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 you’re looking for quick tips or...

Volker Bruns

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Digital Pathology MIKAIA University Spatial Biology

MIKAIA University

MIKAIA® University is the central MIKAIA® learning portal. Here you can find various App Notes and Video Tutorials that describe typical MIKAIA® workflows either from a technical or medical perspective. As we are continuously adding more content...

Volker Bruns

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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 the cell subpopulations change...

Volker Bruns

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Digital Pathology MIKAIA University

MIKAIA FAQs

Volker Bruns

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Digital Pathology MIKAIA University Spatial Biology

MIKAIA University

Volker Bruns

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Digital Pathology Life Science MIKAIA University

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

Volker Bruns

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Digital Pathology MIKAIA University

MIKAIA FAQs

Volker Bruns

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Category - MIKAIA University

MIKAIA University is the central learning and resources portal for MIKAIA® users. It aims to illustrate how MIKAIA^® can be used to make discoveries or automate quantitative analysis in Digital Pathology & Spatial Biology, offering app notes, FAQs, video tutorials, and more.

Digital Pathology Life Science MIKAIA University

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

Volker Bruns

February 12, 2025

Digital Pathology MIKAIA University

MIKAIA FAQs

Volker Bruns

February 3, 2025

Digital Pathology MIKAIA University Spatial Biology

MIKAIA University

Volker Bruns

December 17, 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 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

Digital Pathology Life Science MIKAIA University

MIKAIA: Differential IHC Cell Detection by ROI

This article is based on a our presentation “IHC Cell Analysis — More than just Cell Counting: A proposed Workflow” at the European Conference for Digital Pathology (ECDP) 2024 in Vilnius, Lithuania...

Volker Bruns

July 16, 2024

Digital Pathology Life Science MIKAIA University Spatial Biology

WSI and Annotation File Format I/O Support in MIKAIA

MIKAIA® supports various I/O formats, find out which ones. Importable whole-slide-image file formats Format / VendorCommentsOME-TIFFBrightfield and fluorescence. Z-stacks and timelines supported (mutually-exclusive). No...

Volker Bruns

May 29, 2024

Digital Pathology MIKAIA University

MIKAIA: Quantifying Perineural Invasion in Duplex IHC

This MIKAIA® App Note shows how to quantify tumor in proximity to nerve fibers (perineural invasion) in a IHC duplex-stained tissue section, where nerves appear red (antigen: S100) and tumor brown (antigen:...

Volker Bruns

April 3, 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. Working with MIKAIA® is easier when these annotation concepts are known and...

Volker Bruns

January 5, 2024

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

MIKAIA FAQs

MIKAIA University

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

MIKAIA FAQs

MIKAIA University

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

MIKAIA FAQs

Category - MIKAIA University

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

MIKAIA FAQs

MIKAIA University

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

MIKAIA: Build H&E Analysis using Multiple AIs

MIKAIA: Differential IHC Cell Detection by ROI

WSI and Annotation File Format I/O Support in MIKAIA

MIKAIA: Quantifying Perineural Invasion in Duplex IHC

Annotation Concepts in MIKAIA for Whole-Slide-Images

MIKAIA HER2 FISH App

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