Life Science Spatial Biology

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 analysis, helping laboratories...

Volker Bruns

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Life Science MIKAIA University Spatial Biology

Xenium Analysis with the MIKAIA Cell x Gene App

The MIKAIA® Cell x Gene App can be used to analyze FISH (or similar, e.g., RNAscope), CISH, or spatial transcriptomics scans, including Xenium by 10x Genomics. For Xenium data in particular, this app is the right choice, supporting three types of...

Volker Bruns

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Digital Pathology Life Science MIKAIA University

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...

Volker Bruns

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Category - Life Science

Common category to topics from Digital Pathology, Computational Pathology, Spatial Biology as well as applications and technologies left and right.

Digital Pathology

Spatial Biology

Life Science Spatial Biology

Cell Typing and Neighborhood Analysis of mIF 20plex Tonsil Tissue Using MGI VisiOmics and MIKAIA studio

Volker Bruns

September 14, 2026

Life Science MIKAIA University Spatial Biology

Xenium Analysis with the MIKAIA Cell x Gene App

Volker Bruns

April 17, 2026

Digital Pathology Life Science MIKAIA University

CISH App Explained

Volker Bruns

March 30, 2026

Digital Pathology Life Science MIKAIA 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...

Michaela Benz

January 16, 2026

Digital Pathology Life Science MIKAIA 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...

Michaela Benz

January 15, 2026

Visualization of MIKAIA's slide alignment module

Digital Pathology Life Science MIKAIA University Spatial Biology

MIKAIA’s Slide Alignment: An Overview

With the MIKAIA® 3 release (April 2026), MIKAIA® received 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...

Volker Bruns

January 14, 2026

Life Science MIKAIA University Spatial Biology

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...

Volker Bruns

January 14, 2026

Welcome banner at ESMO AI & Digital Oncology meeting

Digital Pathology Life Science

ESMO AI & Digital Oncology 2025 @ Berlin

With 1,150 participants from over 60 countries, the first edition of the ESMO AI & Digital Oncology meeting was an inspiring kick-off for knowledge sharing and building connection building at the intersection of...

Grit Nickel

December 4, 2025

The Divide by ROI functionality is available in the IHC Cell Detection App, among others.

Digital Pathology MIKAIA University

Analyzing and Comparing Regions of Interest – “Divide by ROIs” Special

The “Divide by ROIs” feature in MIKAIA’s analysis apps enables users to compile statistics and enhance their understanding of variations in cell populations. This functionality allows for comparisons between user...

Grit Nickel

November 12, 2025

screenshot of the IHC Cell Detection App video tutorial

Digital Pathology Life Science MIKAIA University

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...

Volker Bruns

October 7, 2025

Cell Typing and Neighborhood Analysis of mIF 20plex Tonsil Tissue Using MGI VisiOmics and MIKAIA studio

Xenium Analysis with the MIKAIA Cell x Gene App

CISH App Explained

Category - Life Science

Cell Typing and Neighborhood Analysis of mIF 20plex Tonsil Tissue Using MGI VisiOmics and MIKAIA studio

Xenium Analysis with the MIKAIA Cell x Gene App

CISH App Explained

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

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

MIKAIA’s Slide Alignment: An Overview

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

ESMO AI & Digital Oncology 2025 @ Berlin

Analyzing and Comparing Regions of Interest – “Divide by ROIs” Special

MIKAIA’s Universal IHC Cell AI App explained

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Category - Life Science

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