CyberSco.Py: open-source software for event-based, conditional microscopy Article Swipe
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· 2022
· Open Access
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· DOI: https://doi.org/10.1101/2022.03.16.484589
Timelapse fluorescence microscopy imaging is routinely used in quantitative cell biology. However, microscopes could become much more powerful investigation systems if they were endowed with simple unsupervised decision-making algorithms to transform them into fully responsive and automated measurement devices. Here, we report CyberSco.Py, Python software for advanced automated timelapse experiments. We provide proof-of-principle of a user-friendly framework that increases the tunability and flexibility when setting up and running fluorescence timelapse microscopy experiments. Importantly, CyberSco.Py combines real-time image analysis with automation capability, which allows users to create conditional, event-based experiments in which the imaging acquisition parameters and the status of various devices can be changed automatically based on the image analysis. We exemplify the relevance of CyberSco.Py to cell biology using several use case experiments with budding yeast. We anticipate that CyberSco.Py could be used to address the growing need for smart microscopy systems to implement more informative quantitative cell biology experiments.
Related Topics
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.1101/2022.03.16.484589
- https://www.biorxiv.org/content/biorxiv/early/2022/03/16/2022.03.16.484589.full.pdf
- OA Status
- green
- References
- 23
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4220972554
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4220972554Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1101/2022.03.16.484589Digital Object Identifier
- Title
-
CyberSco.Py: open-source software for event-based, conditional microscopyWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-03-16Full publication date if available
- Authors
-
Lionel Chiron, Matthias LeBec, Céline Cordier, Sylvain Pouzet, Dimitrije Milunov, Alvaro Banderas, Jean-Marc Di Meglio, Benoît Sorre, Pascal HersenList of authors in order
- Landing page
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https://doi.org/10.1101/2022.03.16.484589Publisher landing page
- PDF URL
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https://www.biorxiv.org/content/biorxiv/early/2022/03/16/2022.03.16.484589.full.pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
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greenOpen access status per OpenAlex
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https://www.biorxiv.org/content/biorxiv/early/2022/03/16/2022.03.16.484589.full.pdfDirect OA link when available
- Concepts
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Python (programming language), Computer science, Software, Microscopy, Fluorescence microscope, Automation, Flexibility (engineering), Artificial intelligence, Fluorescence, Physics, Programming language, Engineering, Optics, Mathematics, Statistics, Mechanical engineeringTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
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23Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| publication_year | 2022 |
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