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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. (en)
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Title
| - Optimization of a quantitative method for muscle histology assessment
- Optimization of a quantitative method for muscle histology assessment (en)
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skos:prefLabel
| - Optimization of a quantitative method for muscle histology assessment
- Optimization of a quantitative method for muscle histology assessment (en)
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skos:notation
| - RIV/62157124:16270/13:43872391!RIV14-MSM-16270___
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http://linked.open...avai/riv/aktivita
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http://linked.open...avai/riv/aktivity
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http://linked.open...iv/cisloPeriodika
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http://linked.open...vai/riv/dodaniDat
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http://linked.open...aciTvurceVysledku
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http://linked.open.../riv/druhVysledku
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http://linked.open...iv/duvernostUdaju
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http://linked.open...titaPredkladatele
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http://linked.open...dnocenehoVysledku
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http://linked.open...ai/riv/idVysledku
| - RIV/62157124:16270/13:43872391
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http://linked.open...riv/jazykVysledku
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http://linked.open.../riv/klicovaSlova
| - muscle fibre structure; microscopy; mechanically separated meat (MSM); image analysis; histology; destructuration; Calibration (en)
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http://linked.open.../riv/klicoveSlovo
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http://linked.open...odStatuVydavatele
| - US - Spojené státy americké
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http://linked.open...ontrolniKodProRIV
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http://linked.open...i/riv/nazevZdroje
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http://linked.open...in/vavai/riv/obor
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http://linked.open...ichTvurcuVysledku
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http://linked.open...cetTvurcuVysledku
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http://linked.open...UplatneniVysledku
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http://linked.open...v/svazekPeriodika
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http://linked.open...iv/tvurceVysledku
| - Řezáčová Lukášková, Zuzana
- André, Bénédicte
- Coton, Jean-Philippe
- Sifre, Laurence
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http://linked.open...ain/vavai/riv/wos
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number of pages
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http://bibframe.org/vocab/doi
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http://localhost/t...ganizacniJednotka
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