Christina Schlagheck

This study shows that extrinsic polarity cues determine whether retinal organoids develop a laminated epithelium or cluster-based organization, revealing plasticity in vertebrate retinal development.

This paper uses deep learning to predict tissue outcomes in retinal organoids before they are visually discernible, improving understanding of developmental trajectories.

This paper develops a multimodal approach combining X-ray computed tomography and light-sheet fluorescence microscopy to visualize gene expression in 3D tissue context, applicable to in vitro models and model organisms.

The paper shows fish-derived organoids rapidly self-organize into retinal tissue, mimicking in vivo eye development, and highlights the impact of cell number and genetics on morphogenesis.