Compare deep learning cell segmentation tools Cellpose and StarDist: how each works, how they differ by imaging type, and ...

Werner Heisenberg's famous uncertainty principle describes one of the most intriguing features of quantum physics: certain pairs of physical quantities describing a particle, such as position and ...

The human microbiome is essential to our health, but scientists have only begun to understand why. Two researchers set out to ...

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 ...

A few years ago, Austin Wrenn noticed something unsettling in his strawberry greenhouses at Wrenn's Farm in Zebulon, North Carolina. He was one of the first growers in the state to experience losses ...

It began with video games, a paintball experiment and a bold bet that few understood. Today, Nvidia has become a company every tech giant depends on to build the future of artificial intelligence.

A difficulty-graded mouse brain dataset pairs 3D microscopy images with verified neuron reconstructions to support AI-driven ...

Summary: An international team of scientists and clinicians developed a generative artificial intelligence framework that unmasks these previously hidden cortical lesions by analyzing existing legacy ...

A research team led by Profs. Jascha Repp, Rupert Huber, Franz Giessibl, and Klaus Richter at RUN, as well as a team led by ...

A plasmonic graphene oxide-based aptasensor detects aflatoxin M1 in dairy at 0.005 ng/mL, enhancing food safety monitoring ...

Unlike almost every other kind of microscope, atomic-force microscopes (AFMs) don’t use any kind of optical beam to image ...

The era of researchers manually searching for two-dimensional semiconductors, which are drawing attention as next-generation ...