharing and accessibility, lowering the barrier to entry for MALDI MSI.
• iMatrixSpray empowers researchers to perform MALDI MSI without prior matrix coating expertise.