Cornell University researchers have built an AI system called EMSeek that can analyze an electron microscopy image and deliver a full materials-science report in 2 to 5 minutes, a task that ...

A research team from The Hong Kong University of Science and Technology (HKUST) has developed GrainBot, an AI-enabled toolkit that automatically extracts and quantifies multiple microstructural ...

Combining microscopy, scanning, and deep learning enables more precise imaging of functional dynamics in neural networks of human cortical organoids.

Explore how the National Lab of the Rockies uses advanced microscopy, cryogenic workflows, and automation to connect ...

Modern fluorescence microscopy can generate images of living cells as stunning to look at as they are informative to study.

Large-scale image analysis reveals how C. thermocellum reorganizes cellulosomes Conventional microscopy is labor intensive, and, as senior NLR researcher John Yarbrough is well aware, it only provides ...

This on-demand webinar explores how integrated tools can improve electron microscopy workflows, covering everything from sample preparation to image analysis. Experts Adrian Boey, Andreia Pinto, and ...

In this interview, NewsMed speaks with Georgia Golfis, European Imaris Team Representative, about the launch of Imaris 11 and how its new workflow-driven approach is transforming image analysis ...

Nearly 100 years ago, a seemingly simple discovery revolutionized the microscope. The introduction of phase contrast, which ...

Unlike optical microscopy, SEM does not rely on light waves but instead uses a beam of electrons to interact with materials, enabling magnifications up to 300,000× and resolutions approaching 1 nm. 1 ...