MorphCheck

The identification of high resolution tissue images is a very complex and resource consuming process because of the size of the images and staining properties. Recognising the tissue components with the appropriate precision (the morphological and morphometric parameters of these components) can provide background for the automated status analysis of the examined patients. The distinguishing of the ill and healthy parts of a tissue enables more precise labelling for the scoring parameters and labelling indexes. We can apply this for the automatic diagnosis of different kinds of components (statistical index-number of nucleus, gland and epidermis detection results), that have been made detectable by various stainning methods (for example: HE) and algorithms can be developed for the identification of the healthy, the inflamed, the hyperplastic and the tumorous mutation.

The MorphCheck software helps identify the surface epithelium, glands, lamina muscularis, submucosa, and other structures on digital recordings of HE stained routine sections. Via digital and tissue sections utilizing an integrated classifier software solution the program is able to tell with good percentage whether the given tissue is healthy or ill (for example: inflammatory or neoplastic condition). The developed algorithms, tissue parameters, texture database solutions, and the entire MorphCheck framework can be applied to the automated analysis of various staining methods, and for pattern-recognition of mutations in other type of tissues.