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...

My Car, my Health Center: The Future of Automotive Health

Imagine a future where your vehicle not only transports you safely from A to B but also actively monitors your health, including cognitive load, during every journey. This vision is rapidly becoming a reality with the integration of health...

Data Quality Makes or Breaks Your Model – Meet Metric Hub for Medical AI

If you’re developing AI‑driven health technologies or medical robotics, you are moving fast – but clinical adoption and regulatory approval depend on something far less glamorous: the quality of your data.

Clock Drifts – Oscillator Tolerances in Embedded Systems

When sampling data from multiple physically disconnected devices, their internal clocks inevitably drift apart – much like two wristwatches that gradually lose synchronization. This drift creates timing mismatches that complicate the alignment of...

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...

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