Global health is changing as a result of developments in life sciences research and technology, and these advancements have the potential to offer innovative and improved approaches to promote a ...
The rapid evolution of microscopy techniques has transformed our ability to visualise biological structures and processes at unprecedented resolutions. Advances in live‐cell imaging, super‐resolution ...
Modern bioassays tend to fall under three common modalities: colorimetric, luminometric or fluorometric. Colorimetric assays record the amount of light absorbed by a reporter compound. This absorbance ...
Confocal microscopy is a specialized fluorescence imaging technique that scientists use to acquire images at greater resolution than conventional microscopy. 1 In addition to scanning the lateral x ...
Hamamatsu Photonics has succeeded in creating a technology “that upgrades the spatial resolution of two-photon excitation fluorescence microscopy,” the company this week stated. Suited to ...
This seminar provides an overview of fluorescence microscopy in cancer research and other cell-based applications in the biosciences discovery workflow. In comparison with phase contrast and ...
descSPIM enables three-dimensional imaging of diverse tissues like neural cells and cancerous tumors. The widespread dissemination and adoption of descSPIM can accelerate biomedical discoveries. Three ...
Two-photon microscopy is a type of fluorescence microscopy that, rather than exciting the sample with a single photon, makes use of multiple photons. The advantage over more traditional one-photon ...
The entire optical path of the BX53 is designed for optimal fluorescence imaging, using UIS2 components that set new standards in precision and clarity. High-quality mirror cube coatings provide ...
Light microscopy is a key tool that scientists use to image cells, organelles, subcellular structures, and molecules such as proteins and nucleic acids. Because visible light leaves biological ...
Integrating deep learning in optical microscopy enhances image analysis, overcoming traditional limitations and improving classification and segmentation tasks.