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There are a large number of microscope objective abbreviations relating to optical aberrations; here we'll shed some light on some of the most common ones to get you up to speed in no time!
Martin gained a PhD in Nanotoxicology from Edinburgh Napier University, has around 20 years experience in biomedical research, extensive experience in light microscopy, and has established and managed a microscopy facility.
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Dichroic Mirror/Filter This is a semi-reflective filter which can also be referred to as ‘dichromatic beam splitter’. Unlike the Longpass filters which absorb light which is not transmitted (see Part 1 of the Glossary), these filters reflect light at lower wavelengths and transmit light at wavelengths above the ‘cut-on’ wavelength. As beam splitters, they are…
Continuing from our first article on lasers for confocal microscopy, we will now discuss two specialized types of lasers: lasers for two-photon excitation and tunable, white light lasers. We will also discuss the applications of the two lasers. Lasers for Two-Photon Excitation The two-photon absorption phenomenon was first described for microscopy in 1931. Here, the…
According to the International Society for Stereology, the area of scientific study encompassed by this term is that which analyzes solids. If that all sounds a bit too much like materials science, then for us microscopists, it’s really about the review of three-dimensional objects (mainly tissues) by making horizontal and vertical incisions. Stereology can be…
Whether you want to get started with fluorescence microscopy or already use it, this guide will ensure you know the basics and get the best out of your fluorescence microscopy.
Ever tried to turn the volume all the way up on a small radio or small stereo system? (Hopefully you have not tried it with earphones in!) Notice how, after some point, the sound didn’t get any louder- it just got more distorted? That’s because you’ve hit the ceiling of your machine’s dynamic range. It’s…
Discover how chromatic and geometric imaging aberrations have been corrected over the last few centuries with the development of corrected lenses and objectives.
Machine learning methods for challenging cells such as hepatocytes