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 ...
Pushing the MINFLUX technique to higher spatial and temporal precision allows protein dynamics to be observed under physiological conditions. Scientists led by Nobel Laureate Stefan Hell at the Max ...
Researchers at Istituto Italiano di Tecnologia (IIT-Italian Institute of Technology) have developed an innovative microscopy technique capable of improving the observation of living cells. The study, ...
CCD (Charge-coupled Devices) are a technology used in optical microscopy to record images of organic and inorganic structures in fine detail. This article will discuss these devices and why they are ...
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 ...
Conventional light microscopy has been instrumental for the study of cells and microorganisms; fluorescence microscopy has enabled visualization of even smaller cell features by selectively adding ...
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 ...
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 ...
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