Biomedical Imaging Group
Logo EPFL
    • Splines Tutorials
    • Splines Art Gallery
    • Wavelets Tutorials
    • Image denoising
    • ERC project: FUN-SP
    • Sparse Processes - Book Preview
    • ERC project: GlobalBioIm
    • The colored revolution of bioimaging
    • Deconvolution
    • SMLM
    • One-World Seminars: Representer theorems
    • A Unifying Representer Theorem
Follow us on Twitter.
Join our Github.
Masquer le formulaire de recherche
Menu
BIOMEDICAL IMAGING GROUP (BIG)
Laboratoire d'imagerie biomédicale (LIB)
  1. School of Engineering STI
  2. Institute IEM
  3.  LIB
  4.  Bioimaging Software
  • Laboratory
    • Laboratory
    • Laboratory
    • People
    • Jobs and Trainees
    • News
    • Events
    • Seminars
    • Resources (intranet)
    • Twitter
  • Research
    • Research
    • Researchs
    • Research Topics
    • Talks, Tutorials, and Reviews
  • Publications
    • Publications
    • Publications
    • Database of Publications
    • Talks, Tutorials, and Reviews
    • EPFL Infoscience
  • Code
    • Code
    • Code
    • Demos
    • Download Algorithms
    • Github
  • Teaching
    • Teaching
    • Teaching
    • Courses
    • Student projects
  • Splines
    • Teaching
    • Teaching
    • Splines Tutorials
    • Splines Art Gallery
    • Wavelets Tutorials
    • Image denoising
  • Sparsity
    • Teaching
    • Teaching
    • ERC project: FUN-SP
    • Sparse Processes - Book Preview
  • Imaging
    • Teaching
    • Teaching
    • ERC project: GlobalBioIm
    • The colored revolution of bioimaging
    • Deconvolution
    • SMLM
  • Machine Learning
    • Teaching
    • Teaching
    • One-World Seminars: Representer theorems
    • A Unifying Representer Theorem

Towards a Unified Portal for Bioimaging Software: The Open Bio Image Alliance

R. Delgado-Gonzalo, M. Unser

Proceedings of the All SystemsX.ch Day 2013 (ASXD'13), Bern BE, Swiss Confederation, May 13, 2013, pp. 68.


The aim of image analysis in bioimaging is to use cutting-edge techniques from the fields of Image Processing and Computer Vision to achieve insights into biological problems through analysis of image datasets. The domain of action of the tools provided by these fields is very large. It begins during the image acquisition process, and extends until the final statistical analysis used when extracting the spatio-temporal information of the biological system. In order to properly analyze the experiments and draw conclusions from analysis results, the scientist should be aware of how these tools work. Simply pressing a button in a piece of software and interpreting the results is not good scientific practice. Open-source software provides the necessary transparency, giving scientists the opportunity to understand the algorithms and the computational methods behind their tools.

@INPROCEEDINGS(http://bigwww.epfl.ch/publications/delgadogonzalo1301.html,
AUTHOR="Delgado-Gonzalo, R. and Unser, M.",
TITLE="Towards a Unified Portal for Bioimaging Software: {T}he Open Bio
	Image Alliance",
BOOKTITLE="Proceedings of the All SystemsX.ch Day 2013 ({ASXD'13})",
YEAR="2013",
editor="",
volume="",
series="",
pages="68",
address="Bern BE, Swiss Confederation",
month="May 13,",
organization="",
publisher="",
note="")
© 2013 SystemsX.ch. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from SystemsX.ch. This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
  • Laboratory
  • Research
  • Publications
    • Database of Publications
    • Talks, Tutorials, and Reviews
    • EPFL Infoscience
  • Code
  • Teaching
Logo EPFL, Ecole polytechnique fédérale de Lausanne
Emergencies: +41 21 693 3000 Services and resources Contact Map Webmaster email

Follow EPFL on social media

Follow us on Facebook. Follow us on Twitter. Follow us on Instagram. Follow us on Youtube. Follow us on LinkedIn.
Accessibility Disclaimer Privacy policy

© 2023 EPFL, all rights reserved