SpyDen: simplifying molecular and structural analysis across spines and dendrites

Authors

Tatjana Tchumatchenko (ORCID: https://orcid.org/0000-0001-9137-809X)
Maximilian F. Eggl (ORCID: https://orcid.org/0000-0001-5815-1045)
Surbhit Wagle (ORCID: https://orcid.org/0000-0002-3825-6875)
Yukiko Goda (ORCID: https://orcid.org/0000-0003-0352-9498)
Thomas E. Chater (ORCID: https://orcid.org/0000-0001-6133-0001)
Jean P. Filling

Institutions

University of Bonn (DE)
Okinawa Institute of Science and Technology Graduate University (JP)
Johannes Gutenberg University Mainz (DE)
Keio University (JP)
University Hospital Bonn (DE)
RIKEN Center for Brain Science (JP)
Instituto de Neurociencias (ES)
University Medical Center of the Johannes Gutenberg University Mainz (DE)
Department of Physiological Sciences (RU)

Publication Details

Journal: Bioinformatics
Published: 2025-06-16
DOI: https://doi.org/10.1093/bioinformatics/btaf339
Primary Topic: Cell Image Analysis Techniques
Type: article
Field-Weighted Citation Impact: 0.00

Funders

Joachim Herz Stiftung
European Commission
Deutsche Forschungsgemeinschaft
Rheinische Friedrich-Wilhelms-Universität Bonn
RIKEN

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article

SpyDen: simplifying molecular and structural analysis across spines and dendrites

Tatjana Tchumatchenko, Maximilian F. Eggl, Surbhit Wagle, Yukiko Goda et al.

Jun 16, 2025

1 links

Bioinformatics

Cell Image Analysis Techniques

article

SpyDen: simplifying molecular and structural analysis across spines and dendrites

Tatjana Tchumatchenko, Maximilian F. Eggl, Surbhit Wagle, Yukiko Goda, Thomas E. Chater, Jean P. Filling

June 16, 2025article en

Abstract

No abstract available for this paper.

BioinformaticsVol. 41(7)

University of Bonn (DE), Okinawa Institute of Science and Technology Graduate University (JP), Johannes Gutenberg University Mainz (DE), Keio University (JP), University Hospital Bonn (DE), RIKEN Center for Brain Science (JP), Instituto de Neurociencias (ES), University Medical Center of the Johannes Gutenberg University Mainz (DE), Department of Physiological Sciences (RU)

Joachim Herz Stiftung, European Commission, Deutsche Forschungsgemeinschaft, Rheinische Friedrich-Wilhelms-Universität Bonn, RIKEN

Openalex Percentile: Top 89%

Cell Image Analysis Techniques

DOI Open Access PDF OpenAlex

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SpyDen: simplifying molecular and structural analysis across spines and dendrites — Tatjana Tchumatchenko, Maximilian F. Eggl, et al. · Bioinformatics (2025) | TGRS Research Map | TGRS