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Nikon Corporation Acquires License From Harvard University For 'STORM' Super Resolution Microscopy -- Will Create Innovative New 'N-STORM' Microscope
Date:12/3/2009

MELVILLE, N.Y., Dec. 3 /PRNewswire/ -- Nikon Corporation, an innovator of advanced optical instruments, announced today that it has signed a licensing agreement with Harvard University granting Nikon the rights to use the Stochastic Optical Reconstruction Microscopy (STORM) technology. Under the terms of the agreement, Nikon will manufacture STORM enabled microscopy systems and market them with the N-STORM name.

Nikon Corporation President, Mr. Michio Kariya, and Nikon Instruments Inc. (www.nikoninstruments.com) are pleased to announce the introduction of the N-STORM Super Resolution microscope system at the American Society For Cell Biology - 49th Annual Meeting (December 5-9, San Diego). The new microscope system incorporates the STORM methodology and is designed to realize resolution higher than ever before achieved by conventional optical microscopes.

The STORM technology is a novel advanced form of optical microscopy and provides a solution for the universal desire among life science researchers to observe tissues and cells more clearly. Optical microscopy is one of the most widely used imaging methods in biomedical research. However, the spatial resolution of optical microscopy, classically limited by the diffraction of light to several hundred nanometers, is substantially larger than typical molecular length scales in cells, leaving many biological investigations beyond the reach of light microscopy. To overcome this limit, a new form of high resolution light microscopy, STORM, was developed in the laboratory of Dr. Xiaowei Zhuang, a Howard Hughes Medical Institute Investigator and Professor of Chemistry and Chemical Biology and Professor of Physics at Harvard University. STORM uses photo-switchable fluorescent probes to temporally separate the otherwise spatially overlapping images of individual molecules, allowing the construction of super resolution image
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