Unknown

Dataset Information

Directional Histogram Ratio at Random Probes: A Local Thresholding Criterion for Capillary Images.


ABSTRACT: With the development of micron-scale imaging techniques, capillaries can be conveniently visualized using methods such as two-photon and whole mount microscopy. However, the presence of background staining, leaky vessels and the diffusion of small fluorescent molecules can lead to significant complexity in image analysis and loss of information necessary to accurately quantify vascular metrics. One solution to this problem is the development of accurate thresholding algorithms that reliably distinguish blood vessels from surrounding tissue. Although various thresholding algorithms have been proposed, our results suggest that without appropriate pre- or post-processing, the existing approaches may fail to obtain satisfactory results for capillary images that include areas of contamination.

SUBMITTER: Lu N 

PROVIDER: S-EPMC3601758 | biostudies-literature | 2013 Jul

REPOSITORIES: biostudies-literature