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Digital PathologyLife ScienceMIKAIA University

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...

Avatar photoMichaela Benz
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Digital PathologyLife ScienceMIKAIA University

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...

Avatar photoMichaela Benz
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Visualization of MIKAIA's slide alignment module
Digital PathologyLife ScienceMIKAIA UniversitySpatial Biology

MIKAIA’s Slide Alignment: An Overview

With the upcoming MIKAIA® 3 release (scheduled for Q1 2026), MIKAIA® will receive a new multi-omics slide alignment module, “MIKAIA® Slide Align“. Based on a 3-phase registration process, the last one being a non-rigid deformation for...

Avatar photoVolker Bruns
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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.

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