Highly accurate, automated quantification of 2D/3D orientation for cerebrovasculature using window optimizing method.

ABSTRACT: SignificanceDeep-imaging of cerebral vessels and accurate organizational characterization are vital to understanding the relationship between tissue structure and function.AimWe aim at large-depth imaging of the mouse brain vessels based on aggregation-induced emission luminogens (AIEgens), and we create a new algorithm to characterize the spatial orientation adaptively with superior accuracy.ApproachAssisted by AIEgens with near-infrared-II excitation, three-photon fluorescence (3PF) images of large-depth cerebral blood vessels are captured. A window optimizing (WO) method is developed for highly accurate, automated 2D/3D orientation determination. The application of this system is demonstrated by establishing the orientational architecture of mouse cerebrovasculature down to the millimet

SUBMITTER: Meng J 

PROVIDER: S-EPMC9587757 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature