We provide support for a broad range of services to academic partners, including DNA/RNA isolation, sample preparation, Next Generation Sequencing, SNP fingerprinting and Spatial Omics. A comprehensive state-of-the-art infrastructure is available, including NGS sequencers, liquid handling robotics, Bruker GeoMx/CosmX and ICT.You are welcome to take a look at our standard services or contact us for any customizations.

The Utrecht Sequencing Facility is sponsored by the University Medical Center Utrecht and the NWO infrasctructure grant X-omics.

Visit www.useq.nl for our full and up-to-date portfolio and pricing.

Within UMC Utrecht, five AI Labs bring together biomedical researchers, healthcare providers, business developers, and other stakeholders to collaborate with external partners including industry partners on the development, validation, evaluation, implementation and upscaling of AI systems and algorithms.

These five AI-Health labs are:

  • AI Lab for Healthy Living & Prevention
  • AI Lab for Imaging & Image-Guided Interventions
  • AI Lab for Living Technologies
  • AI Methods Lab
  • AI Lab for Molecular Medicine

The five Health AI Labs within UMC Utrecht have been carefully established through extensive consultation with all relevant stakeholders and the Executive Board. They all align directly with UMC Utrecht’s strategic accelerators, the thematic communities of the Utrecht Life Sciences (ULS), the UU AI Labs beyond the health domain and the focus areas of the EWUU.

For each Health AI Lab, dedicated directors and coordinators have been appointed. They are responsible for the lab’s structure, strategic focus, and coordination of all AI-related activities. These roles are filled by experts with deep expertise in both AI and the specific thematic domain of each lab.

We offer support to the research community by providing expertise and innovative services at the intersection of artificial intelligence, data, and biomedical data science. Our multidisciplinary teams combine domain knowledge with advanced AI methodologies to accelerate discovery, improve decision-making, and translate research into real-world impact.

Our expertise spans a broad range of AI-related domains, including data and data management, ethics, responsible AI, genetics, radiology, radiotherapy, pathology, clinical research, organoid research, epidemiology, and statistics. We have extensive experience with machine learning (ML), large language models (LLMs), and regulatory frameworks such as the Medical Device Regulation (MDR) and the European AI-Act, ensuring that innovation is aligned with healthcare practice and compliance requirements.

Beyond domain expertise, we offer strong methodological support. We help researchers design, develop, validate and implement robust AI approaches—both within the biomedical sciences and in emerging areas of generative and agentic AI. This includes tackling complex logistics, optimization, and planning challenges, where AI-driven solutions can significantly enhance efficiency and scalability.

Connection with University Utrecht (UU) AI Labs

The structure of the five Health AI Labs mirrors that of the other AI Labs at Utrecht University (UU), addressing other domains than healthcare. In contrast to the UU AI Labs, the Health AI Labs do not primarily address societal questions driven by external parties. Instead, they are explicitly aligned with UMC Utrecht’s core missions of patient care, scientific research, and academic education.

The UMC Utrecht AI Labs collaborate actively and successfully with these other AI Labs at Utrecht University, which have a long-standing and strong position in the AI domain beyond the health sector. By jointly addressing overlapping AI themes, these collaborations enhance both scientific and societal impact while leveraging complementary expertise and experience.

Together, this collaboration results in an integrated Utrecht approach to AI in healthcare and fosters the exchange of knowledge, expertise, funding opportunities, and educational activities between the UMC Utrecht AI Labs and the UU AI Labs.

Media highlights (in Dutch):

Imaging is becoming increasingly important in the biomedical sciences and in research at the Hubrecht Institute. To meet the growing demand for advanced imaging equipment, the Hubrecht Imaging Center (HIC) was established in 2009. In recent years, the Hubrecht Institute has acquired a range of state of the art microscopes, which are now managed by the HIC.

The HIC supports a wide spectrum of imaging needs, from simple phase contrast imaging to high resolution imaging of living tissue. Advanced systems ar available at the HIC include confocal, two photon, TIRF, FRAP, STED and FRET microscopy, including FLIM. We have also spinning disk systems and light sheet microscopes.

The HIC ensures that the Hubrecht Institute’s advanced imaging equipment functions optimally and is used to its full potential. This is achieved through regular system testing and optimization, training new researchers, and providing support for imaging experiments.

The Pathology Research Core (PRC) facility offers a broad range of tissue collection, processing and analysis techniques to facilitate biomedical and clinical researchers. We collect preclinical and clinical samples and process them for analyses and storage.

Samples are collected as fresh frozen specimen, processed for formalin-fixing and paraffin embedding (FFPE), or prepared for electron microscopy (EM).

We have a vast range of antibody-based protein expression detection techniques (chromogenic and fluorescent) and chemical procedures for histopathological assessment.

Our facility can also culture and process/analyze patient derived tumor organoid PDO models in specified extracellular matrix (ECM) gels upon request.

We provide high-quality histopathological services to support research into human and non-human (mouse, rat, fish) healthy and diseased tissues

The Collection and databases facility of WI-KNAW maintains two important collections of microbes: the world-renowned CBS Collection for filamentous fungi and yeasts, founded in 1904 and one of the oldest and largest culture collections for fungi in the world; and the NCCB collection, a historically important collection of wild-type and mutant bacterial strains and phages.

Its holdings cover a broad range of the culturable fungal diversity, with strains originating from various habitats on all continents and in the seas, and over 16 000 type strains that serve as important references for taxonomy. Yearly, 4 000 – 6 000 strains are supplied to requestors in around 50 countries for research and development, and 2 000 – 3 000 new strains are deposited from various origin and substrates. All strains are DNA sequenced for quality control and identification purposes, the fungi mostly by ITS and LSU rDNA, and bacteria by (partial) 16S. New data including on physiology, mass spectrometry (MALDI-TOF) and other data are continuously generated and linked to the strains. For many strains whole genome sequences are also available.

  • 100 000 strains of filamentous fungi and yeasts in CBS
  • 10 000 strains of bacteria and actinobacteria, and 560 phages in NCCB
  • Strains are preserved in a metabolically inactive state, by lyophilization (freeze-drying) and cryopreservation. A smaller part is also actively kept on agar media.
  • Online databases providing open (meta)data to search strains and to perform analyses
  • Supply of cultures in active state on agar media, as freeze-dried ampoules or genomic DNA extracts
  • Deposit of novel living strains in the public collections (free-of-charge, acceptance pending quality and compliance checks)
  • International Depository under the Budapest Treaty (patent strains, fee charged)
  • Safe deposit service (fee charged periodically)
  • Quality assurance according to ISO 9001

TCBio reviews procedures that collect and/or use human biological materials for medical scientific research to ensure high quality biomedical research and responsible collection, storage, management and distribution of human tissue, cells and related data. The committee is composed of experts in clinical practice, biomedical research, genetics, methodology, ethics, law and participant experience ensuring compliance with Dutch and European regulations.

Medical Research Ethics Committee (MREC)

Research that falls under the WMO, MDR, IVDR or CTR must be reviewed by an accredited Medical Research Ethics Committee (MREC; Dutch: METC) or the CCMO. If human biological material is stored as part of such a study for a future research question that has not yet been defined, the subsequent research using this material requires additional review by TCBio.

For a more information see: https://tcbio.umcutrecht.nl/en/

Medical Research Ethics Committee (MREC/METC) NedMec

MREC NedMec, also known in Dutch as a Medisch-Ethische Toetsingscommissie (METC), is accredited by the Central Committee on Research Involving Human Subjects (CCMO) to review medical scientific research with human subjects.

MREC/METC NedMec reviews research that is subject to the Dutch Medical Research Involving Human Subjects Act (WMO), the EU Clinical Trial Regulation (CTR), the EU Medical Device Regulation (MDR), and the EU In Vitro Diagnostics Regulation (IVDR).

Through its national scope, MREC/METC NedMec reviews research proposals for researchers, health care organisations, government institutions and other organisations in the health care sector.

The BDC provides support and services in the following areas:

Genomics data analyses: development and maintenance of bioinformatics pipelines for bulk sequencing (WGS, WES, RNA-seq) in tumor and organoid samples, processing of nanopore sequencing samples, and development of custom data analyses for research.

Cloud engineering: development and deployment of end-to-end cloud solutions for bulk sequencing data—integrating a cloud-native data warehouse, portals (e.g. NL-4C), and secure APIs with a centralized governance to accelerate the delivery of genomic insights to researchers, clinicians and benefit patient care.

Dutch Comprehensive Childhood Cancer Commons: or NL-4C is a cloud-based portal developed by the BDC that enables data visualization, exploration and building of virtual datasets of harmonized genomic and clinical data of the children with cancer treated at the Princess Máxima Center.

Data stewardship: coordinating and promoting appropriate data management and stewardship practices for preclinical data, including implementation of the FAIR (Findability, Accessibility, Interoperability and Reusability) data principles, to ensure optimal data (re)use.

Located in the Utrecht Science Park, iLab provides easy access to University of Applied Science Utrecht (UASU, Hogeschool Utrecht (HU) , Lectoraat Innovative Testing in Life Sciences & Chemistry, Institute for Life Sciences & Chemistry (ILC).

At iLab, ideas do not stay on paper – they get built, tested, and proven.

Startups, SMEs, corporates, and public organizations are invited to use iLab as their innovation playground: a place to prototype, experiment, and validate new concepts quickly and safely. With an ISO-certified lab infrastructure and a wide range of advanced equipment, iLab helps reduce development risks and accelerates time to insight.
What truly sets iLab apart is its unique position at the intersection of education, research, and industry. iLab connects external partners directly with the applied expertise of UASU-HU, enabling real-world experimentation, hands-on learning, and meaningful knowledge exchange. Whether you are exploring an early-stage technology, testing a bold new idea, or refining a concept for market readiness, iLab offers the environment to move forward with confidence.
By working at iLab, you gain access not only to state-of-the-art facilities, but also to multidisciplinary teams of researchers and motivated students who bring fresh perspectives and practical skills. Together, we turn challenges into opportunities and innovation into real societal impact.

If you’re ready to experiment, collaborate, and build what’s next – iLab is open to you.

We are the transcriptomics experts

We have worked with single-cell since the early days, across multiple technology generations. Across 50+ organisms and 30+ tissue types, we’ve seen how workflows behave in real biological edge cases. That experience helps us anticipate risks early and deliver decision-ready data.
We continuously evaluate new platforms through internal R&D and real-world validation. We adopt technologies only when they clearly improve data quality, robustness, or interpretability. When commercial options fall short, we build and validate proprietary assays and workflows.
We act as a thought partner, not just a service provider. We help shape experimental design, make trade-offs explicit, and align work with downstream objectives. This approach supports complex, multi-phase programs where confidence and consistency matter.

Our services include:

  • Single Cell workflows:
    • SORT-seq
    • VASA-seq
    • 10x Genomics: all solutions
    • Parse Biosciences solutions
  • Bulk RNA-seq:
    • mRNA bulk RNA-seq
    • Total bulk RNA-seq
    • Discovery-seq: high throughput bulk RNA-seq
  • Multiomics:
    • 10x Genomics Multiome
    • BioSkryb Genomics’ ResolveServices™
    • High-throughput FFPE Proteomics
    • Olink proteomics

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