Presynaptic actin nanostructures: A reproducibility case study

In an effort to assess the reproducibility of bioimage analyses in current publications, we took part in a Global BioImage Analysts' Society (GloBIAS) initiative to try and reproduce results from published articles. We attempted to reproduce core findings from Bingham et al. (2023), who investigate the actin organisation in presynaptic structures by using diffraction-limited and super-resolution microscopy. While the original paper unveiled novel biological insight, it lacked sufficient detail in the bioimage analysis methodology, limiting the depth of reproducibility we could achieve. Through frequent contacts with the corresponding author, we were able to replicate qualitative aspects of the analysis of actin nanostructures in bead-induced presynapses. We performed image reconstruction from super-resolution microscopy data, automatic image registration and visual inspection, followed by manual annotation of structures of interest in approximately 35 images. From this exercise, we provide concrete evidence that key practises such as sharing of example datasets, depositing manual annotations and documenting manual decision criteria and consensus procedures are essential for making bioimage analysis workflows reproducible. Our experience further highlights that transparent data sharing, adherence to bioimage analysis standards, and close collaboration between experimentalist and bioimage analysis specialists are critical to ensure the reproducibility of today's complex biological imaging studies.

Authors

Institutions

Publication Details

Journal
Journal of Microscopy
Published
2026-07-24
DOI
https://doi.org/10.1111/jmi.70138
Primary Topic
Cell Image Analysis Techniques
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Presynaptic actin nanostructures: A reproducibility case study

Laura Rodríguez de la Ballina, Rensu P. Theart, Florian Levet, Paul Hernández‐Herrera et al.
Journal of Microscopy
Cell Image Analysis Techniques
article

Presynaptic actin nanostructures: A reproducibility case study

Laura Rodríguez de la Ballina, Rensu P. Theart, Florian Levet, Paul Hernández‐Herrera, Christophe Leterrier
article en

Abstract

In an effort to assess the reproducibility of bioimage analyses in current publications, we took part in a Global BioImage Analysts' Society (GloBIAS) initiative to try and reproduce results from published articles. We attempted to reproduce core findings from Bingham et al. (2023), who investigate the actin organisation in presynaptic structures by using diffraction-limited and super-resolution microscopy. While the original paper unveiled novel biological insight, it lacked sufficient detail in the bioimage analysis methodology, limiting the depth of reproducibility we could achieve. Through frequent contacts with the corresponding author, we were able to replicate qualitative aspects of the analysis of actin nanostructures in bead-induced presynapses. We performed image reconstruction from super-resolution microscopy data, automatic image registration and visual inspection, followed by manual annotation of structures of interest in approximately 35 images. From this exercise, we provide concrete evidence that key practises such as sharing of example datasets, depositing manual annotations and documenting manual decision criteria and consensus procedures are essential for making bioimage analysis workflows reproducible. Our experience further highlights that transparent data sharing, adherence to bioimage analysis standards, and close collaboration between experimentalist and bioimage analysis specialists are critical to ensure the reproducibility of today's complex biological imaging studies.

Journal of Microscopy
Centre National de la Recherche Scientifique (FR), Université de Bordeaux (FR), Inserm (FR), University of Oslo (NO), Autonomous University of San Luis Potosí (MX), Stellenbosch University (ZA), Norwegian Cancer Society (NO), Institut de Neurophysiopathologie (FR), Bordeaux Population Health (FR), Cancer Registry of Norway (NO), Institut Interdisciplinaire de Neuroscience (FR)
Norges Forskningsråd
Peace, Justice and strong institutions
Openalex Percentile: Top 10%
Cell Image Analysis Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.