Software based Image Analysis and Enhancement

Our focus are the domains of

  • Microscopy, in particular Digital Pathology and Fluorescence Microscopy
  • and Endoscopy, especially panorama creation and detection of objects and pathologies (e.g. polyps)

We have know-how in image processing and analysis

  • using “classical” algorithms that are often fast and only require limited sample data
  • and using Deep Learning which frequently yields superior results, but demands a lot of training data

We develop Systems and Software

  • for Windows, Linux, Mac or iPhone
  • as standalone applications or integrable libraries

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Digital Pathology – an AI project by Fraunhofer IIS and Erlangen University Hospital (Interview: Volker Bruns Fraunhofer IIS, Prof. Dr. med. Arndt Hartmann Universitätsklinikum Erlangen, Dr. med. Carol-Immanuel Geppert Universitätsklinikum Erlangen)


Digital Microscopy

Image analysis for life sciences, pharmacology and digital pathology


Digital Endoscopy

Semantic video analysis for endoscopy and surgery


Your Development Partner for Medical Image Analysis


Talk to us – together we will find a solution for your medical image processing challenge:  -> Please send an email if you are interested


Live Event Recording

Pathology Research in
GI Histopathology

PreciPOINT, Fraunhofer IIS


Volker Bruns with ChatGPT on Digital Pathology

Recording of the BVM workshop 2021

Robust Slide
Cartography in Colon Cancer Histology

Evaluation on a Multi-scanner Database

ParasiteWeb - Demo platform

The online tool for training and quality control of parasite microscopy


Press Release

The web platform that makes parasite ­microscopy easier – ParasiteWeb® goes live


Pharma Services

Research and development in quantitative bio image analysis, specifically in microscopy and endoscopy.



ParasiteWeb® - Virtual proficiency tests for parasitology

ParasiteWeb® is a web platform for performing virtual EQA (External Quality Assessment) and IQC (Internal Quality Control) for the microscopic detection of parasites in clinical samples.


Smart Endoscopy

Our Project "Deep Colonoscopy"

Image-based detection, classification and documentation of polyps using artificial intelligence


Press release

PathoScan project: Automated digitalization in routine pathology

Exhibitions and Events

More Information

Medical Image Analysis – Publications

Here you will find our publications arranged by year.

Current and finished Products and Projects

Development partner for personalized medical engineering

Research and development services from a single source