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Moving beyond the desktop: prospects for practical bioimage analysis via the web
KTH, School of Engineering Sciences (SCI), Applied Physics, Biophysics. KTH, Centres, Science for Life Laboratory, SciLifeLab.ORCID iD: 0000-0002-0291-926x
Morgridge Institute for Research and Center for Quantitative Cell Imaging, University of Wisconsin-Madison, Madison, WI, United States.
Imaging Platform, Broad Institute of MIT and Harvard, Cambridge, MA, United States.
2023 (English)In: Frontiers in Bioinformatics, E-ISSN 2673-7647, Vol. 3, article id 1233748Article in journal (Refereed) Published
Abstract [en]

As biological imaging continues to rapidly advance, it results in increasingly complex image data, necessitating a reevaluation of conventional bioimage analysis methods and their accessibility. This perspective underscores our belief that a transition from desktop-based tools to web-based bioimage analysis could unlock immense opportunities for improved accessibility, enhanced collaboration, and streamlined workflows. We outline the potential benefits, such as reduced local computational demands and solutions to common challenges, including software installation issues and limited reproducibility. Furthermore, we explore the present state of web-based tools, hurdles in implementation, and the significance of collective involvement from the scientific community in driving this transition. In acknowledging the potential roadblocks and complexity of data management, we suggest a combined approach of selective prototyping and large-scale workflow application for optimal usage. Embracing web-based bioimage analysis could pave the way for the life sciences community to accelerate biological research, offering a robust platform for a more collaborative, efficient, and democratized science.

Place, publisher, year, edition, pages
Frontiers Media SA , 2023. Vol. 3, article id 1233748
Keywords [en]
bioimage analysis, browser computing, cloud computing, collaboration in science, data accessibility and reusability, data management, web-based tools
National Category
Bioinformatics (Computational Biology) Other Computer and Information Science
Identifiers
URN: urn:nbn:se:kth:diva-339031DOI: 10.3389/fbinf.2023.1233748ISI: 001146249700001Scopus ID: 2-s2.0-85174822524OAI: oai:DiVA.org:kth-339031DiVA, id: diva2:1815316
Note

QC 20231128

Available from: 2023-11-28 Created: 2023-11-28 Last updated: 2024-02-26Bibliographically approved

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Ouyang, Wei

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CiteExportLink to record
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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
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Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
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Output format
  • html
  • text
  • asciidoc
  • rtf