Restoration & Enhancement
- Denoising
- Deconvolution and deblurring
- Contrast enhancement
- Illumination correction
- Super-resolution reconstruction
Core technologies & capabilities
Image processing expertise
From classical image processing to modern AI-based methods — combined with rigorous validation and reproducible workflows. Below is an overview of the techniques and data types we work with.
Methods
A comprehensive toolbox for quantitative imaging
Each project combines a selection of these techniques, chosen to match the data, the biological question, and the required quantitative endpoints.
AI & Automated Analysis
- Semantic and instance segmentation
- Object detection
- Classification
- Anomaly detection
- Tracking and registration
Quantification & Spatial Analysis
- Morphometry
- Density estimation
- Colocalization analysis
- Texture analysis
- Topological network analysis
- Region-based measurements
Data Types
- Histology slides
- Whole-organ imaging
- Live-cell imaging
- Time-lapse microscopy
- Confocal microscopy
- Light-sheet microscopy
- Multiphoton imaging
- Medical imaging
How we work with these tools
Method selection driven by biology, not by trends
AI is powerful, but not always the right answer. We routinely combine classical image processing, deep-learning models, and biostatistics — selecting the simplest method that meets the required accuracy, robustness, and interpretability.
Custom AI models
When generic models do not generalize to your data, we train and validate models specifically for your samples, modality and biological question.
Hybrid pipelines
We combine deep learning with classical image processing and statistics for explainable, robust, and reproducible analyses.
Validation first
Every pipeline is validated against ground truth, controls, and biological expectations — with documented limitations.
Wondering which methods fit your data?
Send us a representative dataset or simply describe the imaging modality and the biological endpoint — we will recommend a suitable methodological strategy.