This important study presents a new method for longitudinally tracking cells in two-photon imaging data that addresses the specific challenges of imaging neurons in the developing cortex. It provides ...

Also checkout this great introduction to modern 3D data processing that features Open3D: 3D Data Science with Python by Dr. Florent Poux From the author: Throughout the book, I showcase how Open3D ...

Data Pre-processing All data pre-processing are handled using Python. When dealing with air quality historical data, we need to replace all unknown value to zero or some meaningful value. Here, the ...

UCLA researchers have introduced a framework for synthesizing arbitrary, spatially varying 3D point spread functions (PSFs) ...

NEVADA, IOWA / ACCESS Newswire / June 17, 2025 / The ALMACO D1 Data Collection Unit is a new modern seed research solution designed to deliver precise, real-time plot harvest yield data.

Here we use cryogenic electron microscopy to determine the structure of TbAQP2 from Trypanosoma brucei, bound to either the substrate glycerol or to the sleeping sickness drugs, pentamidine or ...

Discover the best U.S. colleges offering online data analytics certificates. Explore tuition rates, credit requirements and career options for graduates.

A new, densely annotated 3D-text dataset called 3D-GRAND can help train embodied AI, like household robots, to connect language to 3D spaces. The study, led by University of Michigan researchers ...

Detecting points of interest on 3D shapes is a fundamental research problem in geometry processing. Due to the complicated relationship between points of interest and their geometric features, ...

IoU improved by 48.8% for pedestrians. We conducted empirical studies on public datasets and our datasets to demonstrate that DTNLS has broad applicability and better performance in 3D point cloud ...

Learn how to use Python in Excel for data analysis, combining powerful plots and libraries with Excel's formulas and tables in a secure, efficient environment.