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Computational Methods For Three Dimensional Microscopy Reconstruction


Computational Methods For Three Dimensional Microscopy Reconstruction
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Computational Methods For Three Dimensional Microscopy Reconstruction


Computational Methods For Three Dimensional Microscopy Reconstruction
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Author : Gabor T. Herman
language : en
Publisher: Springer Science & Business Media
Release Date : 2014-01-29

Computational Methods For Three Dimensional Microscopy Reconstruction written by Gabor T. Herman and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-01-29 with Mathematics categories.


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.



Computational Fluorescence Microscopy For Three Dimensional Reconstruction


Computational Fluorescence Microscopy For Three Dimensional Reconstruction
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Author : Hayato Ikoma
language : en
Publisher:
Release Date : 2021

Computational Fluorescence Microscopy For Three Dimensional Reconstruction written by Hayato Ikoma and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with categories.


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.



3d Reconstruction


3d Reconstruction
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Author : Jim Ashworth
language : en
Publisher:
Release Date : 2014

3d Reconstruction written by Jim Ashworth and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with Diagnostic imaging categories.


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.



Three Dimensional Reconstruction Methods For Micro Rotation Fluorescence Microscopy


Three Dimensional Reconstruction Methods For Micro Rotation Fluorescence Microscopy
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Author : Danai Laksameethanasan
language : en
Publisher:
Release Date : 2009

Three Dimensional Reconstruction Methods For Micro Rotation Fluorescence Microscopy written by Danai Laksameethanasan and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with categories.




Visualization In Biomedical Microscopies


Visualization In Biomedical Microscopies
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Author : Andres Kriete
language : en
Publisher:
Release Date : 1992

Visualization In Biomedical Microscopies written by Andres Kriete and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with Amsterdam, Netherlands categories.




Development Of Novel Experimental And Computational Methods For Three Dimensional Coherent And Super Resolution Microscopy


Development Of Novel Experimental And Computational Methods For Three Dimensional Coherent And Super Resolution Microscopy
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Author : Adrien Charles-François Raymond Descloux
language : en
Publisher:
Release Date : 2020

Development Of Novel Experimental And Computational Methods For Three Dimensional Coherent And Super Resolution Microscopy written by Adrien Charles-François Raymond Descloux and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with categories.


Mots-clés de l'auteur: microscopy ; quantitative phase ; super-resolution ; SOFI ; SIM ; multi-color imaging ; SOFI-SIM ; resolution estimation ; optical DNA mapping ; deep neural network.



Contribution To Three Dimensional Fluorescence Microscopy Imaging Using Wavefront Encoding And Structured Illumination


Contribution To Three Dimensional Fluorescence Microscopy Imaging Using Wavefront Encoding And Structured Illumination
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Author : Nurmohammed Patwary
language : en
Publisher:
Release Date : 2017

Contribution To Three Dimensional Fluorescence Microscopy Imaging Using Wavefront Encoding And Structured Illumination written by Nurmohammed Patwary and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with categories.


Three-dimensional (3D) fluorescence microscopy (FM) is an integral part of biomedical research as it provides the necessary tool to investigate the interaction between the biomolecules in multiple dimensions (i.e. spatial, spectral, and temporal). This dissertation contributes toward two special types of FM: (i) computational optical sectioning microscopy (COSM), in which computational methods are used to improve the performance of the conventional imaging system, and (ii) structured illumination microscopy (SIM), which is used to increase the resolution of the optical microscope beyond the diffraction limit. A simplifying assumption of COSM is that the point spread function (PSF) does not change throughout the imaging volume; however, this assumption is not valid for optically thick samples (>5 µm), if the refractive index (RI) between the sample-mounting medium and the microscope objective (MO) lens’ immersion medium is different. Such cases require the use of computationally intensive depth-variant (DV) image restoration methods to avoid artifacts. To overcome this challenge, a wavefront encoded imaging system is developed, where we have demonstrated through simulation and experiment that a PSF does not change significantly up to a 60-µm imaging depth, which consequently improves the computational efficiency while restoring optically thick samples. Another contribution of this dissertation is investigating the impact of SA on SIM and the use of wavefront encoding to reduce the effect of SA on the SIM system. Data from the proof-of-concept setup was acquired and compared to the simulation to validate the implementations. Preliminary results demonstrate challenges that need to overcome, in order to be able to assess the impact of this approach on addressing SA satisfactorily. As an alternative approach, an image restoration method is developed and evaluated to improve the performance of SIM when the fringe visibility of the structured light is low, a condition that occurs when the sample is optically thick and/or the modulation frequency is high. Restoration results from simulated and experimental SIM raw images show improved signal to noise ratio (SNR) and adequate optical sectioning in 3D images, in which more details of fine structures are evident compared to results obtained with two existing computational methods.



Analysis And Processing Of Dark Field Electron Micrographs For Three Dimensional Reconstruction


Analysis And Processing Of Dark Field Electron Micrographs For Three Dimensional Reconstruction
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Author : Neil Alexander Farrow
language : en
Publisher:
Release Date : 1992

Analysis And Processing Of Dark Field Electron Micrographs For Three Dimensional Reconstruction written by Neil Alexander Farrow and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with categories.




Three Dimensional Reconstruction In Biology


Three Dimensional Reconstruction In Biology
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Author : P. N. Gaunt
language : en
Publisher:
Release Date : 1978

Three Dimensional Reconstruction In Biology written by P. N. Gaunt and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1978 with Biological models categories.




Fundamentals Of Computerized Tomography


Fundamentals Of Computerized Tomography
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Author : Gabor T. Herman
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-07-14

Fundamentals Of Computerized Tomography written by Gabor T. Herman and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-07-14 with Computers categories.


This revised and updated second edition – now with two new chapters - is the only book to give a comprehensive overview of computer algorithms for image reconstruction. It covers the fundamentals of computerized tomography, including all the computational and mathematical procedures underlying data collection, image reconstruction and image display. Among the new topics covered are: spiral CT, fully 3D positron emission tomography, the linogram mode of backprojection, and state of the art 3D imaging results. It also includes two new chapters on comparative statistical evaluation of the 2D reconstruction algorithms and alternative approaches to image reconstruction.