A novel method that integrates electron microscopy and laser technology allows for programmable, arbitrary electron beam shaping. It has the ability to be used to improve electron optics and adaptive electron microscopy by increasing sensitivity while decreasing beam-induced damage.
A paper recently published in Biosensors demonstrated the feasibility of using a new method based on hyperspectral microscopic imaging technology and machine learning for skin cancer diagnosis.
In an article published in the journal Materials, researchers proposed an approach based on optical microscopy to statistically characterize the porosity of carbon-fiber-reinforced composite (CFRP) laminate.
Scientists have developed a flexible, needle-like endoscopic imaging tool that can capture 3D microscopic images of tissue.
A new kind of holographic microscope was developed by scientists to observe the neural network in the brain.
Prior Scientific is pleased to introduce its newest automated slide loader, the SL160. This 160 slide capacity loader combines reliability, easy set up, and high capacity to provide automated sl...
A recent study provides the first account of identifying a species of insects from eggs using deep learning techniques, which has implications for significant pest management issues.
EPFL biophysicists have discovered a method to automate microscope control for imaging biological activities in great detail while minimizing stress on the sample.
A pre-proof study from Optics Communications introduces a microscopic image fusion technique to improve the signal-to-noise ratio, the dynamic range, and the root-mean-square contrast of dark-field confocal microscopy imaging. This method generates high-quality images with uniform brightness and improves the damage threshold of optical systems.
In an article published in the journal Soil and Tillage Research, researchers carried out a series of constant-shear drained (CSD) triaxial tests on Q2 loess (silt loam, a loose aeolian deposit) in the South Jingyang Platform of China to better understand the mechanical failure process and properties of soil under the different rate of increase in pore water pressure RIPWPs.