Researchers from Aarhus University—in a major international collaboration—have developed a groundbreaking method that can ...

Understanding the interaction between light and matter at the smallest scales (angstrom scale) is essential for advancing ...

Homeostatic plasticity, the brain's method of preserving equilibrium in neural circuits, relies heavily on spontaneous ...

Researchers have developed a new microscope that can visualize the optical response of surfaces at an unprecedented spatial ...

This study reveals nonlinear optical properties of semiconductor-metal nanocavities, enhancing imaging techniques for advanced nanophotonic device development.

DIHM belongs to a broader category of computational microscopy techniques (12,13) where data captured by the camera requires appropriate processing to reconstruct physically meaningful information.

Even those who maintain that super-resolution microscopy is a powerful tool of biological discovery have admitted that it may have a bit of an image problem. For example, in a recent review ...

Here, we develop a simple and inexpensive device that enables ExM within the wells of a standard 96-well cell culture plate. We show that samples prepared with our workflow can be imaged with a ...

Next step in light microscopy image improvement New deep learning architecture enables higher efficiency compared to widely used methods Date: November 19, 2024 Source: Helmholtz-Zentrum Dresden ...

Subsequently, we classified deep learning-based light field microscopy reconstruction algorithms into three types based on the contribution of deep learning, including fully deep learning-based method ...

More information: Wei Ren et al, Expanding super-resolution imaging versatility in organisms with multi-confocal image scanning microscopy, National Science Review (2024).