Autor: Cornea, AndaConn, P. Michael
Wydawca: Elsevier
Dostępność: 3-6 tygodni
Cena: 602,70 zł
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ISBN13: |
9780124095137 |
ISBN10: |
0124095135 |
Autor: |
Cornea, AndaConn, P. Michael |
Oprawa: |
Hardback |
Rok Wydania: |
2014-03-20 |
Tematy: |
PDND |
Fluorescence Microscopy: Super-Resolution and other Novel Techniques delivers a comprehensive review of current advances in fluorescence microscopy methods as applied to biological and biomedical science. With contributions selected for clarity, utility, and reproducibility, the work provides practical tools for investigating these ground-breaking developments. Emphasizing super-resolution techniques, light sheet microscopy, sample preparation, new labels, and analysis techniques, this work keeps pace with the innovative technical advances that are increasingly vital to biological and biomedical researchers.
With its extensive graphics, inter-method comparisons, and tricks and approaches not revealed in primary publications, Fluorescence Microscopy encourages readers to both understand these methods, and to adapt them to other systems. It also offers instruction on the best visualization to derive quantitative information about cell biological structure and function, delivering crucial guidance on best practices in related laboratory research.
Preface 1: Supercritical excitation and emission near surfaces 2: Adaptive optics for fluorescence microscopy of thick tissue 3: Rapid polarization of fluorescence measurements in ex-vivo tissue 4: Microscopy and nanoscale membrane organization 5: Imaging entire organs 6: RNA mimics of GFP 7: High content/throughput imaging and cytometry via fluorescence and surface enhanced Raman scattering (SERS) microscopy 8: Light sheet microscopy applications 9: Cryo-ET-fluorescence super-resolution 10: STED applications 11: Use of engineered nanoparticles based on fluorescence methods for live cell phenomena 12: Illumination pattern correction 13: Confocal stereology 14: Multi-photon microscopy applications in biology 15: TIRF 16: SIM 17: The role of data analysis algorithms in super-resolution localization microscopy
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