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CytoPacq: a web-interface for simulating multi-dimensional cell imaging
- Source :
- Bioinformatics
- Publication Year :
- 2019
- Publisher :
- Oxford University Press (OUP), 2019.
-
Abstract
- Motivation Objective assessment of bioimage analysis methods is an essential step towards understanding their robustness and parameter sensitivity, calling for the availability of heterogeneous bioimage datasets accompanied by their reference annotations. Because manual annotations are known to be arduous, highly subjective and barely reproducible, numerous simulators have emerged over past decades, generating synthetic bioimage datasets complemented with inherent reference annotations. However, the installation and configuration of these tools generally constitutes a barrier to their widespread use. Results We present a modern, modular web-interface, CytoPacq, to facilitate the generation of synthetic benchmark datasets relevant for multi-dimensional cell imaging. CytoPacq poses a user-friendly graphical interface with contextual tooltips and currently allows a comfortable access to various cell simulation systems of fluorescence microscopy, which have already been recognized and used by the scientific community, in a straightforward and self-contained form. Availability and implementation CytoPacq is a publicly available online service running at https://cbia.fi.muni.cz/simulator. More information about it as well as examples of generated bioimage datasets are available directly through the web-interface. Supplementary information Supplementary data are available at Bioinformatics online.
- Subjects :
- Statistics and Probability
0303 health sciences
Computer science
business.industry
Machine learning
computer.software_genre
Applications Notes
Biochemistry
030218 nuclear medicine & medical imaging
Computer Science Applications
03 medical and health sciences
Computational Mathematics
0302 clinical medicine
Computational Theory and Mathematics
Multi dimensional
Fluorescence microscope
Computer Simulation
Artificial intelligence
User interface
Bioimage Informatics
business
Molecular Biology
computer
Software
030304 developmental biology
Subjects
Details
- ISSN :
- 14602059 and 13674803
- Volume :
- 35
- Database :
- OpenAIRE
- Journal :
- Bioinformatics
- Accession number :
- edsair.doi.dedup.....56abd654de71cbbd7a8be64669dff6c3
- Full Text :
- https://doi.org/10.1093/bioinformatics/btz417