Image analysis with Morphometry

The Morphometry algorithm enables Regions of Analysis (ROAs) to be determined or tissues or cells to be quantified. Quantification is done using luminosity and hue thresholds and morphomathematical operators. This algorithm is frequently used for very varied types of quantification. These include: quantification of hepatic or renal fibrosis, pancreatic testing, islets of Langerhans, quantification of cellular density in the bladder, steatosis testing, etc.


The protocol :

The different stages of image analysis using the Morphometry algorithm are as follows :

  • Image segmentation
    Luminance segmentation is done on one of the colorimetric axes. This stage enables any elements not constituting objects for analysis to be hidden.
  • Image segmentation
    A second segmentation based on hue is then carried out.
  • Application of morphomathematical operators
    Analysis is refined by applying morphomathematical criteria such as smoothing, erosion and dilation, watershed, size, etc.

Results present the number of segmented objects as well as the surface area occupied by the objects. They include a description of each of the objects. An ROA can be carried out from the segmentation mask.