Each project is adapted to the sample type, imaging modality, biological question, and expected quantitative endpoints. We work across four core domains — and beyond them on request.
Each domain page summarizes the quantitative analyses we deliver most often. The underlying methodology — image restoration, AI-assisted segmentation, quantification, validation — is shared, but every pipeline is built specifically for your data and your scientific objectives.
Advanced quantitative analysis for neuroscience research, whole-brain image processing, vascular mapping, and functional activation studies.
Quantitative imaging and tissue characterization for cosmetic research, formulation assessment, and compound efficacy.
Quantitative analysis of cancer models, spheroids, organoids, multicellular systems and organs for translational and preclinical research.
Quantitative vascular and cardiac image analysis for cardiovascular research, tissue remodeling, and microvascular characterization.
We routinely build custom pipelines outside these four domains — immunology, developmental biology, plant imaging, microbiology, or new modalities. If you have biological images and a quantitative question, we likely have a methodological path.
Whether you need automated quantification, AI-assisted segmentation, or custom biological image analysis, we can design a workflow adapted to your project.
