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Statements

Subject Item
n2:RIV%2F62157124%3A16270%2F13%3A43872391%21RIV14-MSM-16270___
rdf:type
skos:Concept n6:Vysledek
dcterms:description
Opticalmicroscopy offers the simplest way to obtainmagnified images of biological tissues. The assessment of the muscle destructuration level can be performed by a method called Meat Destruction Indicator (MDI), which combines optical microscopy and image analysis. MDI can be used for evaluation of food quality and for considering mechanically separated meat (meat raw material with an MDI value above 58.1% contained muscle fibres sufficiently destructured). This paper is particularly focused on themetrological optimization of a quantitative image analysis method around the example of MDI measurement by microscopy, especially on the digital acquisition calibration focusing and analysis workflow. Ten different samples (45 sections) were examined with variable settings of microscope and camera to define the optimal configuration. The testswere performed with different observers to define rules and criteria for results validation. Based on the obtained results, we suggest choosing objective rules to set the light and colour of the camera and the microscope focus. To control the results of the automatic segmentationemergedalso asakeystep,andobjective rules for observers to select or discardwrong segmented images should be defined. The adjusted MDI measurement by microscope can be used as a reliable method with good repeatability, thanks to this metrological assessment, which could and should be applied to all image analysis applications whatever the application. Opticalmicroscopy offers the simplest way to obtainmagnified images of biological tissues. The assessment of the muscle destructuration level can be performed by a method called Meat Destruction Indicator (MDI), which combines optical microscopy and image analysis. MDI can be used for evaluation of food quality and for considering mechanically separated meat (meat raw material with an MDI value above 58.1% contained muscle fibres sufficiently destructured). This paper is particularly focused on themetrological optimization of a quantitative image analysis method around the example of MDI measurement by microscopy, especially on the digital acquisition calibration focusing and analysis workflow. Ten different samples (45 sections) were examined with variable settings of microscope and camera to define the optimal configuration. The testswere performed with different observers to define rules and criteria for results validation. Based on the obtained results, we suggest choosing objective rules to set the light and colour of the camera and the microscope focus. To control the results of the automatic segmentationemergedalso asakeystep,andobjective rules for observers to select or discardwrong segmented images should be defined. The adjusted MDI measurement by microscope can be used as a reliable method with good repeatability, thanks to this metrological assessment, which could and should be applied to all image analysis applications whatever the application.
dcterms:title
Optimization of a quantitative method for muscle histology assessment Optimization of a quantitative method for muscle histology assessment
skos:prefLabel
Optimization of a quantitative method for muscle histology assessment Optimization of a quantitative method for muscle histology assessment
skos:notation
RIV/62157124:16270/13:43872391!RIV14-MSM-16270___
n6:predkladatel
n7:orjk%3A16270
n3:aktivita
n15:O
n3:aktivity
O
n3:cisloPeriodika
1
n3:dodaniDat
n18:2014
n3:domaciTvurceVysledku
n13:3473058
n3:druhVysledku
n16:J
n3:duvernostUdaju
n19:S
n3:entitaPredkladatele
n12:predkladatel
n3:idSjednocenehoVysledku
94443
n3:idVysledku
RIV/62157124:16270/13:43872391
n3:jazykVysledku
n9:eng
n3:klicovaSlova
muscle fibre structure; microscopy; mechanically separated meat (MSM); image analysis; histology; destructuration; Calibration
n3:klicoveSlovo
n10:muscle%20fibre%20structure n10:mechanically%20separated%20meat%20%28MSM%29 n10:destructuration n10:histology n10:image%20analysis n10:Calibration n10:microscopy
n3:kodStatuVydavatele
US - Spojené státy americké
n3:kontrolniKodProRIV
[2C4842FB6902]
n3:nazevZdroje
Journal of Microscopy
n3:obor
n4:GM
n3:pocetDomacichTvurcuVysledku
1
n3:pocetTvurcuVysledku
4
n3:rokUplatneniVysledku
n18:2013
n3:svazekPeriodika
250
n3:tvurceVysledku
Sifre, Laurence Řezáčová Lukášková, Zuzana Coton, Jean-Philippe André, Bénédicte
n3:wos
000315732200006
s:issn
0022-2720
s:numberOfPages
7
n11:doi
10.1111/jmi.12016
n17:organizacniJednotka
16270