Researchers from Tokyo Metropolitan University have developed a suite of algorithms to automate the counting of sister ...

New model extracts stiffness and fluidity from AFM data in minutes, enabling fast, accurate mechanical characterization of living cells at single-cell resolution. (Nanowerk Spotlight) Cells are not ...

Using machine learning to guide microscopes could reveal greater insights into the brain's connectome and deepen our ...

The special Collection “Machine learning for automated experimentation in STEM” explores all aspects of the integration of machine learning (ML) into STEM to transform experimental workflows. This ...

The image pair captured in the banner shows the reduction in noise and increase in image quality between standard FDK imaging (left) and Zeiss DeepRecon Pro (right). Metal syntactic foam sample ...

Schematic diagrams illustrating the atomic arrangement of an MoS₂ specimen observed using 4D-STEM, showing atomic-scale mapping in real-space coordinates x and y and corresponding diffraction patterns ...

Researchers from Tokyo Metropolitan University have developed a suite of algorithms to automate the counting of sister ...

Explore how AI is transforming advanced materials design by analyzing microscopy images to create smarter, faster innovation pipelines.

Combining microscopy and machine-learning techniques leads to faster, more precise analyses of critical coating materials ...

UIUC's platform, christened Stomata In-Sight, combines laser scanning confocal microscopy, gas exchange instruments and ...

In this issue of BioTechniques, we present a method for Mycobacterium tuberculosis detection using a colorimetric single-tube nested PCR assay, a strand displacement amplification method for ...