J 2021

Full-Range Optical Imaging of Planar Collagen Fiber Orientation Using Polarized Light Microscopy

TURČANOVÁ, Michaela, Martin HRTOŇ, Petr DVOŘÁK, Kamil NOVÁK, Markéta HERMANOVÁ et. al.

Basic information

Original name

Full-Range Optical Imaging of Planar Collagen Fiber Orientation Using Polarized Light Microscopy

Authors

TURČANOVÁ, Michaela (203 Czech Republic, guarantor), Martin HRTOŇ (203 Czech Republic), Petr DVOŘÁK (203 Czech Republic), Kamil NOVÁK (203 Czech Republic), Markéta HERMANOVÁ (203 Czech Republic, belonging to the institution), Zdeněk BEDNAŘÍK (203 Czech Republic, belonging to the institution), Stanislav POLZER (203 Czech Republic) and Jiří BURŠA (203 Czech Republic)

Edition

BioMed Research International, London, Hindawi, 2021, 2314-6133

Other information

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

30106 Anatomy and morphology

Country of publisher

United Kingdom of Great Britain and Northern Ireland

Confidentiality degree

není předmětem státního či obchodního tajemství

References:

Impact factor

Impact factor: 3.246

RIV identification code

RIV/00216224:14110/21:00119394

Organization unit

Faculty of Medicine

UT WoS

000771938700001

Keywords in English

Full-Range Optical Imaging; Planar Collagen Fiber; Polarized Light Microscopy

Tags

International impact, Reviewed
Změněno: 10/1/2023 10:57, Mgr. Tereza Miškechová

Abstract

V originále

A novel method for semiautomated assessment of directions of collagen fibers in soft tissues using histological image analysis is presented. It is based on multiple rotated images obtained via polarized light microscopy without any additional components, i.e., with just two polarizers being either perpendicular or nonperpendicular (rotated). This arrangement breaks the limitation of 90° periodicity of polarized light intensity and evaluates the in-plane fiber orientation over the whole 180° range accurately and quickly. After having verified the method, we used histological specimens of porcine Achilles tendon and aorta to validate the proposed algorithm and to lower the number of rotated images needed for evaluation. Our algorithm is capable to analyze 5·105 pixels in one micrograph in a few seconds and is thus a powerful and cheap tool promising a broad application in detection of collagen fiber distribution in soft tissues.

Links

GA21-21935S, research and development project
Name: Výpočtové modelování pulzačního proudění v poddajných trubicích s aplikací na tandemovou stenózu karotidy
Investor: Czech Science Foundation