bioimagesUnknownhttps://www.ebi.ac.uk/biostudies/studies/S-BIAD840bioimagesSpecimenStudy ComponentorganisationBiosampleAssociationsImage acquisitionMatthew J RenshawDavid BarryRebecca A JonesDanelle DevenportfalseAutomated staging of zebrafish embryos with deep learningThe zebrafish (Danio rerio), is an important biomedical model organism used in many disciplines. The phenomenon of developmental delay in zebrafish embryos has been widely reported as part of a mutant or treatment-induced phenotype. However, the detection and quantification of these delays is often achieved through manual observation with reference to staging guides, which is both time-consuming and subjective. We recently reported a machine learning-based classifier, capable of quantifying the developmental delay between two populations of zebrafish embryos. Here, we build on that work by introducing a deep learning-based model that has been trained to predict the age (hours post fertilisation) of populations of zebrafish embryos. We show that when KimmelNet is tested on 2D brightfield im2023-08-10T00:00:00Z2023-08-10T14:29:46.991Z2023-08-10T14:29:46.991ZS-BIAD840