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Segmentation and Structure Determination in Electron Microscopy

Title: Segmentation and Structure Determination in Electron Microscopy.
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Inaccessible until Sep 27, 2020 due to copyright restrictions.

Name(s): Banerjee Mukherjee, Chaity, author
Liu, Xiuwen, 1966-, professor co-directing dissertation
Taylor, Kenneth A., professor co-directing dissertation
Barbu, Adrian G., 1971-, university representative
Kumar, Piyush, committee member
Tyson, Gary Scott, committee member
Florida State University, degree granting institution
College of Arts and Sciences, degree granting college
Department of Computer Science, degree granting department
Type of Resource: text
Genre: Text
Doctoral Thesis
Issuance: monographic
Date Issued: 2017
Publisher: Florida State University
Place of Publication: Tallahassee, Florida
Physical Form: computer
online resource
Extent: 1 online resource (164 pages)
Language(s): English
Abstract/Description: One of the goals of biology is to be able to understand the structure and interaction of macromolecules, to be able to better understand life at a macromolecular level. One of the most important inventions that revolutionized the study of macromolecular structures is that of the electron microscope. Electron microscopes are used for studying three dimensional structures of macromolecular assemblies using 2D and 3D geometry. The underlying principle of 3D reconstruction from 2D projections is well understood and forms the basis of electron microscopy. Depending on the type of structure under investigation, either electron tomography is used where the structures are heterogeneous or in case that they are homogeneous single particle electron microscopy is used. Whatever be the underlying source of the data, tomography or single particle, they involve significant amounts of computational problems. Many of these problems have been studied in other branches of computer science, like in computer vision and machine learning. However, until very recently, there has not been a significant exchange of ideas between these two disparate communities. This work is a step in that direction. We study two problems: the first related to the well-studied problem of segmentation but in the context of electron tomography. The second relates to that of studying the macromolecular structure of actin-myosin interaction using 3D reconstruction of single particle electron microscopic data. We hope that this would be the beginning of a formal interaction between the two fields that has the potential to enrich each other tremendously.
Identifier: FSU_FALL2017_BanerjeeMukherjee_fsu_0071E_14065 (IID)
Submitted Note: A Dissertation submitted to the Department of Computer Science in partial fulfillment of the requirements for the degree of Doctor of Philosophy.
Degree Awarded: Summer Semester 2017.
Date of Defense: July 28, 2017.
Bibliography Note: Includes bibliographical references.
Advisory Committee: Xiuwen Liu, Professor Co-Directing Dissertation; Kenneth A. Taylor, Professor Co-Directing Dissertation; Adrian Barbu, University Representative; Piyush Kumar, Committee Member; Gary Tyson, Committee Member.
Subject(s): Computer science
Persistent Link to This Record: http://purl.flvc.org/fsu/fd/FSU_FALL2017_BanerjeeMukherjee_fsu_0071E_14065
Owner Institution: FSU

Choose the citation style.
Banerjee Mukherjee, C. (2017). Segmentation and Structure Determination in Electron Microscopy. Retrieved from http://purl.flvc.org/fsu/fd/FSU_FALL2017_BanerjeeMukherjee_fsu_0071E_14065