Jean‐Marie Burel

ORCID: 0000-0002-1789-1861
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About
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Research Areas
  • Cell Image Analysis Techniques
  • Genetics, Bioinformatics, and Biomedical Research
  • Research Data Management Practices
  • Scientific Computing and Data Management
  • Biomedical Text Mining and Ontologies
  • Single-cell and spatial transcriptomics
  • Geometric Analysis and Curvature Flows
  • Geometric and Algebraic Topology
  • AI in cancer detection
  • Mathematical Dynamics and Fractals
  • Advanced Fluorescence Microscopy Techniques
  • Algebraic Geometry and Number Theory
  • Usability and User Interface Design
  • Digital Imaging for Blood Diseases
  • Image Processing Techniques and Applications
  • Underwater Vehicles and Communication Systems
  • Ethics and Legal Issues in Pediatric Healthcare
  • Elasticity and Material Modeling
  • Medical Image Segmentation Techniques
  • Mathematical Analysis and Transform Methods
  • Contact Mechanics and Variational Inequalities
  • Geometry and complex manifolds
  • Gene expression and cancer classification
  • Spacecraft Design and Technology
  • Holomorphic and Operator Theory

University of Dundee
2007-2023

Institute of Molecular and Cell Biology
2023

Université de Bretagne Occidentale
2001-2015

Wellcome Trust
2007-2012

Lund University
2004

Institute of Mathematical Sciences
2003

Laboratoire de Mathématiques d'Orsay
2001

Institut de Recherche de l’École Navale
1999

Data sharing is important in the biological sciences to prevent duplication of effort, promote scientific integrity, and facilitate disseminate discovery. Sharing requires centralized repositories, submission utility these resources require common data formats. This particularly challenging for multidimensional microscopy image data, which are acquired from a variety platforms with myriad proprietary file formats (PFFs). In this paper, we describe an open standard format that have developed...

10.1083/jcb.201004104 article EN cc-by-nc-sa The Journal of Cell Biology 2010-05-31

Abstract The rapid pace of innovation in biological imaging and the diversity its applications have prevented establishment a community-agreed standardized data format. We propose that complementing established open formats such as OME-TIFF HDF5 with next-generation file format Zarr will satisfy majority use cases bioimaging. Critically, common metadata used all these vessels can deliver truly findable, accessible, interoperable reusable bioimaging data.

10.1038/s41592-021-01326-w article EN cc-by Nature Methods 2021-11-29

A growing community is constructing a next-generation file format (NGFF) for bioimaging to overcome problems of scalability and heterogeneity. Organized by the Open Microscopy Environment (OME), individuals institutes across diverse modalities facing these have designed specification process (OME-NGFF) address needs. This paper brings together wide range those members describe cloud-optimized itself-OME-Zarr-along with tools data resources available today increase FAIR access remove barriers...

10.1007/s00418-023-02209-1 article EN cc-by Histochemistry and Cell Biology 2023-07-10

The Open Microscopy Environment (OME) defines a data model and software implementation to serve as an informatics framework for imaging in biological microscopy experiments, including representation of acquisition parameters, annotations image analysis results. OME is designed support high-content cell-based screening well traditional applications. Data Model, expressed Extensible Markup Language (XML) realized database, both extensible self-describing, allowing it meet emerging needs.

10.1186/gb-2005-6-5-r47 article EN cc-by Genome biology 2005-05-03

The main goals and challenges for the life science communities in Open Science framework are to increase reuse sustainability of data resources, software tools, workflows, especially large-scale data-driven research computational analyses. Here, we present key findings, procedures, effective measures recommendations generating establishing sustainable resources based on collaborative, cross-disciplinary work done within EOSC-Life (European Cloud Life Sciences) consortium. Bringing together...

10.15252/embj.2023115008 article EN cc-by The EMBO Journal 2023-11-15

Imaging data are used in the life and biomedical sciences to measure molecular structural composition dynamics of cells, tissues, organisms. Datasets range size from megabytes terabytes usually contain a combination binary pixel metadata that describe acquisition process any derived results. The OMERO image management platform allows users securely share datasets according specific permissions levels: can be held privately, shared with set colleagues, or made available via public URL. Users...

10.1007/s00335-015-9587-6 article EN cc-by Mammalian Genome 2015-07-29

A growing community is constructing a next-generation file format (NGFF) for bioimaging to overcome problems of scalability and heterogeneity. Organized by the Open Microscopy Environment (OME), individuals institutes across diverse modalities facing these have designed specification process (OME-NGFF) address needs. This paper brings together wide range those members describe cloud-optimized itself -- OME-Zarr along with tools data resources available today increase FAIR access remove...

10.1101/2023.02.17.528834 preprint EN cc-by bioRxiv (Cold Spring Harbor Laboratory) 2023-02-21

The Open Microscopy Environment (OME) has built and released Bio-Formats, a Java-based proprietary file format conversion tool OMERO, an enterprise data management platform under open source licenses. In this report, we describe new versions of Bio-Formats OMERO that are specifically designed to support large, multi-gigabyte or terabyte scale datasets routinely collected across most domains biological biomedical research. Bio- Formats reads image directly from native formats, bypassing the...

10.1117/12.2086370 article EN Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE 2015-03-20

Summary Biological imaging is one of the most innovative fields in modern biological sciences. New modalities, probes, and analysis tools appear every few months often prove decisive for enabling new directions scientific discovery. One feature this dynamic field need to capture types data structures. While there a strong drive make Findable, Accessible, Interoperable Reproducible (FAIR 1 ), rapid rate innovation impedes unification adoption standardized formats. Despite this, opportunities...

10.1101/2021.03.31.437929 preprint EN cc-by bioRxiv (Cold Spring Harbor Laboratory) 2021-03-31

10.1016/s0764-4442(01)01842-0 article FR Comptes Rendus de l Académie des Sciences - Series I - Mathematics 2001-03-01

Digital imaging is now used throughout biological and biomedical research to measure the architecture, composition dynamics of cells, tissues organisms.The many different technologies create data in formats.This diversity formats

10.1101/088740 preprint EN cc-by bioRxiv (Cold Spring Harbor Laboratory) 2016-11-19

Let ${\cal F}$ be an oriented conformal foliation of connected, totally geodesic and 1-dimensional leaves in $\mathbb{R}^{n+1}$. We prove that if $n\geq 3$ then the Gauss map $\phi{:}\,\,U\,{\to}\,S^n$ is a non-constant $n$-harmonic morphism only it radial projection.

10.1017/s0305004103007060 article EN Mathematical Proceedings of the Cambridge Philosophical Society 2004-01-01

Academic scientific software development projects aim to provide valuable research tools aid the community in process of discovery. The need for those meet wider expectations usability and good user experience design is critical success; however nature academic e-science means they are often constrained by too narrow an understanding potential base, a focus on at expense broad research. We introduce concept Project Community as way addressing these limitations capacity support effective...

10.1109/esciw.2009.5407962 article EN 2009-12-01
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