Life Science Spatial Biology

Analyzing Singular Genomics G4X™ Multi-Omics Datasets with MIKAIA

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 morphology via fluorescent...

Volker Bruns

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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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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

Digital Pathology

Size Matters. — How much Data does a Digital Pathologist actually Generate?

It’s 2025 and a growing number of pathologists is already convinced, that going digital is worth it. (If you’re still on the fence, read our Ultimate Guide: 10 Things You Should Know about the Transformational Impact of...

Anna Chiwona

April 2, 2025

Screenshot of the Cellular Neighborhood App

Digital Pathology Life Science MIKAIA University Spatial Biology

MIKAIA Cellular Neighborhood App Explained

The MIKAIA® Cellular Neighborhood App can yield statistics about the cellular microenvironment, i.e., identify cell niches or cellular communities. This presents a type of spatial analysis of cell populations detected...

Michaela Benz

March 10, 2025

Digital Pathology Life Science MIKAIA University

Proximity Analysis: Quantifying Cell Subpopulations in Vicinity of Intratumoral Microdevice (IMD)

The Laboratory for Bio-Micro Devices at Brigham and Women’s Hospital () develops drug releasing implantable intratumoral microdevices (IMD) [1]. Using MIKAIA®, they want to examine in a quantitative fashion how...

Volker Bruns

February 12, 2025

Digital Pathology MIKAIA University

MIKAIA FAQs

Welcome to our MIKAIA FAQs. We know that navigating a flexible digital pathology & spatial biology image analysis software like MIKAIA® can raise a lot of questions, and we’re here to help. Whether...

Volker Bruns

February 3, 2025

Life Science Spatial Biology

Programming-free Single Cell Analysis of CODEX TMA with MIKAIA

CODEX, now called PhenoCycler, by Akoya Biosciences, along with other sequential immunofluorescence technologies (e.g., Lunaphore (Comet), Miltenyi Biotech (MACSima), Leica Microsystems (Cell DIVE), or other vendors)...

Volker Bruns

December 18, 2024

Digital Pathology MIKAIA University Spatial Biology

MIKAIA University

MIKAIA® University is the central MIKAIA® learning portal.
You will find various app notes and video tutorials that outline typical MIKAIA® workflows.

Volker Bruns

December 17, 2024

Digital Pathology Life Science

Quantify Histological Growth Pattern or Spatial Heterogeneity with the Grid Analysis App

Result of Grid Analysis App shows histological growth pattern and spatial heterogeneity

Volker Bruns

December 10, 2024

Digital Pathology Life Science MIKAIA University

MIKAIA AI Author: Create New AI and Batch-analyze an Entire Dataset

MIKAIA® AI Author used for Digital Pathology batch analysis

Michaela Benz

December 10, 2024

Digital Pathology Life Science Spatial Biology

2 Articles in Trillium Pathology 2024

We have contributed two article’s to this year’s Trillium Pathology issue. Here are the abstracts, with links to the full articles: V. Bruns, Programming-free Image-Analysis Workflows for IHC, IF and Spatial...

Volker Bruns

July 30, 2024

Digital Pathology Life Science

MIKAIA Plugin API: “Plug in your own AI”

This app note describes the MIKAIA Plugin API. It can be used by bioinformaticians to plug in their own AI script, e.g., written in Python or any other language, into MIKAIA® and this way put their AI into the hands of...

Volker Bruns

July 26, 2024

Analyzing Singular Genomics G4X™ Multi-Omics Datasets with MIKAIA

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

Category - Life Science

Size Matters. — How much Data does a Digital Pathologist actually Generate?

MIKAIA Cellular Neighborhood App Explained

Proximity Analysis: Quantifying Cell Subpopulations in Vicinity of Intratumoral Microdevice (IMD)

MIKAIA FAQs

Programming-free Single Cell Analysis of CODEX TMA with MIKAIA

MIKAIA University

Quantify Histological Growth Pattern or Spatial Heterogeneity with the Grid Analysis App

MIKAIA AI Author: Create New AI and Batch-analyze an Entire Dataset

2 Articles in Trillium Pathology 2024

MIKAIA Plugin API: “Plug in your own AI”

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Category - Life Science

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