Photonic Imaging for Biology

Name: Photonic Imaging for Biology | From Conventional Microscopy to Super-Resolution
Brand: Wiley
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From Conventional Microscopy to Super-Resolution

Jean-Baptiste Sibarita(Herausgeber*in)

Wiley (Verlag)

1. Auflage

Erschienen am 7. Oktober 2025

257 Seiten

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978-1-394-41787-2 (ISBN)

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Inhalt

Cover
Title Page
Copyright Page
Contents
Untitled
Preface
Chapter 1. Principles of Light Microscopy
1.1. Introduction
1.2. Principle of image formation
1.2.1. Geometric approach
1.2.2. Wave approach
1.2.3. Image formation under coherent light
1.2.4. Microscope resolution (diffraction-limited)
1.2.5. Abbe's theory of image formation
1.3. Optical sectioning techniques in fluorescence microscopy
1.3.1. Wide-field techniques
1.3.2. Point-scanning techniques
1.4. Conclusion
1.5. References
Chapter 2. Contrast-based Label-Free Imaging and Phase Measurement
2.1. Introduction, the biological object as an index object
2.2. Zernike phase contrast
2.2.1. Practical application and limitations
2.3. Differential interference contrast
2.3.1. Practical application and limitations
2.4. Other contrast methods with transparent objects
2.5. Measuring phase quantitatively: more than just contrast
2.6. Conclusions
2.7. References
Chapter 3. Fluorophores and Labeling Methods for Fluorescence Microscopy
3.1. Introduction
3.2. Basics of fluorophore photophysics
3.3. Fluorescent proteins
3.4. Organic dyes
3.5. Conclusion
3.6. References
Chapter 4. Quantitative FRAP and FCS
4.1. Life is motion
4.2. FRAP
4.2.1. Basics of FRAP
4.2.2. Quantitative principles of single spot FRAP
4.2.3. Analytical expression for principal origins of fluorescence recoveries
4.2.4. Variable radii FRAP
4.2.5. Quantitative imaging FRAP
4.2.6. Fluorescence loss in photobleaching
4.2.7. Photoactivation/photoconversion
4.3. FCS
4.3.1. Basic principle of correlation spectroscopy
4.3.2. Mathematics of FCS
4.3.3. Analytical expression for different origins of concentration fluctuations
4.3.4. Space and time correlation spectroscopy
4.4. Conclusion
4.5. References
Chapter 5. Single-Particle Tracking for Nanoscale Dynamics of Biological Samples
5.1. Introduction
5.2. Nanoscale localization
5.3.Trajectory reconstruction
5.4. Nanoscale dynamics
5.4.1. Basic properties of Brownian motion
5.4.2. Quantification of experimental trajectories
5.4.3. Time-variable diffusion
5.4.4. Beyond Brownian motion: anomalous diffusion
5.5. References
Chapter 6. In Depth Microscopy
6.1. Introduction
6.2. Confocal microscopy
6.2.1. Principle
6.2.2. Spinning disk confocal microscopy
6.2.3. Limitations
6.2.4. Photon reassignment approaches - the new confocal systems
6.3. Multi-photon microscopy
6.3.1. Principle
6.3.2. Laser-scanning multi-photon microscopy optical setup
6.3.3. Widefield multi-photon microscopy by temporal focusing
6.4. Light-sheet fluorescence microscopy
6.4.1. Principles and advantages
6.4.2. Light-sheet creation and properties
6.4.3. Main implementation overview
6.5. Computational-based methods
6.6. Futures challenges for 3D imaging of complex samples
6.6.1. Optical aberrations
6.6.2. Fast 3D imaging methods
6.6.3. Data management, analysis and visualization
6.7. References
Chapter 7. Structured Illumination Microscopy
7.1. Introduction
7.2. The principle of structured illumination microscopy
7.2.1. Prerequisites: the Moiré effect
7.2.2. Structured illumination to exceed the diffraction limit in fluorescence microscopy
7.3. Reconstructing the 2D SIM image
7.4. Experimental implementation of the 2D SIM
7.4.1.The setup: how to illuminate the sample with a sine pattern?
7.4.2. A resolution gain limited to a factor of 2
7.4.3. Optical sectioning for 2D SIM: application to biological imaging
7.5. 3D SIM
7.6. Saturated SIM, or SSIM: a resolution gain above a factor of 2
7.7. Conclusion and perspective
7.8. References
Chapter 8. STED Imaging of Neuronal Morphology
8.1. Introduction
8.2. Principle
8.3. Instrumentation of STED
8.3.1. Labeling and optimization of STED
8.4. New developments
8.4.1. Adaptive optics for 3D-STED microscopy
8.4.2. Super-resolution shadow imaging (SUSHI)
8.4.3. Correlative imaging with STED and SMLM
8.5. Summary and outlook
8.6. References
Chapter 9. Single-Molecule Localization Microscopy: From Imaging Cellular Structures to Quantitative Image Analysis
9.1. Introduction
9.2. Concepts for single-molecule localization microscopy
9.3. Multiplexing
9.4. Extracting quantitative information from SMLM data
9.5. Conclusion
9.6. Acknowledgments
9.7. References
Chapter 10. Image Processing and Image Analysis in Microscopy
10.1. Introduction
10.2. Context
10.2.1. Multidimensional images
10.2.2. Major challenges in bioimaging
10.2.3. Software for bioimaging
10.2.4. Image analysis pipeline
10.3. Biomage processing
10.3.1. Core processings
10.3.2. Denoising of microscopy images
10.3.3. Deconvolution of microscopy images
10.3.4. Image registration
10.4. Bioimage analysis
10.4.1. Feature and object detection
10.4.2. Segmentation
10.4.3. Image classification
10.4.4. Tracking of biological objects
10.5. Discussion
10.6. References
List of Authors
Index
EULA

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