MIKAIA® studio v3.1 includes native support for viewing and analyzing multi-omics datasets created with Singular Genomics’ G4X™ instrument. G4X features 500plex transcriptomics, 18plex proteomics and same-slide...
Tag - AI
Volker Bruns
Cell Typing and Neighborhood Analysis of mIF 20plex Tonsil Tissue Using MGI VisiOmics and MIKAIA studio
The collaboration aims to show how researchers can use VisiOmics image data within MIKAIA® workflows for cell segmentation, phenotyping, and spatial analysis. This work supports greater flexibility in downstream...
Embodied AI: How to Teach AI to Engage with the World
Are we already at a point where AI is beginning to understand and shape the physical world? Researchers exploring Embodied AI – aka “intelligence with a body” – are starting to push exactly in that direction. We talked...
Grit Nickel
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...
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.
Nadine Lang-Richter
Tobias Sebastian Zech
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...
Michaela Benz
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...
MIKAIA’s Universal IHC Cell AI App explained
The Universal IHC Cell AI App features a universal subcellular IHC cell AI that is compatible with a wide range of markers, tissues, and cell types. Our 23-minute video tutorial guides MIKAIA® step by step through the...
MIKAIA IHC Cell Quantification AI Gallery
This gallery illustrates for a range of different tissue types and IHC markers the cell analysis quality of MIKAIA‘s IHC Cell Detection App. The app first unmixes the stain components, then uses an AI to delineate...
Digital Pathology AI Companies — List of Commercial AIs (CE-IVDR, FDA, RUO)
NEW: This article and the downloadable list was updated on July 15th 2025 2022 – 2024 have been breakthrough years for AI in digital pathology. Many new startups, backed by lots of venture capital, as well as...
