Computational Methods for Three-Dimensional Microscopy Reconstruction

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Publisher : Springer Science & Business Media
ISBN 13 : 1461495210
Total Pages : 275 pages
Book Rating : 4.15/5 ( download)

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Book Synopsis Computational Methods for Three-Dimensional Microscopy Reconstruction by : Gabor T. Herman

Download or read book Computational Methods for Three-Dimensional Microscopy Reconstruction written by Gabor T. Herman and published by Springer Science & Business Media. This book was released on 2014-01-29 with total page 275 pages. Available in PDF, EPUB and Kindle. Book excerpt: Approaches to the recovery of three-dimensional information on a biological object, which are often formulated or implemented initially in an intuitive way, are concisely described here based on physical models of the object and the image-formation process. Both three-dimensional electron microscopy and X-ray tomography can be captured in the same mathematical framework, leading to closely-related computational approaches, but the methodologies differ in detail and hence pose different challenges. The editors of this volume, Gabor T. Herman and Joachim Frank, are experts in the respective methodologies and present research at the forefront of biological imaging and structural biology. Computational Methods for Three-Dimensional Microscopy Reconstruction will serve as a useful resource for scholars interested in the development of computational methods for structural biology and cell biology, particularly in the area of 3D imaging and modeling.

Three-dimensional Reconstruction Methods for Micro-rotation Fluorescence Microscopy

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Publisher :
ISBN 13 : 9789512297542
Total Pages : 59 pages
Book Rating : 4.4X/5 ( download)

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Book Synopsis Three-dimensional Reconstruction Methods for Micro-rotation Fluorescence Microscopy by : Danai Laksameethanasan

Download or read book Three-dimensional Reconstruction Methods for Micro-rotation Fluorescence Microscopy written by Danai Laksameethanasan and published by . This book was released on 2009 with total page 59 pages. Available in PDF, EPUB and Kindle. Book excerpt:

3D Reconstruction

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Publisher :
ISBN 13 : 9781629482651
Total Pages : 0 pages
Book Rating : 4.5X/5 ( download)

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Book Synopsis 3D Reconstruction by : Jim Ashworth

Download or read book 3D Reconstruction written by Jim Ashworth and published by . This book was released on 2014 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Three-dimensional (3D) reconstruction is the process of capturing the shape and appearance of real objects using computer vision and computer graphics. In this book, the authors present topical research in the study of the methods, applications and challenges of 3D reconstruction. Topics include 3D medical reconstruction and case studies; 3D reconstruction of coronary anatomy using invasive imaging modalities; recent advances in eel spectroscopic tomography; stereoscopic Schlieren/shadowgraph 3D reconstruction techniques; three-dimensional refractive index imaging of cells to study light scattering properties of cells and tissue; 3D imaging of material properties by combination of scanning probe microscope and ultramicrotome; 3D reconstruction and its application for maxillofacial surgery training; the automated systems of processing of the fragmented material at archaeological and craniology 3D reconstruction; three-dimensional reconstruction of an acinus for numerical and experimental studies; large scene reconstruction based on ToF cameras; and the structure and motion factorisation of non-rigid objects.

Computational Fluorescence Microscopy for Three Dimensional Reconstruction

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ISBN 13 :
Total Pages : pages
Book Rating : 4.16/5 ( download)

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Book Synopsis Computational Fluorescence Microscopy for Three Dimensional Reconstruction by : Hayato Ikoma

Download or read book Computational Fluorescence Microscopy for Three Dimensional Reconstruction written by Hayato Ikoma and published by . This book was released on 2021 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: With rapidly increasing computational power, computational fluorescence microscopy is advancing the frontier of biological imaging. Computational algorithms tailored for specific experimental settings are demanded to solve given tasks such as denoising, spectral unmixing, 3D localization and reconstruction, and ptychography. In this thesis, we present the reconstruction of dense and sparse three dimensional fluorescent volumes. In the first half, we present a volumetric reconstruction method designed for 3D fluorescence imaging of biological samples in the low-light regime. Our method deconvolves a captured focal stack through optimization. As deconvolution is an ill-posed problem, the uniqueness of the solution is imposed through regularization. We formulate the objective function as a sum of a data fidelity term and a regularization term, and minimize it using the alternating direction method of multipliers algorithm. The data fidelity is accurately evaluated with a negative log-likelihood function based on a mixed Poisson-Gaussian model of photon shot noise and camera read noise, which are both present in low-light imaging. Among several possible regularization strategies, we show that a Hessian-based regularizer is most effective for describing locally smooth features present in biological specimens. We demonstrate its performance for fixed and live cell imaging, showing its applicability as a tool for biological research. In the second half, we introduce a hybrid optical-electronic computing approach to three dimensional localization microscopy. Driven by artificial intelligence, this approach learns a set of depth-dependent point spread functions (PSFs) and a localization network jointly in an end-to-end fashion, co-designing an optical imaging system and a neural network. We also present a custom grayscale lithography process to fabricate freeform diffractive optical elements that optically implement the designed PSFs and outline several biological experiments with fixed and live cells that demonstrate the efficacy of the proposed computational microscopy approach.

Principles of Electron Optics, Volume 4

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Publisher : Academic Press
ISBN 13 : 0323916473
Total Pages : 665 pages
Book Rating : 4.79/5 ( download)

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Book Synopsis Principles of Electron Optics, Volume 4 by : Peter W. Hawkes

Download or read book Principles of Electron Optics, Volume 4 written by Peter W. Hawkes and published by Academic Press. This book was released on 2022-05-10 with total page 665 pages. Available in PDF, EPUB and Kindle. Book excerpt: Principles of Electron Optics: Second Edition, Advanced Wave Optics provides a self-contained, modern account of electron optical phenomena with the Dirac or Schrödinger equation as a starting point. Knowledge of this branch of the subject is essential to understanding electron propagation in electron microscopes, electron holography and coherence. Sections in this new release include, Electron Interactions in Thin Specimens, Digital Image Processing, Acquisition, Sampling and Coding, Enhancement, Linear Restoration, Nonlinear Restoration – the Phase Problem, Three-dimensional Reconstruction, Image Analysis, Instrument Control, Vortex Beams, The Quantum Electron Microscope, and much more. Includes authoritative coverage of many recent developments in wave electron optics Describes the interaction of electrons with solids and the information that can be obtained from electron-beam techniques Includes new content on multislice optics, 3D reconstruction, Wigner optics, vortex beams and the quantum electron microscope

The Radon Transform

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Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 3110560852
Total Pages : 347 pages
Book Rating : 4.55/5 ( download)

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Book Synopsis The Radon Transform by : Ronny Ramlau

Download or read book The Radon Transform written by Ronny Ramlau and published by Walter de Gruyter GmbH & Co KG. This book was released on 2019-06-17 with total page 347 pages. Available in PDF, EPUB and Kindle. Book excerpt: In 1917, Johann Radon published his fundamental work, where he introduced what is now called the Radon transform. Including important contributions by several experts, this book reports on ground-breaking developments related to the Radon transform throughout these years, and also discusses novel mathematical research topics and applications for the next century.

The Academic Job Search Handbook

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Publisher : University of Pennsylvania Press
ISBN 13 : 0812292065
Total Pages : 392 pages
Book Rating : 4.60/5 ( download)

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Book Synopsis The Academic Job Search Handbook by : Julia Miller Vick

Download or read book The Academic Job Search Handbook written by Julia Miller Vick and published by University of Pennsylvania Press. This book was released on 2016-02-22 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Academic Job Search Handbook is the comprehensive guide to finding a faculty position in any discipline. Building on the groundbreaking success and unique offerings of earlier volumes, the fifth edition presents insightful new content on aspects of the search at all stages. Beginning with an overview of academic careers and institutional structures, it moves step by step through the application process, from establishing relationships with advisors, positioning oneself in the market, learning about job openings, preparing CVs, cover letters, and other application materials, to negotiating offers. Of great value are the sixty new sample documents from a diverse spectrum of successful applicants. The handbook includes a search timetable, appendices of career resources, and a full sample application package. This fifth edition features new or updated sections on issues of current interest, such as job search concerns for pregnant or international candidates, the use of social media strategies to address CV gaps, and difficulties faced by dual-career couples. The chapter on alternatives to faculty jobs has been expanded and presents sample résumés of PhDs who found nonfaculty positions. For more than twenty years, The Academic Job Search Handbook has assisted job seekers in all academic disciplines in the search for faculty positions at different kinds of institutions from research-focused universities to community colleges. Current faculty who used the book themselves recommend it to their own students and postdocs. The many new first-person narratives provide insight into issues and situations candidates may encounter such as applying for an international job, combining parenting with an academic career, going from an administrative job to a faculty position, and seeking faculty positions as a same-sex couple.

Numerical Fourier Analysis

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Publisher : Springer Nature
ISBN 13 : 3031350057
Total Pages : 676 pages
Book Rating : 4.54/5 ( download)

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Book Synopsis Numerical Fourier Analysis by : Gerlind Plonka

Download or read book Numerical Fourier Analysis written by Gerlind Plonka and published by Springer Nature. This book was released on 2023-11-08 with total page 676 pages. Available in PDF, EPUB and Kindle. Book excerpt: New technological innovations and advances in research in areas such as spectroscopy, computer tomography, signal processing, and data analysis require a deep understanding of function approximation using Fourier methods. To address this growing need, this monograph combines mathematical theory and numerical algorithms to offer a unified and self-contained presentation of Fourier analysis. The first four chapters of the text serve as an introduction to classical Fourier analysis in the univariate and multivariate cases, including the discrete Fourier transforms, providing the necessary background for all further chapters. Next, chapters explore the construction and analysis of corresponding fast algorithms in the one- and multidimensional cases. The well-known fast Fourier transforms (FFTs) are discussed, as well as recent results on the construction of the nonequispaced FFTs, high-dimensional FFTs on special lattices, and sparse FFTs. An additional chapter is devoted to discrete trigonometric transforms and Chebyshev expansions. The final two chapters consider various applications of numerical Fourier methods for improved function approximation, including Prony methods for the recovery of structured functions. This new edition has been revised and updated throughout, featuring new material on a new Fourier approach to the ANOVA decomposition of high-dimensional trigonometric polynomials; new research results on the approximation errors of the nonequispaced fast Fourier transform based on special window functions; and the recently developed ESPIRA algorithm for recovery of exponential sums, among others. Numerical Fourier Analysis will be of interest to graduate students and researchers in applied mathematics, physics, computer science, engineering, and other areas where Fourier methods play an important role in applications.

Algorithmic and Artificial Intelligence Methods for Protein Bioinformatics

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Publisher : John Wiley & Sons
ISBN 13 : 1118567811
Total Pages : 534 pages
Book Rating : 4.14/5 ( download)

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Book Synopsis Algorithmic and Artificial Intelligence Methods for Protein Bioinformatics by : Yi Pan

Download or read book Algorithmic and Artificial Intelligence Methods for Protein Bioinformatics written by Yi Pan and published by John Wiley & Sons. This book was released on 2013-10-07 with total page 534 pages. Available in PDF, EPUB and Kindle. Book excerpt: Algorithmic and Artificial Intelligence Methods for Protein Bioinformatics An in-depth look at the latest research, methods, and applications in the field of protein bioinformatics This book presents the latest developments in protein bioinformatics, introducing for the first time cutting-edge research results alongside novel algorithmic and AI methods for the analysis of protein data. In one complete, self-contained volume, Algorithmic and Artificial Intelligence Methods for Protein Bioinformatics addresses key challenges facing both computer scientists and biologists, arming readers with tools and techniques for analyzing and interpreting protein data and solving a variety of biological problems. Featuring a collection of authoritative articles by leaders in the field, this work focuses on the analysis of protein sequences, structures, and interaction networks using both traditional algorithms and AI methods. It also examines, in great detail, data preparation, simulation, experiments, evaluation methods, and applications. Algorithmic and Artificial Intelligence Methods for Protein Bioinformatics: Highlights protein analysis applications such as protein-related drug activity comparison Incorporates salient case studies illustrating how to apply the methods outlined in the book Tackles the complex relationship between proteins from a systems biology point of view Relates the topic to other emerging technologies such as data mining and visualization Includes many tables and illustrations demonstrating concepts and performance figures Algorithmic and Artificial Intelligence Methods for Protein Bioinformatics is an essential reference for bioinformatics specialists in research and industry, and for anyone wishing to better understand the rich field of protein bioinformatics.

Data Science

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Publisher : Springer
ISBN 13 : 9811322031
Total Pages : 781 pages
Book Rating : 4.37/5 ( download)

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Book Synopsis Data Science by : Qinglei Zhou

Download or read book Data Science written by Qinglei Zhou and published by Springer. This book was released on 2018-09-10 with total page 781 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two volume set (CCIS 901 and 902) constitutes the refereed proceedings of the 4th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2018 (originally ICYCSEE) held in Zhengzhou, China, in September 2018. The 125 revised full papers presented in these two volumes were carefully reviewed and selected from 1057 submissions. The papers cover a wide range of topics related to basic theory and techniques for data science including mathematical issues in data science, computational theory for data science, big data management and applications, data quality and data preparation, evaluation and measurement in data science, data visualization, big data mining and knowledge management, infrastructure for data science, machine learning for data science, data security and privacy, applications of data science, case study of data science, multimedia data management and analysis, data-driven scientific research, data-driven bioinformatics, data-driven healthcare, data-driven management, data-driven eGovernment, data-driven smart city/planet, data marketing and economics, social media and recommendation systems, data-driven security, data-driven business model innovation, social and/or organizational impacts of data science.