SMART SENSING insights

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...

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...

Manual Spatial Proteomics: Fusing Cycles into OME-TIF was Never Easier

Spatial Proteomics was named the Nature Method of the Year 2024. One predominant method is Cyclic Immunofluorescence (CycIF). Here, a tissue sample is stained and scanned during a first cycle. Next, the stain is bleached away, and the sample is...

Precision Matters: Wearable Validation for Professional Sports

For many, wearables such as smartwatches or smart rings have become an integral part of everyday life. Particularly in sports and fitness, consumer wearables play a crucial role in tracking health data and individual performance. This growing...

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