In a basement lab in Brandeis' Rosenstiel building, a refrigerator-sized microscope dominates a small, windowless room. On ...

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 ...

From the microstructure of metals to the atomic arrangement of nanomaterials, advanced characterization techniques are transforming how we design, test, and improve materials. Using tools like ...

(Nanowerk News) Researchers have developed a new software package for analyzing images from electron and scanning probe microscopy. The package, AtomAI, uses deep learning. This is a type of machine ...

This is an exciting time for polymer electron microscopy. Recent improvements in instrumentation are pushing resolution limits to remarkable new heights, achieving imaging at 0.5 Å, while dual beam ...

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 ...

They can image a wide range of materials and biological samples with high magnification, resolution, and depth of field, thereby revealing surface structure and chemical composition. Industries like ...

In 2005, few neuroscientists would have bet that electron microscopy could map entire neural circuits in three dimensions. The technique was slow and cumbersome, offering only thin slices of brain ...

The use of artificial intelligence has enabled researchers at the National Laboratory of the Rockies (NLR) to gain a greater understanding of two-dimensional (2D) materials that can be useful for ...