Super Resolution Optical Imaging and Microscopy (eBook, PDF)

Methods, Algorithms, and Applications
Redaktion: Qu, Junle; Yang, Zhigang

• Format: PDF

Produktbeschreibung

This book not only covers the basic concepts of various super-resolution microscopy methods but also comprehensively presents the contemporary insights of the advancement in optical techniques, fluorescent probe design as well as algorithm development.

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Produktdetails

• Verlag: Wiley-VCH
• Seitenzahl: 256
• Erscheinungstermin: 18. Dezember 2023
• Englisch
• ISBN-13: 9783527835515
• Artikelnr.: 69861479

Autorenporträt

Dr. Junle Qu is a Professor in the College of Physics and Optoelectronic Engineering at Shenzhen University, and the director of Center for Biomedical Optics and Photonics of Shenzhen University. His current research interests include biomedical optical imaging and imaging guided optical therapy. He has published more than 500 papers in peer reviewed journals. He is the Fellow of SPIE and the director of Biomedical Photonics Committee of Chinese Optical Society. He serves in the editorial boards of JIOHS, Biosensors, Frontiers of Optoelectronics etc.   Dr. Yang Zhigang is currently an associate professor in the College of Physics and Optoelectronic Engineering, Shenzhen University, and a member of Center for Biomedical Optics and Photonics of Shenzhen University. He received his PhD from the State Key Laboratory of Fine Chemicals of Dalian University of Technology. After 3 years researching at Korea University, he became a faculty member of Shenzhen university. His research interests mainly focus on development of optical probes and biological imaging including super-resolution fluorescent imaging and fluorescence life imaging and Visible-Near Infrared I/II imaging, etc.

Inhaltsangabe

1 Super-Resolution Microscopy (SRM): Brief Introduction
2 Point Spread Function Engineering SRM
3 Single Molecule Localization Microscopy (SMLM)
4 Fluorescence Fluctuation-Based Super-Resolution Imaging
5 Structured Illumination Microscopy
6 Deep Learning-Based SR Microscopy
7 Fluorescent Materials for Super-Resolution Imaging
8 Label-Free Super-Resolution Microscopy: Evading Fluorescent Probes
9 Conclusion and Future Perspectives