A Model-based approach for microvasculature structure distortion correction in two-photon fluorescence microscopy images.

ABSTRACT: This paper investigates a postprocessing approach to correct spatial distortion in two-photon fluorescence microscopy images for vascular network reconstruction. It is aimed at in vivo imaging of large field-of-view, deep-tissue studies of vascular structures. Based on simple geometric modelling of the object-of-interest, a distortion function is directly estimated from the image volume by deconvolution analysis. Such distortion function is then applied to subvolumes of the image stack to adaptively adjust for spatially varying distortion and reduce the image blurring through blind deconvolution. The proposed technique was first evaluated in phantom imaging of fluorescent microspheres that are comparable in size to the underlying capillary vascular structures. The effectiveness of restorin

SUBMITTER: Dao L 

PROVIDER: S-EPMC4619154 | biostudies-literature | 2015 Nov

REPOSITORIES: biostudies-literature