2023 article

Maximized Spatial Information and Minimized Acquisition Time of Top-Hat IR-MALDESI-MSI of Zebrafish Using Nested Regions of Interest (nROIs)

Joignant, A. N., Ritter, M. M., Knizner, K. T., Garrard, K. P., Kullman, S. W., & Muddiman, D. C. (2023, August 1). JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY.

co-author countries: United States of America πŸ‡ΊπŸ‡Έ
author keywords: IR-MALDESI; mass spectrometry imaging; spatialresolution; nested region of interest; zebrafish
Source: Web Of Science
Added: August 21, 2023

Increasing the spatial resolution of a mass spectrometry imaging (MSI) method results in a more defined heatmap of the spatial distribution of molecules across a sample, but it is also associated with the disadvantage of increased acquisition time. Decreasing the area of the region of interest to achieve shorter durations results in the loss of potentially valuable information in larger specimens. This work presents a novel MSI method to reduce the time of MSI data acquisition with variable step size imaging: nested regions of interest (nROIs). Using nROIs, a small ROI may be imaged at a higher spatial resolution while nested inside a lower-spatial-resolution peripheral ROI. This conserves the maximal spatial and chemical information generated from target regions while also decreasing the necessary acquisition time. In this work, the nROI method was characterized on mouse liver and applied to top-hat MSI of zebrafish using a novel optical train, which resulted in a significant improvement in both acquisition time and spatial detail of the zebrafish. The nROI method can be employed with any step size pairing and adapted to any method in which the acquisition time of larger high-resolution ROIs poses a practical challenge.