SMART SENSING insights

CISH App Explained

Chromogenic in situ hybridization (CISH) is used to detect specific DNA or RNA sequences in tissue samples. It uses enzyme-based staining rather than fluorescence (FISH), allowing for high-resolution imaging, quantification, and analysis under...

Train your own AI with the Segmentation AI Author: Ovarian Cancer Example

This MIKAIA® University app note demonstrates how to quickly and interactively train your own AI using just a few training annotations, all in a matter of minutes. In the app center, select the Segmentation AI Author App, click “+” to...

Segmentation AI Author Example: Train H&E Vulvar Cancer AI Based on Aligned IHC Serial Sections

This MIKAIA® University app note illustrates how to interactively train a new H&E segmentation AI with serial sections, without having to annotate tumor regions. Instead, an IHC epithelial marker (pan-cytokeratin AE1/AE3) is thresholded through...

Category - Digital Pathology

Browse through our collection of articles and interviews on Digital Pathology, Computational Pathology, and AI as well as app notes for the MIKAIA® whole-slide image analysis software for researchers.

AACR 2023 @ Orlando

With over 20.000 in-person registrants from 87 countries, the AACR 2023 annual meeting in Orlando, Florida, was THE PLACE TO BE when it comes to cancer research. For the first time, we exhibited MIKAIA®. Julia Hetzel...

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