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

News

Live Event Recording

Computational
Pathology Research in
GI Histopathology

PreciPOINT, Fraunhofer IIS

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

 

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

More Information

Brochure

Engineering. Imaging. Sensors. Analysis.

Current and finished Products and Projects

Development partner for personalized medical engineering

Research and development services from a single source