Optical Imaging and Sensing Understand the future of optical imaging with this cutting-edge guide Optoelectronic devices for imaging and sensing are among the backbones of modern technology. Facilitating the mutual conversion of optical and electrical signals, they have applications from telecommunications to molecular spectroscopy, and their incorporation into photon-involved technologies is only growing. The rapid development of this field makes the need for a fully up-to-date introduction all the more critical. Optical Imaging and Sensing meets this need with a comprehensive guide to the novel materials and devices employed in optical imaging and sensing. Given the current revolution in new imaging materials, an introduction that fully incorporates the latest research is an indispensable tool for scientists and engineers in a huge range of fields. The technologies surveyed here promise to transform public security, 5G and next-generation wireless communication, clinical imaging, and many more. Optical Imaging and Sensing Readers will also find: Detailed discussion of materials including semimetallic graphene, semiconducting black phosphorous, and many more Discussion of devices from infrared photodetectors to nonlinear interferometers A thorough look forward to the future of the field Optical Imaging and Sensing is a useful reference for materials scientists, spectroscopists, semiconductor physicists, and engineers working in any field or industry involving optical imaging or sensing technology.

This book is a printed edition of the Special Issue "Optical Methods in Sensing and Imaging for Medical and Biological Applications" that was published in Sensors

This volume describes an impressive array of the current photonic-related technologies being used in the investigation of biological systems. The topics include various types of microscopy (fluorescence correlation microscopy, two-photon microscopy), sensitive detection of biological molecules, nano-surgery techniques, fluorescence resonance energy transfer, nano-plasmonics, terahertz spectroscopy, and photosynthetic energy conversion. The emphasis is on the physical principles behind each technique, and on examining the advantages and limitations of each.The book begins with an overview by Paras Prasad, a leader in the field of biophotonics, of several important optical techniques currently used for studying biological systems. In the subsequent chapters these techniques are discussed in depth, providing the reader with a detailed understanding of the basic physical principles at work. An excellent treatment of terahertz spectroscopy demonstrates how photonics is being extended beyond the visible region. Recent results in the use of femtosecond lasers as a tool to porate cell walls demonstrate that the manipulation of light can be used as a tool for the study and the treatment of biological systems. The field of Bio-photonics is broad and still growing, so cannot be covered comprehensively in one volume. But here the reader will find an introduction to some of the major tools used for studying biological systems, and at the same time a detailed, first-principles treatment of the physics behind these tools.

This dedicated overview of optical compressive imaging addresses implementation aspects of the revolutionary theory of compressive sensing (CS) in the field of optical imaging and sensing. It overviews the technological opportunities and challenges involved in optical design and implementation, from basic theory to optical architectures and systems for compressive imaging in various spectral regimes, spectral and hyperspectral imaging, polarimetric sensing, three-dimensional imaging, super-resolution imaging, lens-free, on-chip microscopy, and phase sensing and retrieval. The reader will gain a complete introduction to theory, experiment, and practical use for reducing hardware, shortening image scanning time, and improving image resolution as well as other performance parameters. Optics practitioners and optical system designers, electrical and optical engineers, mathematicians, and signal processing professionals will all find the book a unique trove of information and practical guidance. Delivers the first book on compressed sensing dealing with system development for a wide variety of optical imaging and sensing applications. Covers the fundamentals of CS theory, including noise and algorithms, as well as basic design approaches for data acquisition in optics. Addresses the challenges of implementing compressed sensing theory in the context of different optical imaging designs, from 3D imaging to tomography and microscopy. Provides an essential resource for the design of new and improved devices with improved image quality and shorter acquisition times. Adrian Stern, PhD, is associate professor and head of the Electro-Optical Engineering Unit at Ben-Gurion University of the Negev, Israel. He is an elected Fellow of SPIE.

Remote Sensing deals with the fundamental ideas underlying the rapidly growing field of remote sensing. John Schott explores energy-matter interaction, radiation propagation, data dissemination, and described the tools and procedures required to extract information from remotely sensed data using the image chain approach. Organizations and individuals often focus on one aspect of the remote sensing process before considering it as a whole, thus investigating unjustified effort, time, and expense to get minimal improvement. Unlike other books on the subject, Remote Sensing treats the process as a continuous flow. Schott examines the limitations obstructing the flow of information to the user, employing numerous applications of remote sensing to earth observation disciplines. For this second edition, in addition to a thorough update, there are major changes and additions, such as a much more complete treatment of spectroscopic imaging, which has matured dramatically in the last ten years, and a more rigorous treatment of image processing with an emphasis on spectral image processing algorithms. Remote Sensing is an ideal first text in remote sensing for advanced undergraduate and graduate students in the physical or engineering sciences, and will also serve as a valuable reference for practitioners.

Introduction to Satellite Remote Sensing: Atmosphere, Ocean and Land Applications is the first reference book to cover ocean applications, atmospheric applications, and land applications of remote sensing. Applications of remote sensing data are finding increasing application in fields as diverse as wildlife ecology and coastal recreation management. The technology engages electromagnetic sensors to measure and monitor changes in the earth's surface and atmosphere. The book opens with an introduction to the history of remote sensing, starting from when the phrase was first coined. It goes on to discuss the basic concepts of the various systems, including atmospheric and ocean, then closes with a detailed section on land applications. Due to the cross disciplinary nature of the authors' experience and the content covered, this is a must have reference book for all practitioners and students requiring an introduction to the field of remote sensing. - Provides study questions at the end of each chapter to aid learning - Covers all satellite remote sensing technologies, allowing readers to use the text as instructional material - Includes the most recent technologies and their applications, allowing the reader to stay up-to-date - Delves into laser sensing (LIDAR) and commercial satellites (DigitalGlobe) - Presents examples of specific satellite missions, including those in which new technology has been introduced

Diversos especialistas internacionales exponen las aplicaciones de sensores de fibra óptica en campos tan diversos como la ingeniería civil, energía nuclear, medio ambiente...

Table of Contents Reporter cells: - Yeast Based Sensors by Mifumi Shimomura-Shimizu and Isao Karube - Mammalian Cell-Based Sensor Systems by Pratik Banerjee, Briana Franz, and Arun K. Bhunia - Fluorescent and Bioluminescent Cell-Based Sensors: Strategies for Their Preservation by Amol Date, Patrizia Pasini, and Sylvia Daunert - Electrochemical Cell-Based Sensors by Eliora Z. Ron and Judith Rishpon - Microbial Cell Arrays by Tal Elad, Jin Hyung Lee, Man Bock Gu, and Shimshon Belkin Devices: - Surface Functionalization for Protein and Cell Patterning by Pascal Colpo , Ana Ruiz , Laura Ceriotti , and François Rossi - Fiber-Optic Based Cell Sensors by Evgeni Eltzov and Robert S. Marks - Electronic Interfacing with Living Cells by James T. Fleming - On-Chip Detection of Cellular Activity by R. Almog , R. Daniel , S. Vernick , A. Ron , H. Ben-Yoav, and Y. Shacham-Diamand

Continuing in the footsteps of the pioneering first edition, Signal and Image Processing for Remote Sensing, Second Edition explores the most up-to-date signal and image processing methods for dealing with remote sensing problems. Although most data from satellites are in image form, signal processing can contribute significantly in extracting info