Evaluating the optimal tissue thickness for mass spectrometry imaging using infrared matrix-assisted laser desorption electrospray ionization.
Rapid Commun Mass Spectrom
; 37(22): e9638, 2023 Nov 30.
Article
em En
| MEDLINE
| ID: mdl-37817341
ABSTRACT
RATIONALE Infrared matrix-assisted laser desorption electrospray ionization (IR-MALDESI) utilizes a 2970 nm mid-IR laser to desorb samples with depth resolutions (Z) on the order of micrometers. Conventionally, 5-20 µm thick tissue sections are used to characterize different applications of the IR-MALDESI source, but an optimal thickness has not been systematically investigated. METHODS:
Mouse liver was sectioned to various thicknesses and analyzed using IR-MALDESI mass spectrometry imaging (MSI). Height profiles of tissue sections of various cryosectioned thicknesses were acquired to affirm tissue thickness. Tissue sections of each thickness were measured using a Keyence microscope. Paraffin wax was cryosectioned, mounted on microscope slides, and measured using a chromatic confocal sensor system to determine the cryostat sectioning accuracy.RESULTS:
Analyzing sectioned tissues at higher thickness (>10 µm) leads to lower ion abundance, a decrease in signal over long analysis times, and more frequent instrument cleaning. Additionally, increasing tissue thickness above the optimum (7 µm) does not result in a significant increase in lipid annotations.CONCLUSIONS:
This work defines an optimal sample thickness for IR-MALDESI-MSI and demonstrates the utility of optimizing tissue thickness for MSI platforms of comparable Z resolution.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Técnicas Histológicas
/
Espectrometria de Massas por Ionização por Electrospray
Limite:
Animals
Idioma:
En
Revista:
Rapid Commun Mass Spectrom
Ano de publicação:
2023
Tipo de documento:
Article
País de afiliação:
Estados Unidos