UID:
almahu_9949708243702882
Umfang:
1 online resource (256 pages)
ISBN:
9783527835539
,
3527835539
Inhalt:
Super Resolution Optical Imaging and Microscopy Extremely comprehensive resource containing cutting-edge and practical knowledge of super-resolution optical imaging This book covers both the basic principles and specific technical details of super-resolution microscopy techniques. It covers the criteria to choose different fluorophores for various SRM methods and critically assesses the nitty-gritty of associated problems that are often encountered in practical applications. A progressive guide to designing the next generation of advanced fluorophores to meet the goal of advanced SR imaging studies is also put forward. Written by two well-qualified authors, the book contains exclusive content to enhance readers' understanding on innovation of newer SRM technologies. Sample topics covered in the book include: Optical techniques, fluorescent probe design, and algorithm development Recent highlight and breakthroughs in biology using SRM methods The overall success of SRM in biological inventions The future direction and scope of the field This book is an invaluable resource for chemists and researchers/scientists involved in designing newer fluorescent materials for SRM studies. It can also assist biologists engaged in advanced biological studies using SRM by guiding them through sample preparation, image processing, and precautions to be taken in practical imaging studies.
Anmerkung:
Preface -- 1 Super-Resolution Microscopy (SRM): Brief Introduction 1 Zhigang Yang, Soham Samanta, and Yingchao -- 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 -- 2 Point Spread Function Engineering SRM 15 Wei Yan, Luwei Wang, Yinru Zhu, Jialin Wang, and Ruijie Xiang -- 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 -- 2.1.4.4 STED Super-Resolution Imaging with Quantum Dots -- 2.1.4.5 Temporal and Spatial Modulation STED -- 2.1.4.6 STED Super-Resolution Imaging Based on Adaptive Optics -- 2.1.5 Live Cell Imaging -- 2.2 Ground State Depletion (GSD) Microscopy -- 2.2.1 Principles of GSD -- 2.2.2 Advantages and Disadvantages of GSD -- 2.2.3 Applications of GSD -- 2.3 Reversible Saturable Optical Fluorescence Transition Microscopy -- 2.3.1 Improvement in the RESOLFT System -- 2.3.1.1 Parallelized RESOLFT Microscopy -- 2.3.1.2 Two-Photon RESOLFT -- 2.3.1.3 Dual-Channel RESOLFT Imaging -- 2.3.1.4 Three-Dimensional Imaging -- 2.3.2 Fluorescent Probe for RESOLFT Microscopy -- 2.3.2.1 Early-Stage: Fluorescent Protein -- 2.3.2.2 Improvement Based on Fluorescence Dynamics -- 2.3.2.3 Improvement in Other Properties -- 2.3.2.4 Organic Fluorophores -- 2.3.3 Advances in RESOLFT Application -- 2.3.3.1 Application in Life Science -- 2.3.3.2 Application in Writing and Manufacturing at the Nanoscale -- 2.4 Conclusion -- Acknowledgment -- References -- 3 Single-Molecule Localization Microscopy (SMLM) 51 Danying Lin, Yingying Jing, Pengfa Chen, Zekai Wu, Zhenquan Gong, Jiao Zhang, Arup Tarai, and Xuehua Wang -- 3.1 Main Idea of SMLM -- 3.2 Stochastic Optical Reconstruction Microscopy (STORM) -- 3.2.1 Implementation of STORM -- 3.2.1.1 Typical Optical Setup -- 3.2.1.2 Two Key Steps -- 3.2.1.3 Derivative Forms -- 3.2.2 Key Consideration in STORM -- 3.2.3 Multi-Color STORM -- 3.2.4 Three-Dimensional STORM -- 3.2.4.1 PSF Engineering -- 3.2.4.2 Multi-Focal Plane Imaging -- 3.2.4.3 Other Methods -- 3.2.5 Live Cell STORM Imaging -- 3.3 Photo-Activated Localization Microscopy (PALM) -- 3.3.1 Basic Principle of PALM and Differences with STORM -- 3.3.2 Single-Particle Tracking PALM (sptPALM) -- 3.4 Point Accumulation for Imaging in Nanoscale Topography (paint) -- 3.4.1 Basic Principle, Advantages, and Disadvantages of PAINT -- 3.4.2 Modifications of PAINT -- 3.4.2.1 uPAINT -- 3.4.2.2 DNA-PAINT and Exchange-PAINT -- 3.5 Single-Molecule Localization Algorithms -- 3.5.1 Algebraic Algorithms -- 3.5.2 Single-Emitter Fitting Algorithms -- 3.5.3 Multi-Emitter Fitting Algorithms -- 3.5.4 CS Algorithms -- 3.5.5 Other Methods -- 3.6 Minflux -- 3.7 Conclusion -- Acknowledgment -- References -- 4 Fluorescence Fluctuation-Based Super-Resolution Imaging 93 Xuehua Wang and Bin Yu -- 4.1 Stochastic Optical Fluctuation Imaging (SOFI) -- 4.1.1 XC-SOFI -- 4.1.2 bSOFI -- 4.1.3 fSOFI -- 4.1.4 Speckle SOFI -- 4.2 Other Techniques -- 4.2.1 VISion -- 4.2.2 Bayesian Analysis of Blinking and Bleaching (3B) -- 4.2.3 Super-resolution Radial Fluctuations (SRRF) -- 4.2.4 Entropy-Based Super-Resolution Imaging (ESI) -- 4.2.5 Multiple Signal Classification Algorithm for Super-resolution Fluorescence Microscopy (MUSICAL) -- 4.3 Applications of Fluorescence Fluctuation-Based SRM Methods -- 4.4 Conclusion -- Acknowledgment -- References -- 5 Structured Illumination Microscopy 107 Bin Yu, Siwei Li, Faiz Wali, and Rong -- 5.1 Introduction -- 5.2 Wide-field SIM -- 5.2.1 Basics of SIM -- 5.2.2 SR-SIM -- 5.2.2.1 Conventional Grating-Based SIM -- 5.2.2.2 Blind SIM -- 5.2.2.3 Grazing Incidence SIM (GI-SIM) -- 5.2.2.4 Hessian-SIM -- 5.2.3 Summary -- 5.3 Point-Scanning SIM -- 5.3.1 Principle of PS-SIM -- 5.3.2 PS-SIM Based on the Digital Method -- 5.3.3 PS-SIM Based on the Optical Method -- 5.3.4 Special PS-SIM -- 5.3.5 Summary -- 5.4 Conclusions and Future Prospects -- Acknowledgement -- References -- 6 Deep Learning-Based SR Microscopy 135 Jia Li and Jianhui Liao -- 6.1 Introduction -- 6.2 Fundamentals of Deep Networks -- 6.2.1 Neural Networks -- 6.2.2 Activation Function and Layers -- 6.2.2.1 Sigmoid -- 6.2.2.2 Softmax -- 6.2.2.3 Rectified Linear Unit (ReLU) -- 6.2.2.4 Leaky ReLU -- 6.2.3 Training and Data -- 6.2.3.1 Gradient Descent -- 6.2.3.2 Backpropagation -- 6.2.3.3 Data -- 6.2.4 Loss Functions -- 6.3 Deep Learning for SR Image Reconstruction -- 6.3.1 2D Reconstruction Methods -- 6.3.1.1 Convolutional Neural Networks (CNNs) -- 6.3.1.2 Convolutional Layer -- 6.3.1.3 Pooling Layer -- 6.3.1.4 Properties -- 6.3.1.5 SR Image Reconstruction with CNN -- 6.3.1.6 Generative Adversarial Networks (GANs) -- 6.3.1.7 Game Theory -- 6.3.1.8 Architecture -- 6.3.1.9 Training -- 6.3.1.10 SR Image Reconstruction with GAN -- 6.3.2 3D Reconstruction Methods -- 6.4 Challenges of Deep Learning-Based Methods -- 6.4.1 Data Limitations -- 6.4.2 Training Obstacles -- 6.4.3 Result Reliability -- 6.5 Conclusion -- References -- 7 Fluorescent Materials for Super-Resolution Imaging 163 Zhigang Yang and Soham Samanta -- 7.1 Fluorescent Probes for Super-Resolution Imaging -- 7.2 Fluorescent Proteins -- 7.2.1 FPs for STED and RESOLFT Nanoscopy -- 7.2.2 FPs for SMLM-Based SRM -- 7.2.3 FPs for SIM and Other New SRM Techniques -- 7.3 Small-Molecule Fluorescent Probes -- 7.3.1 Organic Fluorescent Probes for STED -- 7.3.1.1 Rhodamine-Based Fluorescent Probes for STED Imaging -- 7.3.1.2 Diverse Fluorescent Probes for STED Imaging -- 7.3.1.3 Phosphole-Based Fluorescent Probes for STED Imaging -- 7.3.2 Organic Fluorescent Probes for SMLM -- 7.3.2.1 Xanthene/Rhodamine Dyes -- 7.3.2.2 Cyanine Dyes -- 7.3.2.3 BODIPY and Oxazine/Spiropyran Dyes -- 7.3.2.4 Other Dyes (2-dithienylethenes and Cicyanodihydrofurans) -- 7.3.3 Organic Fluorescent Probes for SIM -- 7.4 Fluorescent Metal Complexes for SRM -- 7.4.1 Fluorescent Metal Complexes for STED -- 7.4.2 Fluorescent Metal Complexes for SMLM -- 7.4.3 Fluorescent Metal Complexes for SIM -- 7.5 Fluorescent Nanomaterials (Nanoparticles/Quantum Dots/Carbon Nanotubes/Carbon Dots (CDs)/Polymers Dots) for SRM -- 7.5.1 Fluorescent Nanomaterials for STED -- 7.5.2 Organic Nanoparticles -- 7.5.3 Inorganic Nanoparticles -- 7.5.4 Fluorescent Nanomaterials for SMLM -- 7.5.5 Fluorescent Nanomaterials for SIM -- Acknowledgment -- References -- 8 Conclusion and Future Perspectives 229 Zhigang Yang, Soham Samanta, and Junle Qu -- Index.
Sprache:
Englisch
DOI:
10.1002/9783527835539
URL:
https://onlinelibrary.wiley.com/doi/book/10.1002/9783527835539
URL:
https://onlinelibrary.wiley.com/doi/book/10.1002/9783527835539
URL:
https://onlinelibrary.wiley.com/doi/book/10.1002/9783527835539
Bookmarklink
