Whole-mount 3D imaging at the cellular scale is a powerful tool for exploring complex processes during morphogenesis. In organoids, it allows examining tissue architecture, cell types, and morphology ...

In this letter, a general design criterion is proposed for optimizing non-uniform three-dimensional (3D) arrays to enhance near-field capacity in extremely large-scale MIMO (XL-MIMO) communications.

Explore how Python enhances automation in 3D workflows with OpenUSD, enabling rapid prototyping and efficient scene manipulation, crucial for industries handling complex 3D data.

Raytheon and Umbra “will help us educate customers, bring 3D data products to market faster, and launch our own satellite imaging clusters,” said Array Labs CEO Andrew Peterson.

News 19/06/2024 Holoplot's Ryan Penny dives into the new X2 compact matrix array, highlighting its 3D audio beamforming capabilities for the AV market.

In conclusion, this lightweight Python framework provides a high-level API for creating and rendering scenes with Blender. It simplifies access to selected Blender functions and objects, which makes ...

Hey @Arthur151 I clarified my concepts and used Humannerf for my own 3d reconstruction and your parameters, helped a lot in this. Thank you for the work. There's one final thing that I have to achieve ...

In Python, NumPy provides the fundamental data structure and API for working with raw ND arrays. However, real-world datasets are usually more than just raw numbers; they have labels which encode ...