↓ Skip to main content

Dermal type I collagen assessment by digital image analysis*

Overview of attention for article published in Anais Brasileiros de Dermatologia, January 2015
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
15 Dimensions

Readers on

mendeley
26 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Dermal type I collagen assessment by digital image analysis*
Published in
Anais Brasileiros de Dermatologia, January 2015
DOI 10.1590/abd1806-4841.20153331
Pubmed ID
Authors

Gabrielli Brianezi, Fabrizio Grandi, Ediléia Bagatin, Mílvia Maria S. S. Enokihara, Hélio Amante Miot

Abstract

AbstractType I collagen is the main dermal component, and its evaluation is relevant to quantitative studies in dermatopathology. However, visual gradation (0 to 4+) has low precision and high subjectivity levels. This study aimed to develop and validate a digital morphometric analysis technique to estimate type I collagen levels in the papillary dermis. Four evaluators visually quantified (0 to 4+) the density of type I collagen in 63 images of forearm skin biopsies marked by immunohistochemistry and two evaluators analyzed the same images using digital morphometric techniques (RGB split colors (I) and color deconvolution (II)). Automated type I collagen density estimation in the papillary dermis (two techniques) were correlated with visual evaluations (Spearman's rho coefficients of 0.48 and 0.62 (p<0.01)). With regard to the inter-observer repeatability, the four evaluators who used visual classification had an intraclass correlation coefficient (for absolute agreement) of 0.53, while the other two evaluators who used digital analysis (algorithm II) had an intraclass correlation coefficient of 0.97.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 5 19%
Student > Master 4 15%
Other 2 8%
Lecturer 2 8%
Researcher 2 8%
Other 6 23%
Unknown 5 19%
Readers by discipline Count As %
Medicine and Dentistry 9 35%
Veterinary Science and Veterinary Medicine 2 8%
Engineering 2 8%
Biochemistry, Genetics and Molecular Biology 1 4%
Immunology and Microbiology 1 4%
Other 4 15%
Unknown 7 27%