Below are some examples of how Definiens has solved challenging image analysis tasks and enabled better decisions.
Identification of a More Accurate Scoring System to Stratify Patients
By quantifying all tissue features and their relationships in context, statistical methods can be used to identify the most relevant and accurate scoring system. The aim of this study was to compare routine manual scoring of five biomarkers in esophageal adenocarcinomas to digital image analysis. By using Definiens technology, the scoring system was improved and the authors concluded that digital image analysis was superior to visual scoring.
The Power of Tissue Phenomics®: The Discovery of a Novel Signature to Improve Patient Stratification
Using the Tissue Phenomics approach, Definiens developed a comprehensive diagnostic test that exceeded traditional manual scoring for predicting therapy response.
Power of Tissue Phenomics®: Morphological Features Associated with Survival
Morphological data can only be quantitatively assessed with automated image analysis technologies. Interpreting the data and correlating it with patient information often requires advanced data processing and mining tools. Using Definiens technology to capture and mine morphological data, researchers are making discoveries that may predict survival times in many patient populations.
Automated Scoring Enables Pathologists to More Efficiently Assess Patient Cases in Diagnostics
Automated image analysis provides pathologists and physicians with critical and reliable information that supports treatment decisions for their patients in routine clinical settings. By processing more than 2000 slides per day, Clarient has proven that image analysis is a scalable and long-term solution.
Assessment of Morphological Changes in H&E Stained Intestinal Crypts
Scientists at Genentech demonstrate that automated image analysis can increase the efficiency of scoring tasks that traditionally require expert pathologists - the scoring of crypt loss and infiltration in a mouse model of colitis.