News

Broader application of Brillouin technique will reveal viscoelastic properties of tissues. This should in particular enhance ...
Light scattering spectroscopy identifies the malignant potential of pancreatic cysts during endoscopy. Nature Biomedical Engineering , 2017; 1: 0040 DOI: 10.1038/s41551-017-0040 Cite This Page : ...
Light scattering spectroscopy helps doctors identify early pancreatic cancer New optical tool predicts malignant potential of cysts with 95 percent accuracy, compared to 58 percent accuracy with ...
Light Scattering Spectroscopy Identifies Cancer. News . Last Updated: March 16, 2017 (+ more) Published: March 13, 2017 ...
Nick Stone discusses some of the many ways in which light can be used for diagnostic and therapeutic applications ...
When the scattered light has a wavelength higher or lower than the incident light, the phenomenon is called inelastic light scattering or Raman spectroscopy.
We’ll discuss how combining confocal microscopy with light scattering spectroscopy offers a novel, noninvasive approach with key advantages over existing methods. Bio: Lev T. Perelman is Mary Tolan ...
The employed technique, Brillouin light scattering spectroscopy, can analyze the smallest amounts of plasma in less than a second, making it a promising method for monitoring severely ill patients.
A new report published in Nature Photonics highlights the work from a global community of experts about how to determine a material's stiffness, just ...
In all 11 cases, dynamic light scattering spectroscopy testing correctly identified the Alzheimer’s pattern. Of the remaining six, five were correctly classified as negative based on both PET ...
Dynamic light scattering (DLS), also known as photon correlation spectroscopy or quasi-elastic light scattering, is a technique used to determine the size distribution profile of small particles in ...
The employed technique, Brillouin light scattering spectroscopy, can analyze the smallest amounts of plasma in less than a second, making it a promising method for monitoring severely ill patients.