A deep learning-based computational pipeline predicts developmental outcome in retinal organoids: classification images [maximum projections]

Deposited are the source images as used in our publication to predict the tissue development of medaka organoids (https://www.biorxiv.org/content/10.1101/2025.02.19.639061v1). The images are stored in our custom dataset format. In order to read it, you will need to clone the repo: https://github.com/TarikExner/orgAInoid The code to import is the following: ```python from orgAInoid.classification import OrganoidDataset data = OrganoidDataset.read_classification_dataset("./path/to/file.cds") // metadata are accessed via the .metadata attribute. The respective image array index is stored within this table. data.metadata //image arrays are stored at the .X and .y[readout] attribute, where attribute is one of "RPE_Final", "Lens_Final", "RPE_classes" and "Lens_classes" For further information refer to the github repository. ```