Novikov dmitri (4 risultati)
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Da: preigu, Osnabrück, Germaniapreigu
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Taschenbuch. Condizione: Neu. High Resolution Imaging of Polytene Chromosomes | Illustrated Protocols of New Method and Computer Vision Perspectives | Dmitri Novikov | Taschenbuch | Englisch | VDM Verlag Dr. Müller | EAN 9783639129243 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnab…rück, mail[at]preigu[dot]de | Anbieter: preigu.
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Da: Mispah books, Redhill, SURRE, Regno UnitoMispah books
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Paperback. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Da: moluna, Greven, Germaniamoluna
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Kartoniert / Broschiert. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Novikov DmitriDmitri V. Novikov, Ph.D., University of Illinois. Director of nMicroscopy Facility of the School of Molecular and Cellular nBiology at the University of Illinois.…The exceptional organization of polytene chromosomes.
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The exceptional organization of polytene chromosomes has made fruit fly Drosophila melanogaster a premier model organism for visualization of genes. A major barrier to full exploitation of polytene chromosome cytology has been the diffi…culty in producing good chromosome preparations. A new, economical procedure using high pressure and other modifications to overcome this barrier is presented. Light microscopy images of such slides compared to electron microscopy images for the first time show similar or superior detail. Results from typical staining applications, including immunofluorescence and fluorescence in situ hybridization are illustrated, and optimized protocols for light and electron microscopy presented. Also included are notes on the general architecture of polytene chromosomes. Improved chromosome images prompted collaborative development of computer vision applications for automated recognition and analysis of structural patterns. These methods should be helpful for researchers and students using the classical polytene chromosome model as well as to all scientists exploring wonderful possibilities that computer vision opens to modern microscopy.
