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Updated: Jun 19, 2026

Quantitative Cell Biology of Neurodegeneration in Drosophila Through Unbiased Analysis of Fluorescently Tagged Proteins Using ImageJ
Published on: August 3, 2018
Assessing the reproducibility of a bioimage analysis workflow characterising tissue flow in Drosophila
Mélodie Ambroset1,2,3, Cesar Augusto Valades-Cruz4, Libert Brice Tonfack5
1CHU Nantes, CNRS, INSERM, BioCore, US16, SFR Bonamy, Nantes Université, Nantes, France.
Abstract:
Reproducibility challenges in bioimage analysis are common. The proliferation of tools and workflows creates a complex ecosystem that is difficult to reproduce without deliberate, explicit reporting and support. We assess the reproducibility of Gehrels et al.(2023) as a representative bioimage analysis workflow. We do not evaluate the biological claims; instead, we examine the reproducibility of the bioimage analysis methods used and the implications for current peer-review practices in the field. Although some data were deposited in the BioImage Archive and code was available on GitHub, the materials were insufficient to completely reproduce the analysis. Moreover, the repository lacked the configuration to enable straightforward replication of the workflow or results. This case study highlighted how incomplete reporting can significantly hinder the reproduction of bioimage analysis workflows. Because scientific progress relies on verifiable replications, insufficiently reproducible results can erode confidence in the scientific record.
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