Automatic Evaluation of Collagen Fiber Directions from Polarized Light Microscopy Images

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14110%2F15%3A00084554" target="_blank" >RIV/00216224:14110/15:00084554 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/00216305:26210/15:PU114247

Výsledek na webu

<a href="http://dx.doi.org/10.1017/S1431927615000586" target="_blank" >http://dx.doi.org/10.1017/S1431927615000586</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1017/S1431927615000586" target="_blank" >10.1017/S1431927615000586</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Automatic Evaluation of Collagen Fiber Directions from Polarized Light Microscopy Images

Popis výsledku v původním jazyce

Mechanical properties of the arterial wall depend largely on orientation and density of collagen fiber bundles. Several methods have been developed for observation of collagen orientation and density; the most frequently applied collagen-specific manualapproach is based on polarized light (PL). However, it is very time consuming and the results are operator dependent. We have proposed a new automated method for evaluation of collagen fiber direction from two-dimensional polarized light microscopy images (2D PLM). The algorithm has been verified against artificial images and validated against manual measurements. Finally the collagen content has been estimated. The proposed algorithm was capable of estimating orientation of some 35 k points in 15 min when applied to aortic tissue and over 500 k points in 35 min for Achilles tendon. The average angular disagreement between each operator and the algorithm was -9.3 +/- 8.6 degrees and -3.8 +/- 8.6 degrees in the case of aortic tissue and

Název v anglickém jazyce

Automatic Evaluation of Collagen Fiber Directions from Polarized Light Microscopy Images

Popis výsledku anglicky

Mechanical properties of the arterial wall depend largely on orientation and density of collagen fiber bundles. Several methods have been developed for observation of collagen orientation and density; the most frequently applied collagen-specific manualapproach is based on polarized light (PL). However, it is very time consuming and the results are operator dependent. We have proposed a new automated method for evaluation of collagen fiber direction from two-dimensional polarized light microscopy images (2D PLM). The algorithm has been verified against artificial images and validated against manual measurements. Finally the collagen content has been estimated. The proposed algorithm was capable of estimating orientation of some 35 k points in 15 min when applied to aortic tissue and over 500 k points in 35 min for Achilles tendon. The average angular disagreement between each operator and the algorithm was -9.3 +/- 8.6 degrees and -3.8 +/- 8.6 degrees in the case of aortic tissue and

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

FP - Ostatní lékařské obory

OECD FORD obor

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Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2015

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Microscopy and Microanalysis

ISSN

1431-9276

e-ISSN

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Svazek periodika

21

Číslo periodika v rámci svazku

4

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

13

Strana od-do

863-875

Kód UT WoS článku

000358834600008

EID výsledku v databázi Scopus

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