Celldetective is an open-source software integrating segmentation, tracking, and event detection to perform high-throughput end-to-end study of dynamic cell interactions, without requiring coding ...

The 19th century was an absolutely electrifying era, including in a literal sense. Although the phenomenon of electricity had ...

A new study generated one of the most comprehensive spatially resolved transcriptomic maps of cellular communication between ...

Biopharmaceutical developers should introduce risk-based, phase-appropriate characterization strategies for quality control ...

A framework for analyzing single-cell genomics data, in which geometrical properties are harnessed to obtain insights on cellular diversity, including precise clustering, clear visualizations, and ...

Unlock the hidden potential of Excel's Find and Replace tool to reformat data, use wildcards, and update formulas across ...

Learn how to create Named Ranges in Excel with this tutorial. Topics covered include: - Basics of creating a named range - Comparison of named ranges versus absolute and relative references - Using ...

Abstract: This tutorial guides the reader through the open literature on the aspect of Initial Cell Search (ICS) in both Code Division Multiple Access (CDMA) and Orthogonal Frequency Division Multiple ...

What is Deep Learning (DL)? "Deep Learning is a subfield of machine learning concerned with algorithms inspired by the structure and function of the brain called artificial neural networks." There are ...

Scientists have developed a fuel cell that uses microbes in soil to produce electricity. The device can power underground sensors for tasks like monitoring moisture or detecting touch, without needing ...

Abstract: The realization of high data rates in LTE technology over an all IP network means an ever increasing load on packet data networks. 3GPP has defined data offloading as a key solution to cope ...