SMART SENSING insights
Just like Stuttgart Public Library, MIKAIA University is a hub for learning.

MIKAIA University

the central MIKAIA® learning portal

get inspired

(note: in February 2024 MICAIA was renamed to MIKAIA®)

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. The underlying AI technologies are described in our scientific publications. The latest software changes are documented in the MIKAIA® Changelog.

As we are continuously adding more content, please check back frequently or subscribe to the MIKAIA® newsletter, where we announce newly released app notes.

Apps & AIs

MIKAIA® 2.2 (released Feb. 2025) includes 20 apps, 10 of which work for both brightfield and fluorescent scans.
The AI Author App and Plug-in your own AI App can be used to develop additional user-specific apps.

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More details, including a description of each app, are available here.
MIKAIA® is for Research Use Only (RUO).

MIKAIA FAQs with Logo printed on a colorful background

Frequently Asked Questions

Navigating a flexible digital pathology and spatial biology image analysis software like MIKAIA® can bring up many questions — perhaps even before you get started. If our FAQs don’t answer your question, don’t hesitate to drop us a line.

MIKAIA University App Notes & Concepts

MIKAIA University App Notes are blog articles, where we describe a particular MIKAIA® app or a medical use case in a step-by-step fashion. They illustrate how MIKAIA® can be used to make discoveries or automate quantitative analysis in Digital Pathology & Spatial Biology. Our app notes typically describe what the expected input images look like and what quantitative outputs can be generated. They contain many screenshots and explain the concepts or in some cases even the technical background of the image analysis apps.

We are frequently releasing new app notes. Here are the most recent additions:

Overview of spatial analysis capabilities

Videos on all spatial biology analysis apps

MIKAIA Universtiy App Note: MACSima Scan

Analyzing MACSima 47-plex mIF with MIKAIA

AI Cell Segmentation + Cell Typing + Cell-cell Connections + Cellular Neighborhoods

MIKAIA Universtiy App Note: Screenshot of High Content Imaging

High Content Imaging

Analyzing Ex-Vivo Drug Response Assays with MIKAIA®

MIKAIA Universtiy App Note: Screenshot of Cellular Neighborhood App

MIKAIA Cellular Neighborhood App

The Cellular Neighborhood does two insightful analyses at once

MIKAIA® Editions

Don’t worry about selecting which apps you want to purchase. You do not need to select each individual app. Currently, three feature sets are available:

  1. MIKAIA® lite (free)
  2. MIKAIA® studio
  3. MIKAIA® studio + AI App Bundle

If you’d like to try out the MIKAIA® apps on a temporary basis or request a quote, please feel free to email us at mikaia@iis.fraunhofer.de.

Overwiew of MIKAIA apps and their respective edition

User Manual

Download the detailed 100+ pages user manual:

It is also included in the free MIKAIA® installer (download here) and available from within MIKAIA® by clicking “User Manual” in the main “Help” menu.

Licensing Options

By default, we offer perpetual licenses, i.e., once activated, features are available forever, without any follow-up costs.

A license can be node-locked, which means it is locked to a particular PC, or alternatively, we offer single-user or multi-user floating licenses. Here, the activation file is imported on a server in your network. MIKAIA® can then be installed on any computer in your network or on a (VPN-connected) home office laptop. At startup, MIKAIA® will automatically detect the license server and, if a user-slot of the single- or multi-user license is currently free, it will start up as MIKAIA® studio, else as MIKAIA® lite. The licensing modes are also illustrated in the MIKAIA® product brochure.

Working collaboratively

Even though MIKAIA® is not a web-based software, it still can be used collaboratively: The free MIKAIA® lite edition can be used to create annotations manually, but it can also view annotations generated by an analysis conducted with MIKAIA® studio. In other words, user A can run an analysis with MIKAIA® studio on computer A, and later users B-Z can view the results on their own computers using the free MIKAIA® lite edition. MIKAIA® stores annotations decentrally in a small *.ano file next to the whole-slide-image file:

This is handy, because it enables users to move the slide (incl. *.ano file) into another folder and the connection between slide and annotation will not get broken. Users can also keep multiple versions of annotations, simply by creating copies of the *.ano file, or create backups of annotation files, for instance after they have created manual annotations.

It is also possible to create shortcuts to the slides and then put an *.ano file next to the shortcut. When opening the shortcut, MIKAIA® will open the annotations located next to the shortcut instead of the annotation file located next to the original slide. This way, multiple annotation sets can be maintained, without having to duplicate the (large) WSIs. MIKAIA® has built-in dialogs that can be used to batch-create shortcuts or retarget existing shortcuts (in case the original WSIs have been relocated).

MIKAIA University Video Tutorials

These and further videos are available in the MIKAIA® YouTube playlist.

Workflow of 3 Apps: detect tumor in colon section. then classify cells in tumor area. Then compute cell-cell connections and highlight tumor-infiltrating lymphocytes (TILs).
Example workflow of 3 Apps: Train AI to detect mucosa. Then run Crypt AI only in mucosa mask. Then detect cells and group by intra-crypt vs. inter-crypt. View app note.
IHC analysis of murine lung tissue (FoxP3): DAB+ cells are detected and then grouped by inside metastasis vs outside metasis vs in invasive margin. View app note.
Testimonial from Prof. Dr. Hartmann, Director Institute of Pathology, Universitätsklinikum Erlangen

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Volker Bruns

Volker is a digital pathology and spatial biology enthusiast with a computer science background. Volker and his team develop commercial image analysis software for digital pathology and offer contract development, as well as image analysis as a service in the life sciences.

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Get in touch with us

Questions, remarks, feature
requests, project inquiries, …
email us: mikaia@iis.fraunhofer.de

Dr. Volker Bruns
Group Manager
Medical Image Analysis (MIA)
Digital Health and Analytics | Fraunhofer IIS

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