Definiens Tissue Studio

Definiens Tissue Studio

Definiens Tissue Studio is a digital pathology image analysis software application developed and marketed by Definiens AG (Munich, Germany). The intended use of Definiens Tissue Studio is for biomarker translational research in formalin-fixed, paraffin-embedded tissue samples which have been treated with immunohistochemical staining assays, or hematoxylin and eosin (H&E).[1]

The central concept behind Definiens Tissue Studio is a user interface that facilitates machine learning from example digital histopathology images in order to derive an image analysis solution suitable for the measurement of biomarkers and/or histological features within pre-defined regions of interest on a cell-by-cell basis, and within sub-cellular compartments.[2] The derived image analysis solution is then automatically applied to subsequent digital images in order to objectively measure defined sets of multiparametric image features. These data sets are used for further understanding the underlying biological processes that drive cancer and other diseases.[3] Image processing and data analysis are performed either on a local desktop computer workstation, or on a server grid.[4]

Definiens Tissue Studio is based on Definiens' Cognition Network Technology,[5] which was originally developed by the 1986 Physics Nobel Laureate, Dr. Gerd Binnig.


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