Researchers from the HUN-REN Center for Ecological Research have developed a novel three-dimensional modeling method that ...

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 ...

In this work, we demonstrate the ability to use micromolds along with a stacked three-dimensional (3D) printing process on a commercially available PolyJet printer to fabricate microchip ...

The latest news and headlines from Yahoo News. Get breaking news stories and in-depth coverage with videos and photos.

A package for binary and continuous, single and multi-material, truss and continuum, 2D and 3D topology optimization on unstructured meshes using automatic differentiation in Julia.