2021-013 – A Subspace Approach to Accelerate Fourier Transform-Ion Cyclotron Resonance Mass Spectrometry Imaging

  • Computational reconstruction imaging strategy which enables significant reduction of FT-ICR MSI data collection time

Abstract

Researchers have developed a method that accelerates data acquisition for Fourier transform-ion cyclotron resonance (FT-ICR) mass spectrometry imaging (MSI) by ten folds while maintaining high mass and spatial resolution and accuracy. Compared to other methods in MSI data acquisition/reconstruction, this approach exploits redundancy in the data, eventually reducing the time for data collection. The primary applications of the technology will be in clinical diagnostics, drug metabolism studies and localization/characterization of biomolecules within tissue samples.

Website

https://illinois.flintbox.com/technologies/1463956830A24F90975A0A46FD5EA640

Contact Information

Name: Kwaku Opoku

Email: kopoku@illinois.edu

Phone: (217) 300-7760