Quantitative elemental mapping of biological tissues by laser-induced breakdown spectroscopy using matrix recognition.

ABSTRACT: The present study demonstrates the importance of converting signal intensity maps of organic tissues collected by laser-induced breakdown spectroscopy (LIBS) to elemental concentration maps and also proposes a methodology based on machine learning for its execution. The proposed methodology employs matrix-matched external calibration supported by a pixel-by-pixel automatic matrix (tissue type) recognition performed by linear discriminant analysis of the spatially resolved LIBS hyperspectral data set. On a swine (porcine) brain sample, we successfully performed this matrix recognition with an accuracy of 98% for the grey and white matter and we converted a LIBS intensity map of a tissue sample to a correct concentration map for the elements Na, K and Mg. Found concentrations in the grey and

SUBMITTER: Janovszky P 

PROVIDER: S-EPMC10284993 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature