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 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

Digital Pathology Life Science

Prognostic factors in Colorectal Cancer

Cancer staging The outcome in patients with cancer is determined by a combination of numerous factors. The personalized treatment of a cancer patient depends on the site of origin of the cancer, the morphologic type...

Nathalie Falk

June 30, 2023

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

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

Prognostic factors in Colorectal Cancer

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Category - Life Science

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