Imaging Intelligence for Real-World Research
Fraunhofer Institute’s MIKAIA® is a unique and attractive software platform that supports quantitative analysis of whole-slide images across a wide range of modalities. It enables researchers to batch process entire study cohorts consistently and quickly, export results directly to standard formats such as Excel, and adapt workflows to suit specific experimental needs.
Solutions are built from validated applications for tasks such as tissue detection, cell detection, tissue classification, and spatial analysis, all of which can be combined into more complex pipelines without programming.
Key Features
- Whole-slide and batch analysis with direct export to Excel
- AI options for both built-in tools and user-trained models
- Support for H&E, IHC, multiplex IF, spatial proteomics, and MSI
- 20 ready-to-use applications, expandable into custom workflows
- Quantitative outputs designed for reproducibility and publication
MIKAIA contains cutting edge AI analysis accessible through the unique AI Author App. Using the AI Author, researchers can quickly trim an extensive model built upon millions of training images to create usable AI segmentation, The flexibility of MIKAIA enables users to integrate external scripts through an the MIKAIA API.
MIKAIA supports common imaging approaches with one environment, including H&E, IHC, multiplex immunofluorescence, spatial proteomics, and mass spectrometry imaging, helping to standardize analysis across techniques. By replacing subjective assessments with reproducible measurements, MIKAIA provides objective outputs suitable for downstream statistical analysis and publication.
MIKAIA is a dynamic and creative tool that puts the best computer science to work for the bio-imaging community. Check it out, and request a demo.