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Record Nr. |
UNINA9911019178203321 |
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Autore |
Qu Junle |
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Titolo |
Super Resolution Optical Imaging and Microscopy : Methods, Algorithms, and Applications |
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Pubbl/distr/stampa |
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Newark : , : John Wiley & Sons, Incorporated, , 2023 |
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©2024 |
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ISBN |
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9783527835539 |
9783527835522 |
9783527349869 |
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Edizione |
[1st ed.] |
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Descrizione fisica |
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1 online resource (259 pages) |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Fluorescence microscopy |
Optical images |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Cover -- Title Page -- Copyright -- Contents -- Preface -- Chapter 1 Super‐Resolution Microscopy (SRM): Brief Introduction -- 1.1 Optical Microscopy -- 1.1.1 History and Background -- 1.2 Specialized Optical Microscopes -- 1.2.1 Inverted Microscopes -- 1.2.2 Confocal Microscopes -- 1.3 Optical Diffraction Limit -- 1.4 Super‐Resolution Microscopy: Overcoming the Diffraction Limit -- 1.5 Near‐Field Scanning Optical Microscopy -- 1.6 Far‐Field Super‐Resolution Microscopy -- 1.7 Fluorescent Probes for Super‐Resolution Microscopy -- 1.8 Image Analysis Algorithms -- 1.9 Applications -- 1.10 Outline of the Content of Succeeding Chapters -- Acknowledgment -- References -- Chapter 2 Point Spread Function Engineering SRM -- 2.1 Stimulated Emission Depletion Microscopy (STED) -- 2.1.1 Principles of STED -- 2.1.2 Three‐Dimensional STED -- 2.1.3 Multi‐Color and Multi‐Photon STED -- 2.1.4 Strategies to Reduce STED Power -- 2.1.4.1 Time‐Gated STED Technology -- 2.1.4.2 Offline Gated STED Technology -- 2.1.4.3 Phasor‐Plot Analysis of STED‐FLIM |
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Sommario/riassunto |
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This book, edited by Junle Qu and Zhigang Yang, provides a comprehensive exploration of super-resolution optical imaging and |
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microscopy. It covers various methods, algorithms, and applications in the field, emphasizing the significance of these technologies in biological research. The book includes discussions on point spread function engineering, single molecule localization microscopy, fluorescence imaging, structured illumination microscopy, and the role of deep learning in microscopy. It also delves into the development of fluorescent materials and the historical evolution of optical microscopes. The intended audience includes researchers and professionals in biomedical photonics and related fields. |
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