A novel method to assess collagen architecture in skin

BMC Bioinformatics

Kenneth Langlands¹  Sabah Jassim²  Michael A Cawthorne¹  Edward T Wargent¹  Claire J Stocker¹  Parvathy E Harikumar¹  Joanne L Selway¹  Osman S Osman² 

[1]The Clore Laboratory, The University of Buckingham, Hunter Street, Buckingham MK18 1EG, UK

[2]Department of Applied Computing, The University of Buckingham, Hunter Street, Buckingham MK18 1EG, UK

关键词: Type 2 diabetes mellitus;    Basketweave;    Collagen;    Histology;    Ageing;    Dermis;    Gabor filter;    Fast fourier transform;   

Others  :  1087776
DOI  :  10.1186/1471-2105-14-260

 received in 2013-01-14, accepted in 2013-08-21,  发布年份 2013

【 摘 要 】

Background

Texture within biological specimens may reveal critical insights, while being very difficult to quantify. This is a particular problem in histological analysis. For example, cross-polar images of picrosirius stained skin reveal exquisite structure, allowing changes in the basketweave conformation of healthy collagen to be assessed. Existing techniques measure gross pathological changes, such as fibrosis, but are not sufficiently sensitive to detect more subtle and progressive pathological changes in the dermis, such as those seen in ageing. Moreover, screening methods for cutaneous therapeutics require accurate, unsupervised and high-throughput image analysis techniques.

Results

By analyzing spectra of images post Gabor filtering and Fast Fourier Transform, we were able to measure subtle changes in collagen fibre orientation intractable to existing techniques. We detected the progressive loss of collagen basketweave structure in a series of chronologically aged skin samples, as well as in skin derived from a model of type 2 diabetes mellitus.

Conclusions

We describe a novel bioimaging approach with implications for the evaluation of pathology in a broader range of biological situations.

【 授权许可】

   
2013 Osman et al.; licensee BioMed Central Ltd.

【 图 表 】

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