Monitoring dynamic collagen reorganization during skin stretching with fast polarization-resolved second harmonic generation imaging.


Journal

Journal of biophotonics
ISSN: 1864-0648
Titre abrégé: J Biophotonics
Pays: Germany
ID NLM: 101318567

Informations de publication

Date de publication:
05 2019
Historique:
received: 03 09 2018
revised: 04 12 2018
accepted: 02 01 2019
pubmed: 4 1 2019
medline: 25 8 2020
entrez: 4 1 2019
Statut: ppublish

Résumé

The mechanical properties of biological tissues are strongly correlated to the specific distribution of their collagen fibers. Monitoring the dynamic reorganization of the collagen network during mechanical stretching is however a technical challenge, because it requires mapping orientation of collagen fibers in a thick and deforming sample. In this work, a fast polarization-resolved second harmonic generation microscope is implemented to map collagen orientation during mechanical assays. This system is based on line-to-line switching of polarization using an electro-optical modulator and works in epi-detection geometry. After proper calibration, it successfully highlights the collagen dynamic alignment along the traction direction in ex vivo murine skin dermis. This microstructure reorganization is quantified by the entropy of the collagen orientation distribution as a function of the stretch ratio. It exhibits a linear behavior, whose slope is measured with a good accuracy. This approach can be generalized to probe a variety of dynamic processes in thick tissues.

Identifiants

pubmed: 30604478
doi: 10.1002/jbio.201800336
doi:

Substances chimiques

Collagen 9007-34-5

Types de publication

Editorial Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e201800336

Subventions

Organisme : Agence Nationale de la Recherche
ID : ANR-13-BS09-0004-02
Pays : International
Organisme : Agence Nationale de la Recherche
ID : ANR-11-EQPX-0029
Pays : International
Organisme : Agence Nationale de la Recherche
ID : ANR-10-INBS-04
Pays : International

Informations de copyright

© 2019 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Auteurs

Guillaume Ducourthial (G)

LOB, École Polytechnique, CNRS, INSERM, Palaiseau, France.

Jean-Sébastien Affagard (JS)

LMS, École Polytechnique, CNRS, Palaiseau, France.

Margaux Schmeltz (M)

LOB, École Polytechnique, CNRS, INSERM, Palaiseau, France.

Xavier Solinas (X)

LOB, École Polytechnique, CNRS, INSERM, Palaiseau, France.

Maeva Lopez-Poncelas (M)

LMS, École Polytechnique, CNRS, Palaiseau, France.

Christelle Bonod-Bidaud (C)

Institut de Génomique Fonctionnelle de Lyon, ENS-Lyon, CNRS, Université de Lyon, Lyon, France.

Ruth Rubio-Amador (R)

Institut de Génomique Fonctionnelle de Lyon, ENS-Lyon, CNRS, Université de Lyon, Lyon, France.

Florence Ruggiero (F)

Institut de Génomique Fonctionnelle de Lyon, ENS-Lyon, CNRS, Université de Lyon, Lyon, France.

Jean-Marc Allain (JM)

LMS, École Polytechnique, CNRS, Palaiseau, France.
Inria, Université Paris-Saclay, Palaiseau, France.

Emmanuel Beaurepaire (E)

LOB, École Polytechnique, CNRS, INSERM, Palaiseau, France.

Marie-Claire Schanne-Klein (MC)

LOB, École Polytechnique, CNRS, INSERM, Palaiseau, France.

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Classifications MeSH