Literature DB >> 12553009

Computerized quantitative color analysis for histological study of pulmonary fibrosis.

Antonio Carai1, Giacomo Diaz, Rosa Santa Cruz, Giuseppe Santa Cruz.   

Abstract

BACKGROUND: Color segmentation is a process through which particular structures can be identified and isolated by the same image according to their color. This may prove particularly useful for the quantification of human pulmonary fibrosis through computerized color segmentation methods applied to trichromic stainings. The aim of this study was to develop and verify a reliable method in order to obtain reproducible parameters of fibrosis using trichromic stainings.
MATERIALS AND METHODS: The system used is composed of a PC, hardware and software (Image-Pro Plus 4.1-Media Cybernetics, U.S.A.) for image acquisition and analysis, TV camera and optical microscope. The method requires preliminary software procedures of spatial calibration (micron scale) and setting of color segmentation for quantitative color analysis. Massonstained histological specimens of pulmonary parenchyma, with various degree of fibrosis, were analyzed from 10 cases of different lung diseases.
RESULTS: Statistical data of the morphological components identified (space, tissue and fibrosis) support the hypothesis that fibrosis distribution depends on relative amount in the tissue and at the same time attest to the precision of the method.
CONCLUSION: This procedure could represent a standard method for histopathological evaluation of tissular damage, with fibrosis outcome, especially in connection with the diagnosis and the seriousness of the damage. This would be extremely useful in both the anatomo-pathological and pathological-forensic fields, to make more objective and reproducible quantitative evaluations of pulmonary damage on autopsy or of bioptic material.

Entities:  

Mesh:

Year:  2002        PMID: 12553009

Source DB:  PubMed          Journal:  Anticancer Res        ISSN: 0250-7005            Impact factor:   2.480


  3 in total

1.  Effects of image compression on automatic count of immunohistochemically stained nuclei in digital images.

Authors:  Carlos López; Marylène Lejeune; Patricia Escrivà; Ramón Bosch; Maria Teresa Salvadó; Lluis E Pons; Jordi Baucells; Xavier Cugat; Tomás Alvaro; Joaquín Jaén
Journal:  J Am Med Inform Assoc       Date:  2008-08-28       Impact factor: 4.497

2.  Validation of methodologies for quantifying isolated human islets: an Islet Cell Resources study.

Authors:  H J Kissler; J C Niland; B Olack; C Ricordi; B J Hering; A Naji; F Kandeel; J Oberholzer; L Fernandez; J Contreras; T Stiller; J Sowinski; D B Kaufman
Journal:  Clin Transplant       Date:  2009-08-30       Impact factor: 2.863

3.  A fully automated image analysis method to quantify lung fibrosis in the bleomycin-induced rat model.

Authors:  Shanon Seger; Manuel Stritt; Enrico Vezzali; Oliver Nayler; Patrick Hess; Peter M A Groenen; Anna K Stalder
Journal:  PLoS One       Date:  2018-03-16       Impact factor: 3.240

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.