Development of an image processing software for quantification of histological calcification staining images.

ABSTRACT: Quantification of the histological staining images gives important insights in biomedical research. In wet lab, it is common to have some stains off the target to become unwanted noisy stains during the generation of histological staining images. The current tools designed for quantification of histological staining images do not consider such situations; instead, the stained region is identified based on assumptions that the background is pure and clean. The goal of this study is to develop a light software named Staining Quantification (SQ) tool which could handle the image quantification job with features for removing a large amount of unwanted stains blended or overlaid with Region of Interest (ROI) in complex scenarios. The core algorithm was based on the method of higher order statis

SUBMITTER: Li X 

PROVIDER: S-EPMC10553316 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature