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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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 App, click “+” to...

Michaela Benz

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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 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

Digital Pathology Life Science

IHC Staining and Molecular Biomarkers

Cancer is a major cause of mortality worldwide, and the evaluation of predictive and prognostic markers is crucial in its pathologic assessment. Immunohistochemistry (IHC) is commonly used to evaluate biomarker status...

Nathalie Falk

July 21, 2024

Digital Pathology Life Science MIKAIA University

MIKAIA: Build H&E Analysis using Multiple AIs

MIKAIA® is specifically designed for researchers in academia, CROs, biotech, pharma. One of the challenges is that researchers by design do unique things. For this reason, MIKAIA® apps do not represent individual side...

Volker Bruns

July 17, 2024

Xenium Analysis with the MIKAIA Cell x Gene App

CISH App Explained

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

Category - Life Science

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”

IHC Staining and Molecular Biomarkers

MIKAIA: Build H&E Analysis using Multiple AIs

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Category - Life Science

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