Jason Swedlow (Affiliate)
Tools and capabilities for sharing, accessing and integrating multi-dimensional bioimaging and biomolecular data
Research in a Nutshell
At the University of Dundee, I lead the Open Microscopy Environment Consortium, an open source specification and software project that builds tools for accessing and sharing complex, heterogenous multi-dimensional datasets. We use OME’s tools to build and run the Image Data Resource, one of the largest collections of public bioimaging data. My wet lab focuses on mechanism that control chromosome segregation at mitosis. I also lead the National Phenotypic Screening Centre, which provides advanced, high performance image-based phenotypic screening services to labs and companies across Europe.
In Wellcome Leap’s Tissue Program, we aim to build a “tissue time machine” that predicts how human tissues will change during disease to give researchers, clinicians and patients an accurate prediction of disease progression.
Links
Open Microscopy Environment Consortium (external website)
Wellcome Leap’s Tissue Program (external website)
Contact
Collaborations
- Alvis Brazma, Ugis Sarkans, and Matthew Hartley, EMBL-EBI
- Angus Lamond and Melpi Platani, Univ Dundee, University of Dundee
- Jian Ma, Carnegie-Mellon University
- European Lead Factory—several EU CROs, biotechs and pharma
Publications
Image Data Resource: A Bioimage Data Integration and Publication Platform June 2017 in Nature Methods DOI: 10.1038/nmeth.4326 |
Numerically enhanced adaptive optics-based 3D STED microscopy for deep-tissue super-resolved imaging December 2019 in ACS Nano |
A Global View of Standards for Open Image Data Formats and Repositories May 2021 in Nature Methods |
OME-NGFF: a next-generation file format for expanding bioimaging data strategies November 2021 in Nature Methods |
View all publications on Google Scholar
Scientific Themes
Imaging and Image informatics, cell division, public data resources
Technology Expertise
Imaging, open source software development, cell division, high content screening