Celestron Labs CB2000C Compound Binocular Microscope (White) at Amazon for $539 Made from sturdy, quality materials, this biological microscope by Celestron Labs is robust and durable and well ...

The market for biological microscopes is expanding due to the rising prevalence of various cancers among children and the elderly population, which has increased demand for diagnostic tools.

In Nijmegen, Netherlands, researchers have installed the world's first microscope capable of live imaging of biological processes in such detail that moving protein complexes are visible.

A new microscope is capable of live imaging of biological processes in such detail that moving protein complexes are visible. In Nijmegen, the world's first microscope has been installed that is ...

(Courtesy: Hillary Sanctuary/EPFL/CC BY-SA) Fluorescence microscopy of live cells provides an indispensable tool for studying the dynamics of biological systems. But many biological processes – such ...

According to their report published in Neurophotonics, this microscopy system was designed for imaging fast biological processes at a high temporal as well as spatial resolution. One of the key ...

Imagine you’re a PhD student with a fluorescent microscope and a sample of live bacteria. What’s the best way use these resources to obtain detailed observations of bacterial division from the ...

Speed up: The new Brillouin microscopy approach allows entire light-sheets to interact with 3D biological samples. The scattered light reveals a unique optical interference signal that can be recorded ...

Versatile, portable, inexpensive and packed with features, the Swift SW200DL Compound Monocular Microscope is an excellent choice for beginners, students or enthusiasts looking for a little fun.

Light microscopes have been evolving for centuries. Scientists use light microscopy to—literally and figuratively—illuminate the most intricate biological structures. However, unraveling the complex ...

Kaizen rethinks cell segmentation by mimicking brain predictions. Using an iterative machine-learning approach to refine boundaries in crowded microscopy images, it enhances accuracy in tissue studies ...