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Characterizing differences in the collagen fiber organization of skin wounds using quantitative polarized light imaging.
Woessner, Alan E; McGee, James D; Jones, Jake D; Quinn, Kyle P.
Afiliação
  • Woessner AE; Department of Biomedical Engineering, University of Arkansas, Fayetteville, Arkansas.
  • McGee JD; Department of Biomedical Engineering, University of Arkansas, Fayetteville, Arkansas.
  • Jones JD; Department of Biomedical Engineering, University of Arkansas, Fayetteville, Arkansas.
  • Quinn KP; Department of Biomedical Engineering, University of Arkansas, Fayetteville, Arkansas.
Wound Repair Regen ; 27(6): 711-714, 2019 11.
Article em En | MEDLINE | ID: mdl-31418977
ABSTRACT
Collagen fiber organization requires characterization in many biomedical applications, but it is difficult to objectively quantify in standard histology tissue sections. Quantitative polarized light imaging is a low-cost technique that allows for rapid measurement of collagen fiber orientation and thickness. In this study, we utilize a quantitative polarized light imaging system to characterize fiber orientation and thickness from wound sections. Full thickness skin wound sections that were previously stained with hematoxylin and eosin were used to assess collagen fiber content and organization at different points during the wound healing process. Overall, wounds exhibited a measurable increase in collagen fiber thickness and a nonlinear change in fiber reorganization within the wound. Our study demonstrates that quantitative polarized light imaging is an inexpensive alternative or supplement to standard histology protocols, requiring no additional stains or dyes, and yields repeatable quantitative assessments of collagen organization.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Pele / Ferimentos e Lesões / Processamento de Imagem Assistida por Computador / Colágeno / Microscopia de Polarização Tipo de estudo: Diagnostic_studies Limite: Animals / Humans Idioma: En Revista: Wound Repair Regen Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Pele / Ferimentos e Lesões / Processamento de Imagem Assistida por Computador / Colágeno / Microscopia de Polarização Tipo de estudo: Diagnostic_studies Limite: Animals / Humans Idioma: En Revista: Wound Repair Regen Ano de publicação: 2019 Tipo de documento: Article