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-defined regions as well as across...

Grit Nickel

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Digital Pathology Life Science MIKAIA University

IHC Cell Detection App explained

The IHC Cell Detection 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 app. Time codes of chapters 00:00...

Volker Bruns

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Life Science MIKAIA University Spatial Biology

MIKAIA mIF Cell Segmentation AI Gallery

This gallery highlights MIKAIA's mIF Cell Segmentation in the FL Cell Analysis App, featuring various examples and an overview of the AI's three segmentation modes and various cell typing options.

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

Ultimate Guide: 10 Things to Know about the Transformational Impact of Digital Pathology

Digital Pathology is a new data source to transform medicine Medscape – Oct 15, 2014. This was the hook line of a 2014 article in Medscape we stumbled across the other day. Ten years later...

Grit Nickel

January 25, 2024

Digital Pathology MIKAIA University

Annotation Concepts in MIKAIA for Whole-Slide-Images

The first step to creating a supervised Digital Pathology AI is to annotate whole-slide-images. MIKAIA® uses various annotation concepts, and understanding these concepts will make your experience with MIKAIA® much...

Volker Bruns

January 5, 2024

Life Science

AI Will Survive: Integrating Artificial Intelligence in the Life Sciences

AI is on the rise in pretty much every scientific field (at least it feels that way). We talked to Nathalie Falk, one of the voices behind the MIKAIA University application notes, molecular biologist with a PhD in...

Volker Bruns

Grit Nickel

December 11, 2023

Digital Pathology MIKAIA University

MIKAIA HER2 FISH App

About 20 % to 25 % of breast cancers depend on amplification and overexpression of the gene human epidermal growth factor receptor 2 (HER2). The HER2 overexpression status will initially be assessed by...

Nathalie Falk

November 9, 2023

Poster on a preclinical immunotoxicity study on immunotoxic effects of the TherVacB vaccine in liver tissue

Digital Pathology Life Science

TherVacB Vaccine: MIKAIA Used in Preclinical Immunotoxicity Study

The TherVacB project, led by Helmholtz Zentrum München, received a five-year funding within the Horizon 2020 program. With TherVacB, a therapeutic vaccine to cure Hepatitis B, the project’s aim is to provide a...

Volker Bruns

November 6, 2023

Digital Pathology Life Science MIKAIA University

IHC Profiler in MIKAIA – Assessing New IHC Assay Using Multi-organ TMA

When designing a new immunohistochemistry (IHC) assay, a quantitative assessment of how it “responds” in different tissues of various organs is insightful and helps optimizing the assay in an objective way...

Volker Bruns

October 12, 2023

Digital Pathology MIKAIA University Spatial Biology

MIKAIA Spatial Clustering App

Tumor cells dynamically interact with their microenvironment to stimulate cancer development, progression, and metastasis. To understand the biology of the tumor-immune interactions, it is essential to identify tumoral...

Nathalie Falk

October 9, 2023

Two researchers are working with digital pathology software MICAIA

Digital Pathology Life Science

Into the Wild: Building Robust AI Models for Digital Pathology

Digital pathology and artificial intelligence (AI) go hand in hand to revolutionize medical diagnostics. However, pathology AI models must be able to cope with a very large variety of histological images if they are to...

Peer Graulich

September 22, 2023

Digital Pathology MIKAIA University Spatial Biology

MIKAIA-Analysis of Human Pancreas 4plex Scanned with NanoString GeoMx DSP

In this MIKAIA® University application note, we guide you through the analysis of a common use case, coexpression of marker combinations in islets of Langerhans and surrounding tissue in a pancreas 4plex imaged with...

Nathalie Falk

August 3, 2023

Digital Pathology MIKAIA University Spatial Biology

MIKAIA-Analysis of Human Tonsil 15plex Imaged with Akoya PhenoCycler-Fusion

In this MIKAIA® University application note, we guide you through the analysis of a common use case, coexpression of marker combinations in lymphoid follicles and interfollicular tissue in a tonsil 15plex imaged with...

Nathalie Falk

July 20, 2023

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

IHC Cell Detection App explained

MIKAIA mIF Cell Segmentation AI Gallery

Category - Life Science

Ultimate Guide: 10 Things to Know about the Transformational Impact of Digital Pathology

Annotation Concepts in MIKAIA for Whole-Slide-Images

AI Will Survive: Integrating Artificial Intelligence in the Life Sciences

MIKAIA HER2 FISH App

TherVacB Vaccine: MIKAIA Used in Preclinical Immunotoxicity Study

IHC Profiler in MIKAIA – Assessing New IHC Assay Using Multi-organ TMA

MIKAIA Spatial Clustering App

Into the Wild: Building Robust AI Models for Digital Pathology

MIKAIA-Analysis of Human Pancreas 4plex Scanned with NanoString GeoMx DSP

MIKAIA-Analysis of Human Tonsil 15plex Imaged with Akoya PhenoCycler-Fusion

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Category - Life Science

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