Machine learning-enabled cancer diagnostics with widefield polarimetric second-harmonic generation microscopy.

ABSTRACT: The extracellular matrix (ECM) collagen undergoes major remodeling during tumorigenesis. However, alterations to the ECM are not widely considered in cancer diagnostics, due to mostly uniform appearance of collagen fibers in white light images of hematoxylin and eosin-stained (H&E) tissue sections. Polarimetric second-harmonic generation (P-SHG) microscopy enables label-free visualization and ultrastructural investigation of non-centrosymmetric molecules, which, when combined with texture analysis, provides multiparameter characterization of tissue collagen. This paper demonstrates whole slide imaging of breast tissue microarrays using high-throughput widefield P-SHG microscopy. The resulting P-SHG parameters are used in classification to differentiate tumor from normal tissue, resulting i

SUBMITTER: Mirsanaye K 

PROVIDER: S-EPMC9206659 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature