What's New on MicroscopyU
We’re happy to announce that we’ve updated our article on Single-Molecule Super-Resolution Imaging. This article now contains an in-depth discussion of sample preparation, including near-comprehensive tables listing known fluorescent probes and buffer systems for single molecule localization microscopies.
Most Viewed Review Articles
The resolving power of a microscope is the most important feature of the optical system.
The ratio of the speed of light in a vacuum to that in the imaging medium of a microscope.
Discussion of birefringence, Brewster's angle, and various forms of polarized light.
A mechanism to translate variations in phase into corresponding changes in amplitude.
Most Viewed Tutorials
Spatial Resolution in Digital Imaging
Spatial resolution refers to the number of pixels utilized in construction of the image.
Stochastic Optical Reconstruction Microscopy (STORM) Imaging
Review the basic steps involved in acquiring a STORM super-resolution image.
Numerical Aperture and Image Resolution
Explore how objective numerical aperture size influences Airy disk properties.
Eyepiece Reticle Calibration
Explores calibration of various eyepiece reticles using a stage micrometer and demonstrates how the reticle can then be employed to determine linear specimen dimensions.
Michael Davidson was a brilliant scientist, artist and photographer. The creator of MicroscopyU, Davidson also authored many scientific articles on the subject of photomicrography. His photomicrographs were published in more than a thousand national and international scientific journals, popular magazines and newspapers. In addition, Davidson’s photomicrography won more than 40 awards in scientific and industrial photography competitions and has been exhibited at over 50 locations nationwide.
Nikon Small World Winners
Congratulations to the winners of the 2021 Nikon Small World Photomicrography Competition!
Free eBook from Nikon and Science
'How deep learning is used within microscopy’ includes an educational primer on deep learning in microscopy and a number of recent research articles highlighting the use of machine learning or deep learning for image analysis.
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