Super-resolution Imaging Technology

Super-resolution imaging (SR) is a class of techniques that enhance the resolution of an imaging system. In some SR techniques—termed optical SR—the diffraction limit of systems is transcended, while in others—geometrical SR—the resolution of digital imaging sensors is enhanced. Super-resolution imaging techniques are used in general image processing and in super-resolution microscopy. There are both single-frame and multiple-frame variants of SR. Multiple-frame SR uses the sub-pixel shifts between multiple low resolution images of the same scene. It creates an improved resolution image fusing information from all low resolution images, and the created higher resolution images are better descriptions of the scene. Single-frame SR methods attempt to magnify the image without introducing blur. These methods use other parts of the low resolution images, or other unrelated images, to guess what the high-resolution image should look like.

 

In the present book, fifteen typical literatures about super-resolution imaging technology published on international authoritative journals were selected to introduce the worldwide newest progress, which contains reviews or original researches on image processing, optic technology, medical science, microscopy, ect. We hope this book can demonstrate advances in super-resolution imaging technology as well as give references to the researchers, students and other related people.

Components of the Book:
  • Chapter 1
    Metamaterials and Imaging
  • Chapter 2
    CellProfiler: Novel Automated Image Segmentation Procedure for Super-Resolution Microscopy
  • Chapter 3
    A Hydrophilic Gel Matrix for Single-Molecule Super-Resolution Microscopy
  • Chapter 4
    Integrating Super Resolution Mapping and SEBS Modeling for Evapotranspiration Mapping at the Field Scale
  • Chapter 5
    Super-Resolution Microscopy Reveals γ- Secretase at Both Sides of the Neuronal Synapse
  • Chapter 6
    Multiframe Adaptive Wiener Filter Super-Resolution with JPEG2000-Compressed Images
  • Chapter 7
    Detailed Morphological Characterisation of Hendra Virus Infection of Different Cell Types Using Super-Resolution and Conventional Imaging
  • Chapter 8
    Light-Sheet Bayesian Microscopy Enables Deepcell Super-Resolution Imaging of Heterochromatin in Live Human Embryonic Stem Cells
  • Chapter 9
    Super-Resolution Imaging with Pontamine Fast Scarlet 4BS Enables Direct Visualization of Cellulose Orientation and Cell Connection Architecture in Onion Epidermis Cells
  • Chapter 10
    Three-Dimensional Super-Resolution Microscopy of the Inactive X Chromosome Territory Reveals a Collapse of Its Active Nuclear Compartment Harboring Distinct Xist RNA Foci
  • Chapter 11
    Visualizing the Replicating HSV-1 Virus Using STED Super-Resolution Microscopy
  • Chapter 12
    Resolving the Spatial Relationship between Intracellular Components by Dual Color Super Resolution Optical Fluctuations Imaging (SOFI)
Readership: Students, academics, teachers and other people attending or interested in Super-resolution Imaging Technology.
Kareem Soliman
Department of Pediatrics and Adolescent Medicine, University Medical Center, University of G?ttingen, G?ttingen, Germany

Milad Mahour
Faculty of Geo-information Science and Earth Observation (ITC), University of Twente, Enschede, The Netherlands

Sophia Schedin-Weiss
Department NVS, Center for Alzheimer Research, Division of Neurogeriatrics, Karolinska Institutet, Huddinge, Sweden

Barath Narayanan Narayanan
Department of Electrical and Computer Engineering, University of Dayton, Dayton, Ohio, USA

Johannes Liesche
Department of Plant and Environmental Sciences, University of Copenhagen, Thorvaldsensvej, Frederiksberg, Denmark

Daniel Smeets
Departmentof Biochemistry, University of Oxford, Oxford, UK

and more...
This Book

339pp. Published June 2016

Scientific Research Publishing, Inc.,USA

Category:Computer Science & Communications

ISBN: 978-1-61896-236-2

(Hardcover) USD 109.00

ISBN: 978-1-61896-235-5

(Paperback) USD 89.00

Authors/Editors Price: 40% off
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