SpineS: An interactive time-series analysis software for dendritic spines Article Swipe
Ali Özgür Argunşah
,
Ertunç Erdil
,
Muhammad Usman Ghani
,
Yazmín Ramiro Cortés
,
Anna Felicity Hobbiss
,
Theofanis Karayannis
,
Müjdat Çetin
,
Inbal Israely
,
Devrim Ünay
·
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1101/2020.09.12.294546
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1101/2020.09.12.294546
Live fluorescence imaging has shown the dynamic nature of dendritic spines, with changes in shape occurring both during development and in response to activity. The structure of a dendritic spine positively correlates with its functional efficacy. Learning and memory studies have shown that great deal of the information stored by a neuron is contained in the synapses. High precision tracking of synaptic structures can give hints about the dynamic nature of memory and help us to understand how memories evolve both in biological and artificial neural networks. Experiments that aim to investigate the dynamics behind the structural changes of dendritic spines require the collection and analysis of large time-series datasets. In this paper, we present an open-source software called SpineS for the automatic longitudinal structural analysis of dendritic spines with additional features for manual intervention to ensure optimal analysis. Our extensive experimental analyses on multiple datasets demonstrate that SpineS can achieve a high-level performance on samples collected both by two-photon and confocal imaging systems.
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- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.1101/2020.09.12.294546
- https://www.biorxiv.org/content/biorxiv/early/2020/09/14/2020.09.12.294546.1.full.pdf
- OA Status
- green
- Cited By
- 3
- References
- 43
- Related Works
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- OpenAlex ID
- https://openalex.org/W3085057933
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Raw OpenAlex JSON
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- DOI
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https://doi.org/10.1101/2020.09.12.294546Digital Object Identifier
- Title
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SpineS: An interactive time-series analysis software for dendritic spinesWork title
- Type
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preprintOpenAlex work type
- Language
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enPrimary language
- Publication year
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2020Year of publication
- Publication date
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2020-09-14Full publication date if available
- Authors
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Ali Özgür Argunşah, Ertunç Erdil, Muhammad Usman Ghani, Yazmín Ramiro Cortés, Anna Felicity Hobbiss, Theofanis Karayannis, Müjdat Çetin, Inbal Israely, Devrim ÜnayList of authors in order
- Landing page
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https://doi.org/10.1101/2020.09.12.294546Publisher landing page
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https://www.biorxiv.org/content/biorxiv/early/2020/09/14/2020.09.12.294546.1.full.pdfDirect link to full text PDF
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YesWhether a free full text is available
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-
greenOpen access status per OpenAlex
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https://www.biorxiv.org/content/biorxiv/early/2020/09/14/2020.09.12.294546.1.full.pdfDirect OA link when available
- Concepts
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Dendritic spine, Computer science, SPINE (molecular biology), Software, Neuroscience, Artificial intelligence, Biology, Bioinformatics, Programming language, Hippocampal formationTop concepts (fields/topics) attached by OpenAlex
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3Total citation count in OpenAlex
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2022: 1, 2021: 2Per-year citation counts (last 5 years)
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43Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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