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A novel method for visualisation of elastic fibres - suitable for image analysis and morphometry
Uppsala University, Medicinska vetenskapsområdet, Faculty of Medicine, Department of Women's and Children's Health.
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2001 In: Image analysis and stereology, ISSN 1560-3139, Vol. 20, 522-526 p.Article in journal (Refereed) Published
Place, publisher, year, edition, pages
2001. Vol. 20, 522-526 p.
Identifiers
URN: urn:nbn:se:uu:diva-92279OAI: oai:DiVA.org:uu-92279DiVA: diva2:165294
Available from: 2004-10-28 Created: 2004-10-28Bibliographically approved
In thesis
1. Morphometrical Methodology in Quantification of Biological Tissue Components
Open this publication in new window or tab >>Morphometrical Methodology in Quantification of Biological Tissue Components
2004 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Objective:

To develop and validate computer-assisted morphometrical methods, based on stereological theory, in order to facilitate the analysis and quantitative measurements of biological tissue components.

Material and methods:

Biopsy specimens from the vaginal wall or from the vestibulum vaginae of healthy women, or from women suffering from incontinence or vestibulitis were used.

A number of histochemical methods for light microscopy were used, and modified for the different morphometrical analyses. Electron microscopy was used to reveal collagen fibre diameter.

Computer-assisted morphometry, based on image analysis and stereology, was employed to analyse the different tissue components in the biopsies. Computer programs for these purposes were developed and validated.

Results:

The results show that computer-assisted morphometry is of great value for quantitative measurements of the following tissue components:

Epithelium: The epithelial structure, instead of just thickness, was measured in an unbiased way.

Collagen: The collagen fibril diameter was determined in electron microscopic specimens, and the collagen content was analysed in light microscopic specimens.

Elastic fibres: The amount of elastic fibres in the connective tissue was measured after visualisation by autofluorescence.

Vasculature: A stereological method using a cycloid grid was implemented in a computer program. Healthy subjects were compared with patients suffering from vestibulitis. The results were identical in the two groups.

Smooth muscle: A stereological method using a point grid was implemented in a computer program. Using the Delesse principle, the fibres were calculated as area fractions. The area fractions were highly variable among the different specimens.

Conclusion:

Morphometry, used correctly, is an important analysis method in histopathological research. It is important that the methods are as simple and user-friendly as possible. The present studies show that this methodology can be applied for most quantitative histological analyses.

Place, publisher, year, edition, pages
Uppsala: Acta Universitatis Upsaliensis, 2004. 63 p.
Series
Comprehensive Summaries of Uppsala Dissertations from the Faculty of Medicine, ISSN 0282-7476 ; 1382
Keyword
Bildanalys, Morphometry, Stereology, Image analysis, histology, Bildanalys
National Category
Computer Vision and Robotics (Autonomous Systems)
Identifiers
urn:nbn:se:uu:diva-4628 (URN)91-554-6068-2 (ISBN)
Public defence
2004-11-19, Rosénsalen, Akademiska sjukhuset, Uppsala, 09:15
Opponent
Supervisors
Available from: 2004-10-28 Created: 2004-10-28Bibliographically approved

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