Recently, scientists analyzed several polymeric core nanoparticles using the fluorescence quenching method and demonstrated that some of the observed core-shell structures were actually artifacts created by the staining process.
In an article published in The Journal of Physical Chemistry C, a brightfield DMD-based multiplexing microscope was employed to investigate the two-dimensional (2D) nanomaterials.
A recent study published in the journal ACS Nano addresses this issue by presenting a universal approach for quantifying the layer numbers in two-dimensional materials utilizing red-green-blue (RGB) and RAW optical images.
The review article published in the journal Micron focused on various aspects of nanopore technology based on TEM.
scientists at the U.S. Department of Energy's (DOE) Brookhaven National Laboratory received the 2022 Microscopy Today Innovation Award for their development of a system with bonded x-ray lenses that make nanoscale resolution more accessible than ever before. When the team at the National Synchrotron Light Source II (NSLS-II), a DOE Office of Science user facility, tested the new lens system, they achieved a resolution down to approx. 10 nanometers.
The sintering behavior of the nanoparticles under external stimulus was analyzed via a quasi-four-dimensional TEM approach.
Researchers have recently reviewed ALS analytical technologies, especially spectroscopy and imaging, to highlight their applicability in determining the biological behavior and fate of nanomedicines.
Prior's motorized objective changer nosepieces are the latest addition to the OpenStand product family to provide customers with additional automation for OEM optical solutions and one-off custom microscopes.
The rapidly growing cannabis business is attracting considerable interest from investors, business developers, scientists, and entrepreneurs. The ‘Green Rush’ presents many opportunities for analytical testing labs in the following areas: Heavy Metal Screening, Residual Solvents, Pesticides & Herbicides, Potency Analysis, Cannabinoid Characterization, Quality Control, and other areas.
Microscopic images of 2D materials were processed via three deep-learning architectures for classification, segmentation, and detection.