2026/06/18 by Mélodie Ambroset, Cesar Augusto Valades‐Cruz, Libert Brice Tonfack +2 · 1 voice
Biochemistry, Genetics and Molecular Biology · Decision Sciences · #Cell Image Analysis Techniques #Scientific Computing and Data Management #Zebrafish Biomedical Research Applications
paper · doi:10.1111/jmi.70125
openalex publication_date 2026/06/18 · openalex created_date 2026/06/19 · openalex updated_date 2026/07/22
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.