Dr Joost de Folter

Dr Joost de Folter

Data scientist · Research Software Engineer

Dr Joost de Folter is a multidisciplinary data scientist and Research Software Engineer specialising in microscopy data science, machine learning, image analysis, modelling and visualisation. He has extensive experience developing automated and reproducible solutions across biomedical research, healthcare and AI. At the Francis Crick Institute and through international bioimaging collaborations, he works on data, ML and AI projects, large-scale microscopy analysis, deep learning and open science, with a particular interest in FAIR data, open standards and translating complex scientific challenges into practical computational solutions.

Bioimaging data & FAIR

NL-BioImaging

biomero

BIOMERO.analyzer - A python library for easy connecting between OMERO (jobs) and a Slurm cluster

Python★ 29Docs
NL-BioImaging

NL-BIOMERO

NL‑BIOMERO delivers a full containerized stack to run OMERO together with the BIOMERO 2.0 framework. It provides Docker/Podman configurations and Compose files to deploy OMERO + BIOMERO subsystems (importer, analyzer, OMERO.web plugin, databases, and auxiliary services) — the recommended starting point for a FAIR‑oriented bioimaging setup.

Shell★ 13Docs
FrancisCrickInstitute

OmeSliCC

Ome(ro) SLide Image Conversion and Compression pipline (OmeSliCC)

Python★ 7
NL-BioImaging

napari-meta-tiff

napari tiff reader with extended metadata

Python★ 0

Microscopy & image analysis

SBEMimage

SBEMimage

Versatile acquisition software for serial block-face electron microscopy

Python★ 27Docs
FrancisCrickInstitute

napari-isbem

Multimodal SBEM acquistion targeting

Python★ 0Docs
ccp-volume-em

muvis-align

Image registration using multiview-stitcher

Python★ 9Docs
folterj

BioImageOperation

Image processing tool focusing on biological applications

C++★ 14

Contributions to open standards

ome

ngff

Next-generation file format (NGFF) specifications for storing bioimaging data in the cloud.

Python★ 177Docs
fideus-labs

ngff-zarr

A lean and kind Open Microscopy Environment (OME) Next Generation File Format (NGFF) Zarr implementation.

Python★ 74Docs

Earlier work

folterj

ProMISE2

Probabilistic Model for Immiscible Separations and Extractions 2

C#★ 0

Publications

  1. 2026
    Preprint
  2. 2023
    HardwareX
  3. 2023
    Nature Biomedical Engineering
  4. 2021
    Traffic
  5. 2021
  6. 2020
    Preprint
  7. 2018
    International Journal of Technology Assessment in Health Care
  8. 2017
    IEEE Transactions on Biomedical Engineering
  9. 2014
    BMC Medical Informatics and Decision Making
  10. 2013
    IEEE EMBS Special Topic Conference on Point-of-Care (POC) Healthcare Technologies: Synergy Towards Better Global Healthcare, PHT 2013
  11. 2012
    Journal of Visual Languages and Computing
  12. 2011
    Journal of Chromatography A
  13. 2011
    Journal of Chromatography A
  14. 2009
    Journal of Chromatography A
  15. 2003
    Journal of Liquid Chromatography and Related Technologies

Organisations