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University of Exeter

Established: 1955

https://www.exeter.ac.uk

Location: Exeter, United Kingdom

GeoNames Map

Alternate Identifiers

ROR ID: https://ror.org/03yghzc09

CrossRef Funder ID: 501100000737

ISNI: 0000 0004 1936 8024

WikiData: Q1414861

1 Core Facilities:

1 Service Outside the Institution

1 Consult Outside the Institution

Flow Cytometry

10X Genomics Single Cell

AI

Algae

Artificial Intelligence

Assay Development

Bioinformatics

Bioinformatics Project Planning

CRO

Cancer Cell Profiling

Cell Signalling

Cell Sorting

Cellular Metabolism Assays

Contract Research

Cytomics

Data Analysis

Data Science

Environmental

FACS Cell Sorting

Flow Cytometry Training

Functional Cytometry

High Dimensional Flow Cytometry Analysis

Imaging

Imaging Flow Cytometry

Industrial Compliance Research

Life Sciences Technologies

MACSima Spatial Biology

Machine Learning

Marine Biology

Microbiology

Microbiome

Microplastics

Multiplex Immunofluorescence

Multiplexing

Phenotyping

Phospho-Flow

Plankton

Plant Biology

Quantitative Imaging

Single Particle Analysis

Single Particle Flow Virometry

Spatial Profiling

Spatial Proteomics

Spatial Transcriptomics

Spectral Flow Cytometry

Stem Cells

Tissue Cytometry

Transcriptomics

Virometry

UOE-Centre for CytomicsRRID:SCR_027343

Services:

10X Genomics Single Cell

AI

Algae

Artificial Intelligence

Assay Development

Bioinformatics

Bioinformatics Project Planning

Cancer Cell Profiling

Cell Signalling

Cell Sorting

Cellular Metabolism Assays

Contract Research

CRO

Cytomics

Data Analysis

Data Science

Environmental

FACS Cell Sorting

Flow Cytometry Training

Functional Cytometry

High Dimensional Flow Cytometry Analysis

Imaging

Imaging Flow Cytometry

Industrial Compliance Research

Life Sciences Technologies

Machine Learning

MACSima Spatial Biology

Marine Biology

Microbiology

Microbiome

Microplastics

Multiplex Immunofluorescence

Multiplexing

Phenotyping

Phospho-Flow

Plankton

Plant Biology

Quantitative Imaging

Single Particle Analysis

Single Particle Flow Virometry

Spatial Profiling

Spatial Proteomics

Spatial Transcriptomics

Spectral Flow Cytometry

Stem Cells

Tissue Cytometry

Transcriptomics

Virometry

Resources:

Flow Cytometry

Contact Info:

Exeter Centre for Cytomics,Raif Yuecel

Stocker Road

Henry Welcome Biocatalysis Building

Exeter, EX4 4QD - United Kingdom

https://www.exeter.ac.uk/cytomics

Google Maps Location

RRID:

RRID:SCR_027343

Description:

The Exeter Centre for Cytomics (EXCC) is an ISO 9001-certified, LEAF Gold-accredited, and ISAC SRL-recognised Centre of Excellence, placing it among the world’s leading facilities for cytometry and single-cell analysis. We combine internationally recognised scientific expertise with state-of-the-art technology to deliver integrated solutions for both academic and industrial partners.

Our capabilities span high-dimensional spectral cytometry, conventional flow cytometry, nano cytometry, imaging cytometry, spatial biology, and multi-omics (proteomics and transcriptomics). We operate Cytek Aurora spectral cytometers with up to 64-colour capability, the CytoFLEX LX for robust multiparameter conventional cytometry, and the CytoFLEX nano for ultra-sensitive detection of viruses, extracellular vesicles, and submicron particles. For aquatic and environmental applications, our FlowCam 8400 imaging system enables real-time visualisation and analysis of plankton, microbial communities, and other aquatic particulates.

In high-content cellular imaging, our Amnis ImageStreamX MKII merges the quantitative power of flow cytometry with the detailed imagery of microscopy, enabling advanced morphological and functional studies at the single-cell level. This is complemented by the MACSima Imaging Cytomics System, capable of spatial molecular mapping with more than 400 biomarkers, and by single-cell multi-omics platforms such as the 10x Genomics Chromium X and Luminex FlexMAP 3D.

EXCC supports a wide range of applications, from immunotherapy development, precision oncology, and regenerative medicine to environmental monitoring, plant sciences, and nanoparticle characterisation. All services are underpinned by advanced AI-driven analytics, leveraging R, Python, TensorFlow, and PyTorch on high-performance computing platforms to integrate and interpret complex datasets.

Through tailored assay development, comprehensive panel design, advanced computational solutions, and strong collaborations with biotechnology, pharmaceutical, clinical research, agricultural, and plant science partners, Centre for Cytomics empowers researchers to move seamlessly from discovery to application. Its collaborative approach, robust educational programmes, and state-of-the-art technology position it as a key partner for developing new diagnostics, therapeutics, and solutions in environmental and agricultural sciences.

This facility provides services outside its institution

This facility provides consulting outside its institution

Last updated:

08/14/2025