03439nam 22004933 450 991101917820332120250910125424.097835278355399783527835522(electronic bk.)9783527349869(MiAaPQ)EBC31023071(Au-PeEL)EBL31023071(CKB)29414050300041(Exl-AI)31023071(Perlego)4313998(OCoLC)1415897800(EXLCZ)992941405030004120231220d2023 uy 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierSuper Resolution Optical Imaging and Microscopy Methods, Algorithms, and Applications1st ed.Newark :John Wiley & Sons, Incorporated,2023.©2024.1 online resource (259 pages)Print version: Qu, Junle Super Resolution Optical Imaging and Microscopy Newark : John Wiley & Sons, Incorporated,c2023 9783527349869 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‐FLIMGenerated by AI.This book, edited by Junle Qu and Zhigang Yang, provides a comprehensive exploration of super-resolution optical imaging and 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.Generated by AI.Fluorescence microscopyGenerated by AIOptical imagesGenerated by AIFluorescence microscopyOptical images621.367Qu Junle1840104Yang Zhigang1840105MiAaPQMiAaPQMiAaPQ9911019178203321Super Resolution Optical Imaging and Microscopy4419598UNINA