Evidence map›Paper›PMID 41699451›Full record

ArticleBMC bioinformatics2026

Semi-automatic geometrical reconstruction and analysis of filopodia dynamics in 4D two-photon microscopy images.

Blaž Brence, Josephine Brummer, Vincent J Dercksen, Mehmet Neset Özel, Abhishek Kulkarni, Neele Wolterhoff, Steffen Prohaska, Peter Robin Hiesinger, Daniel Baum

Erratum issuedAbstract read
In one paragraph

Article in BMC bioinformatics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Blaž Brence *Zuse Institute Berlin, Berlin, Germany. brence@zib.de.
Josephine Brummer *Zuse Institute Berlin, Berlin, Germany.
Vincent J DercksenZuse Institute Berlin, Berlin, Germany.
Mehmet Neset ÖzelFreie Universität Berlin, Berlin, Germany.
Abhishek KulkarniFreie Universität Berlin, Berlin, Germany.
Neele WolterhoffFreie Universität Berlin, Berlin, Germany.
Steffen ProhaskaZuse Institute Berlin, Berlin, Germany.
Peter Robin HiesingerFreie Universität Berlin, Berlin, Germany.
Daniel BaumZuse Institute Berlin, Berlin, Germany. baum@zib.de.

Funding

Deutsche Forschungsgemeinschaft Research Unit 5289 RobustCircuitEuropean Research Council Grant Agreement No. 101019191
6 · The paper itself

Abstract

backgroundFilopodia are thin and dynamic membrane protrusions that play a crucial role in cell migration, axon guidance, and other processes where cells explore and interact with their surroundings. Historically, filopodial dynamics have been studied in great detail in 2D in cultured cells, and more recently in 3D culture as well as living brains. However, there is a lack of efficient tools to trace and track filopodia in 4D images of complex brain cells.

resultsTo address this issue, we have developed a semi-automatic workflow for tracing filopodia in 3D images and tracking the traced filopodia over time. The workflow was developed based on high-resolution data of photoreceptor axon terminals in the in vivo context of normal Drosophila brain development, but devised to be applicable to filopodia in any system, including at different temporal and spatial scales. In contrast to the pre-existing methods, our workflow relies solely on the original intensity images without the requirement for segmentation or complex preprocessing. The workflow was realized in C++ within the Amira software system and consists of two main parts, dataset pre-processing, and geometrical filopodia reconstruction, where each of the two parts comprises multiple steps. In this paper, we provide an extensive workflow description and demonstrate its versatility for two different axo-dendritic morphologies, R7 and Dm8 cells. Finally, we provide an analysis of the time requirements for user input and data processing.

conclusionTo facilitate simple application within Amira or other frameworks, we share the source code, which is available at https://github.com/zibamira/filopodia-tool .

Indexed as

Image Processing, Computer-AssistedImaging, Three-DimensionalMicroscopy, Fluorescence, MultiphotonPseudopodiaAnimalsBrainDrosophilaSoftware4D image analysisFilopodiaSemi-automatic workflowTracingTrackingTwo-photon microscopy

Identifiers

PMID41699451
PMCPMC12931088

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.