title: Optimization of a quantitative method for muscle histology assessment.
abstract: Optical microscopy offers the simplest way to obtain magnified 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 the metrological optimization of a quantitative image analysis method around the example of MDI measurement by microscopy, especially on the digital acquisition calibration focusing and analysis work-flow. Ten different samples (45 sections) were examined with variable settings of microscope and camera to define the optimal configuration. The tests were 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 segmentation emerged also as a key step, and objective rules for observers to select or discard wrong 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.
authors: Histalim, 126 Rue Emile Baudot, 34000 Montpellier, France. lsifre@histalim.com
authors: L
authors: L
authors: Sifre
authors: J P
authors: JP
authors: Coton
authors: B
authors: B
authors: André
authors: Z
authors: Z
authors: Rezáčová-Lukášková
mesh_terms: D000818:Animals; D001699:Biometry / Q000379:methods*; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008460:Meat; D008853:Microscopy / Q000379:methods*; D009132:Muscles / Q000473:pathology*; D015203:Reproducibility of Results