Title :

Modality Agnostic Model for Spatial Resolution in Mass Spectrometry Imaging: Application to MALDI MSI Data.

Author(s) :

Metodiev, M. D. [Auteur]
Steven, R. T. [Auteur]
Loizeau, X. [Auteur]
Takats, Zoltan [Auteur]
Protéomique, Réponse Inflammatoire, Spectrométrie de Masse (PRISM) - U1192
Bunch, J. [Auteur]

Journal title :

Analytical Chemistry

Abbreviated title :

Anal Chem

Volume number :

93

Pages :

15295-15305

Publication date :

2021-11-24

ISSN :

1520-6882

HAL domain(s) :

Sciences du Vivant [q-bio]

English abstract : [en]

Image resolution in mass spectrometry imaging (MSI) is governed by the sampling probe, the motion of the stage relative to the probe, and the noise inherent for the sample and instrumentation employed. A new image formation ...
Show more >Image resolution in mass spectrometry imaging (MSI) is governed by the sampling probe, the motion of the stage relative to the probe, and the noise inherent for the sample and instrumentation employed. A new image formation model accounting for these variables is presented here. The model shows that the size of the probe, stage velocity, and the rate at which the probe consumes material from the surface govern the amount of blur present in the image. However, the main limiting factor for resolution is the signal-to-noise ratio (SNR). To evaluate blurring and noise effects, a new computational method for measuring lateral resolution in MSI is proposed. A spectral decomposition of the observed image signal and noise is used to determine a resolution number. To evaluate this technique, a silver step edge was prepared. This device was imaged at different pixels sizes using matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI MSI). A modulation transfer function (MTF) and a noise power spectrum (NPS) were computed for each single-ion image, and resolution was defined as the point of intersection between the MTF and the NPS. Finally, the algorithm was also applied to a MALDI MSI tissue data set.Show less >

Peer reviewed article :

Oui

Audience :

Internationale

Popular science :

Non

Administrative institution(s) :

Université de Lille
Inserm
CHU Lille

Collections :

• Protéomique, Réponse Inflammatoire, Spectrométrie de Masse (PRISM) - U1192

Submission date :

2023-12-13T04:32:40Z
2024-01-22T15:23:59Z