{"id":1017,"date":"2024-07-21T14:17:55","date_gmt":"2024-07-21T12:17:55","guid":{"rendered":"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/?p=1017"},"modified":"2024-09-20T13:06:48","modified_gmt":"2024-09-20T11:06:48","slug":"ihc-markers","status":"publish","type":"post","link":"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/ihc-markers\/","title":{"rendered":"IHC Staining and Molecular Biomarkers"},"content":{"rendered":"\n

Cancer is a major cause of mortality worldwide, and the evaluation of predictive and prognostic markers is crucial in its pathologic assessment. Immunohistochemistry <\/strong>(IHC<\/strong>) is commonly used to evaluate biomarker status and guide the use of specific therapies. However, with over 41,800 publications on IHC biomarkers and 27,300 publications on cancer immunohistochemical markers indexed in PubMed as of 2023, it is a challenge to gain an overview on IHC staining possibilities.<\/p>\n\n\n\n

When interpreting molecular biomarkers, we are faced with the same problem. And since, on the image analysis side, we get into contact with a wide variety of markers in a wide variety of cases, we started to create an overview of immunohistochemical markers. Naturally, this overview is never complete and only a drop in the ocean. <\/p>\n\n\n\n

In terms of image analysis<\/strong> for IHC biomarkers, check out the following MIKAIA\u00ae University<\/a> application notes:<\/p>\n\n\n\n