Pharma Services – We turn your images into actionable data

Our experienced team of bioinformaticians with extensive domain knowledge in digital pathology and spatial biology offers digital image analysis services for CROs, pharmaceutical and biotech companies, biobanks, and academia.

We are your image analysis service provider with a strong expertise in research and development.

We leverage our own digital pathology software MIKAIA®, HALO® from Indica Labs, various scanners and annotation stations, as well as our in-house expertise in custom algorithm and AI development.

Our focus lies in biomarker discovery and preclinical R&D.

Highlights

Benefit from our comprehensive expertise in image analysis in the fields of histology, hematology, and microbiology.

  • Quantitative analysis of whole-slide-images (WSIs) using HALO®, MIKAIA®, or custom AIs and algorithms
  • Immunofluorescence (mIF), immunohistochemistry (IHC), standard morphology (H&E), mass spectrometry imaging (MSI), or spatial transcriptomics
  • Multimodal analyses with slide alignment
  • Wide range of supported image formats: DICOM, SVS, CZI, VSI, NDPI, MRXS, OME-TIFF, BIF, and many more
  • Whole slide single cell analysis of Akoya, Lunaphore, MACSima, or other sequential IF scans
  • Gateway into vast network of Fraunhofer expertise, academic, and clinical partners

Our Offer for Digital Pathology & Spatial Biology

  • Image analysis as a service,
    custom AI development, or
    customization of MIKAIA® for subsequent in-house use
  • Digitization of glass slides (multiple resolutions, multiple formats, with or without oil immersion)
  • Creation of multi-scanner datasets for deep learning
  • Bootstrapped tissue or cells annotation
  • Wet lab & data acquisition services

Supported modalities

  • Immunohistochemistry (IHC)
  • Multiplexed immunofluorescence (mIF)
  • Standard morphology (H&E)
  • Mass spectrometry imaging (MSI)
  • Spatial transcriptomics
  • Multimodal analysis leveraging slide alignment

Example analyses

  • Cell grading & phenotyping in IHC, mIF, or H&E
  • Cell population comparison between ROIs
  • Tissue quantification
  • Markers co-localization analysis
  • Identification of cellular neighborhoods or cell-cell connections
  • Quantifying spatial heterogeneity
  • Measurements of crypts, glands, fibers, vessels, etc. 
  • Downstream statistical bioinformatics analysis & report generation
  • And more

Analysis of endoscopy images and videos

  • Quantitative analysis of endoscopy videos
  • “Video to Excel”: Exporting data to a CSV file and analysis using statistical software
  • Data Annotation tools and workflows, including a web-based annotation server
  • AI-assisted annotation: Annotation of input data, training of classifiers, predictive analysis of remaining data, error correction, re-training of classification models, repeated predictive data analysis and more
  • Testing and measurements using various phantoms

 

More solutions

 

AI-based Image Analysis with MIKAIA®

Digital pathology image analysis software for researchers

 

MIKAIA® University

Discover additional image analysis use cases in the online resource center MIKAIA® University – with tutorials, app notes & case studies.

 

Contract Research and Development

We offer a wide range of application and customer-specific solutions and services around image analysis