Detailed Information on Publication Record
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 |
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