Literature DB >> 3654069

Analysis of microvascular network in bulbar conjunctiva by image processing.

P C Chen1, S W Kovalcheck, B W Zweifach.   

Abstract

A digital image processing procedure has been developed for obtaining quantitative morphometric data on the microcirculatory network in the human bulbar conjunctiva. Highlights of this semi-automated approach include: 1. extraction of morphometric information that cannot be readily obtained by manual methods--length, diameter, and diffusion distributions; 2. speed and consistency in data generation--only 10 minutes are required to scan and to analyze 6.7 mm2 of conjunctiva microvasculature. The variation was less than 5% when images of the same area in the same eye were subjected to analysis at different times; 3. avoid the human bias factor--the data obtained by repeated analysis of the same negative varied by less than 0.02%.

Entities:  

Mesh:

Year:  1987        PMID: 3654069

Source DB:  PubMed          Journal:  Int J Microcirc Clin Exp        ISSN: 0167-6865


  4 in total

1.  Automated hyperemia analysis software: reliability and reproducibility in healthy subjects.

Authors:  Tsuyoshi Yoneda; Tamaki Sumi; Ayako Takahashi; Yasuhiro Hoshikawa; Masahiko Kobayashi; Atsuki Fukushima
Journal:  Jpn J Ophthalmol       Date:  2011-12-01       Impact factor: 2.447

2.  Incremental nature of anterior eye grading scales determined by objective image analysis.

Authors:  J S Wolffsohn
Journal:  Br J Ophthalmol       Date:  2004-11       Impact factor: 4.638

3.  Conjunctival penetration of insulin and peptide drugs in the albino rabbit.

Authors:  E Hayakawa; D S Chien; K Inagaki; A Yamamoto; W Wang; V H Lee
Journal:  Pharm Res       Date:  1992-06       Impact factor: 4.200

4.  Automated grading system for evaluation of ocular redness associated with dry eye.

Authors:  John D Rodriguez; Patrick R Johnston; George W Ousler; Lisa M Smith; Mark B Abelson
Journal:  Clin Ophthalmol       Date:  2013-06-20
  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.