Deep Learning Optics For Computational Microscopy And Diffractive Computing
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Deep Learning Optics For Computational Microscopy And Diffractive Computing
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Author : Bijie Bai
language : en
Publisher:
Release Date : 2023
Deep Learning Optics For Computational Microscopy And Diffractive Computing written by Bijie Bai and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023 with categories.
The rapid development of machine learning has transformed conventional optical imaging processes, setting new benchmarks in computational imaging tasks. In this dissertation, we delve into the transformative impact of recent advancements in machine learning on optical imaging processes, focusing on how these technologies revolutionize computational imaging tasks. Specifically, this dissertation centers on two major topics: deep learning-enabled computational microscopy and the all-optical diffractive networks. Optical microscopy has long served as the benchmark technique for diagnosing various diseases over centuries. However, its reliance on high-end optical components and accessories, necessary to adapt to various imaging samples and conditions, often limits its applicability and throughput. Recent advancements in computational imaging techniques utilizing deep learning methods have transformed conventional microscopic imaging modalities, delivering both enhanced speed and superior image quality without introducing extra complexity of the optical systems. In the first topic of this dissertation, we demonstrate that deep learning-enabled image translation approach can significantly benefit a wide range of applications for microscopic imaging. We start with introducing a customized system for single-shot quantitative polarization imaging, capable of reconstructing comprehensive birefringent maps from a single image capture, which offers enhanced sensitivity and specificity in diagnosing crystal-induced diseases. Utilizing these quantitative birefringent maps as a baseline, we employ deep learning tools to convert phase-recovered holograms into quantitative birefringence maps, thereby improving the throughput of crystal detection with simplified system complexity. Extending this concept of deep learning-enabled image translation, we also explore its applications in histopathology. Our technique, termed as "virtual histological staining", transforms unstained biological samples into visually rich, stained-like images without the need for chemical agents. This innovation minimizes costs, labor, and diagnostic delays as well as opens up new possibilities in histopathology workflow. The evolution of deep learning tools not only facilities the optical image analysis and processing, but also provides guidance in design and enhancement of optical systems. The second topic of this dissertation is the development and application of diffractive deep neural networks (D2NN). Developed with deep learning, D2NNs execute given computational tasks by manipulating light diffraction through a series of engineered surfaces, which is completed at the speed of light propagation with negligible power consumption. Based on this framework, a lot of novel computational tasks can be executed in an all-optical way, which is beyond the capabilities of the traditional optics design approaches. We introduce several all-optical computational imaging applications based on D2NN, including class-specific imaging, class-specific image encryption, and unidirectional image magnification and demagnification, demonstrating the versatility of this promising framework.
Digital Holography Applications And Emerging Technologies
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Author : Peter Wai Ming Tsang
language : en
Publisher: Frontiers Media SA
Release Date : 2023-07-13
Digital Holography Applications And Emerging Technologies written by Peter Wai Ming Tsang and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-13 with Science categories.
With the rapid growth of computing and display technologies, digital holography (DH) has undergone significant advancement in the past two decades. Contemporary research works have enabled holography, a technology which is originally intended for displaying three-dimensional (3-D) images, to be deployed in numerous scientific, engineering, and bio-medical applications. Notably, digital holography has been incorporated into quite a number of contemporary applications, such as, but limited to holographic cryptography, optical metrology, remote sensing and inspection, and more recently, quantum computing. The success attained with DH so far does not limit its development to its current state-of-the-art, but rather research on holography keeps on expanding, with new ideas and methods keep coming up in a sustainable manner. This Research Topic aims to collect representative works from experts in the field, with the aim of providing an insight on the overall picture on digital holography, as well as reporting existing methodologies and emerging technologies that are likely to have strong impact on future research directions. Participating in the Research Topic, either as authors or readers, also facilitates establishing a platform for researchers to network, and to share their knowledge.
Artificial Intelligence For Data Driven Medical Diagnosis
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Author : Deepak Gupta
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2021-02-08
Artificial Intelligence For Data Driven Medical Diagnosis written by Deepak Gupta and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-08 with Computers categories.
This book collects research works of data-driven medical diagnosis done via Artificial Intelligence based solutions, such as Machine Learning, Deep Learning and Intelligent Optimization. Physical devices powered with Artificial Intelligence are gaining importance in diagnosis and healthcare. Medical data from different sources can also be analyzed via Artificial Intelligence techniques for more effective results.
Computer Vision Eccv 2024
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Author : Aleš Leonardis
language : en
Publisher: Springer Nature
Release Date : 2024-12-01
Computer Vision Eccv 2024 written by Aleš Leonardis and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-01 with Computers categories.
The multi-volume set of LNCS books with volume numbers 15059 upto 15147 constitutes the refereed proceedings of the 18th European Conference on Computer Vision, ECCV 2024, held in Milan, Italy, during September 29–October 4, 2024. The 2387 papers presented in these proceedings were carefully reviewed and selected from a total of 8585 submissions. They deal with topics such as Computer vision, Machine learning, Deep neural networks, Reinforcement learning, Object recognition, Image classification, Image processing, Object detection, Semantic segmentation, Human pose estimation, 3D reconstruction, Stereo vision, Computational photography, Neural networks, Image coding, Image reconstruction and Motion estimation.
Optical Microscopic And Spectroscopic Techniques Targeting Biological Applications
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Author : Vicente Micó
language : en
Publisher: Frontiers Media SA
Release Date : 2021-10-22
Optical Microscopic And Spectroscopic Techniques Targeting Biological Applications written by Vicente Micó and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-22 with Science categories.
Computer Holography
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Author : Tomoyoshi Shimobaba
language : en
Publisher: CRC Press
Release Date : 2019-01-30
Computer Holography written by Tomoyoshi Shimobaba and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-01-30 with Technology & Engineering categories.
This book describes algorithms and hardware implementations of computer holography, especially in terms of fast calculation. It summarizes the basics of holography and computer holography and describes how conventional diffraction calculations play a central role. Numerical implementations by actual codes will also be discussed. This book will explain new fast diffraction calculations, such as scaled scalar diffraction. Computer Holography will also explain acceleration algorithms for computer-generated hologram (CGH) generation and digital holography with 3D objects composed of point clouds, using look-up table- (LUT) based algorithms, and a wave front recording plane. 3D objects composed of polygons using tilted plane diffraction, expressed by multi-view images and RGB-D images, will be explained in this book. Digital holography, including inline, off-axis, Gabor digital holography, and phase shift digital holography, will also be explored. This book introduces applications of computer holography, including phase retrieval algorithm, holographic memory, holographic projection, and deep learning in computer holography, while explaining hardware implementations for computer holography. Recently, several parallel processors have been released (for example, multi-core CPU, GPU, Xeon Phi, and FPGA). Readers will learn how to apply algorithms to these processors. Features Provides an introduction of the basics of holography and computer holography Summarizes the latest advancements in computer-generated holograms Showcases the latest researchers of digital holography Discusses fast CGH algorithms and diffraction calculations, and their actual codes Includes hardware implementation for computer holography, and its actual codes and quasi-codes
Advances In Imaging And Electron Physics
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Author :
language : en
Publisher: Academic Press
Release Date : 2025-04-26
Advances In Imaging And Electron Physics written by and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-26 with Technology & Engineering categories.
Advances in Imaging and Electron Physics, Volume 234 merges two long-running serials, Advances in Electronics and Electron Physics and Advances in Optical and Electron Microscopy. Chapters in this new release cover Unified formalism of light beam optics and light polarization, Relativistic Theory and Calculation of Electrostatic Focusing Systems, A Nonlinear Representation Theory of Equivariant Deep Learning Using Group Morphology, and Artificial Intelligence and Deep Learning in Electron Microscopy. - Provides the authority and expertise of leading contributors from an international board of authors - Presents the latest release in the Advances in Imaging and Electron Physics series - Merges two long-running serials, Advances in Electronics and Electron Physics and Advances in Optical and Electron Microscopy
Japanese Journal Of Applied Physics
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Author :
language : en
Publisher:
Release Date : 2006
Japanese Journal Of Applied Physics written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with Physics categories.
Optics Education
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Author :
language : en
Publisher:
Release Date : 2000
Optics Education written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with Optics categories.
Journal Of The Optical Society Of America
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Author :
language : en
Publisher:
Release Date : 1999
Journal Of The Optical Society Of America written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999 with Imaging systems categories.