Open AccessInfluence of hematoxylin and eosin staining on the quantitative analysis of second harmonic generation imaging of fixed tissue sections
Author(s) -
Radu Hristu,
Stefan G. Stanciu,
Adrian Dumitru,
Bogdan C. Paun,
Iustin Floroiu,
Mariana Costache,
Stefan G. Stanciu
Publication year - 2021
Publication title -
biomedical optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.362
H-Index - 86
ISSN - 2156-7085
DOI - 10.1364/boe.428701
Subject(s) - second harmonic generation , staining , microscopy , optics , h&e stain , materials science , second harmonic imaging microscopy , polarization (electrochemistry) , morphological analysis , biomedical engineering , chemistry , pathology , computer science , laser , physics , artificial intelligence , medicine
Second harmonic generation (SHG) microscopy has emerged over the past two decades as a powerful tool for tissue characterization and diagnostics. Its main applications in medicine are related to mapping the collagen architecture of in-vivo, ex-vivo and fixed tissues based on endogenous contrast. In this work we present how H&E staining of excised and fixed tissues influences the extraction and use of image parameters specific to polarization-resolved SHG (PSHG) microscopy, which are known to provide quantitative information on the collagen structure and organization. We employ a theoretical collagen model for fitting the experimental PSHG datasets to obtain the second order susceptibility tensor elements ratios and the fitting efficiency. Furthermore, the second harmonic intensity acquired under circular polarization is investigated. The evolution of these parameters in both forward- and backward-collected SHG are computed for both H&E-stained and unstained tissue sections. Consistent modifications are observed between the two cases in terms of the fitting efficiency and the second harmonic intensity. This suggests that similar quantitative analysis workflows applied to PSHG images collected on stained and unstained tissues could yield different results, and hence affect the diagnostic accuracy.