Cell Proximity & Neighbourhood Analysis

Uses cell coordinates and marker-defined identities to quantify proximity, neighbourhood composition, clustering, and infiltration in images.

Cell Proximity & Neighbourhood Analysis illustration
Input channels
  • Ch1: DAPI, Hoechst, or hematoxylin
  • Ch2-4: markers used to classify cell populations
  • Optional annotated tissue boundary or region mask
Output metrics
  • Nearest-neighbour distance by cell-type pair
  • Number and composition of cells within a defined radius
  • Homotypic and heterotypic clustering metrics
  • Distance to tissue, tumour, or compartment boundary
  • 2D infiltration depth and density by region

Everything you need for cell proximity & neighbourhood analysis

Automated, reproducible, and code-free analysis in the cloud

Cloud-based

No software to install, no GPU required. Run analysis from any browser on any device.

Fully automated

Upload your images and get publication-ready results. No coding or scripting needed.

Reproducible

Every analysis is logged and reproducible. Share protocols with collaborators instantly.

How it runs

Cytely automates the image analysis so you can focus on the science.

01

Segment and classify cells

02

Retain centroid coordinates

03

Optionally define tissue regions or boundaries

04

Calculate pairwise distances and radius-based neighbourhoods

05

Summarize by population and condition.

Compatibility

Ready to run

Tumour–immune proximity, immune-cell clustering, mixed-culture neighbourhoods, core-versus-margin analysis, basic niche composition, marker-positive cell proximity in conventional multiplex images.

Inquire for support

Full CODEX/PhenoCycler/IMC high-plex workflows, cyclic image registration, advanced graph-community inference, or 3D neighbourhood analysis. This proposal assumes coordinate-derived measurements can be exposed reliably in the product, volumetric 3D neighbourhood analysis.

1 Dependent on sample quality

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Chief Scientific OfficerEuropean Contract Research Organization

The data-driven approach that Cytely offers is a dream to an experienced microscopist like me.

Professor in Muscle BiologyLeading European Research University

This completely removes bias. The price is negligible when you consider the time spent on image analysis.

Hematology ResearcherHematology Researcher

It's just amazing what can be done today! Cytely does all the work for me!

Infection Medicine ResearcherDoctoral Student, Lund University

Cytely makes me 10 times faster. It saves hours on every experiment.

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Alex EvilevitchProfessor, Lund University

The insight we gained from Cytely was a completely transformative experience. It allowed us to redesign our experiment and finally move the project forward.

SwathiCancer Mechanobiology Researcher

Cytely dramatically improved our timelines while enhancing data reliability through automated, unbiased analysis and significantly larger sample sizes.

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Blazej CegielskiVirus Biophysics Lab

With Cytely, we instantly analyzed thousands of cells to precisely identify which were transfected, infected, or both. What had been a three-year roadblock was resolved in our first session.

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