A computational tool developed to construct three-dimensional anatomical atlases from two-dimensional data generates volumetrically complete and aligned atlases for all stages of development in the Allen Developing Mouse Brain Atlas.

Based on 3D visualization of fluorescently labeled cytoskeletal networks, an imaging platform is provided, which allows 3D network reconstruction, immersive visualization and quantification of local network properties serving as blueprints for functional modeling.

A deep learning-based pipeline was developed for extracting cellular signals flexibly from moving cells in 3D time lapse images, and it outperformed previous methods under different imaging conditions.

Melanin staining for micro-CT imaging, using a novel application of ionic silver deposition, enables qualitative and quantitative 3D analysis of zebrafish pigmentation and reveals subtle phenotypes missed by light microscopy.

Phase contrast X-ray tomography based on a combination of parallel and cone beam geometry extends conventional histology by a third dimension and enables full quantication of tissue remodeling in COVID-19.

A piece of first-surface mirror for side-view observation enables non-destructive in situ monitoring of structural changes of 3D tumor spheroids during the formation, migration, and fusion process.

Self-supervised deep learning models can accurately perform 3D segmentation of cell nuclei in complex biological tissues, enabling scalable analysis in settings with limited or no ground truth annotations.

Deep imaging, machine-learning-based segmentation, and tissue annotation resulted in a developmental series of 3D digital ovules with cellular resolution allowing next-level analysis of the ontogenesis of this complex organ.

A one-photon three-dimensional light sculpture technique has been developed and demonstrated for high spatio-temporal resolution photostimulation and imaging of dozens of neurons in the intact mouse brain in vivo.

The 3D shape and dynamic organization of epithelial cells are far more complex than previously believed, but can be explained with simple physical principles based on lateral surface energy minimisation.