• Login
    View Item 
    •   Home
    • The Christie Research Publications Repository
    • All Christie Publications
    • View Item
    •   Home
    • The Christie Research Publications Repository
    • All Christie Publications
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of ChristieCommunitiesTitleAuthorsIssue DateSubmit DateSubjectsThis CollectionTitleAuthorsIssue DateSubmit DateSubjectsProfilesView

    My Account

    LoginRegister

    Local Links

    The Christie WebsiteChristie Library and Knowledge Service

    Statistics

    Display statistics

    Geometrical structures for radiation biology research as implemented in the TOPAS-nBio toolkit.

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Thumbnail
    Name:
    560702.pdf
    Size:
    11.74Mb
    Format:
    PDF
    Description:
    From UNPAYWALL
    Download
    Authors
    McNamara, A
    Ramos-Méndez, J
    Perl, J
    Held, K
    Dominguez, N
    Moreno, E
    Henthorn, N
    Kirkby, Karen J
    Meylan, S
    Villagrasa, C
    Incerti, S
    Faddegon, B
    Paganetti, H
    Schuemann, J
    Show allShow less
    Affiliation
    Department of Radiation Oncology, Massachusetts General Hospital, Harvard Medical School, 30 Fruit St, Boston, MA 02114
    Issue Date
    2018-09-06
    
    Metadata
    Show full item record
    Abstract
    Computational simulations, such as Monte Carlo track structure simulations, offer a powerful tool for quantitatively investigating radiation interactions within cells. The modelling of the spatial distribution of energy deposition events as well as diffusion of chemical free radical species, within realistic biological geometries, can help provide a comprehensive understanding of the effects of radiation on cells. Track structure simulations, however, generally require advanced computing skills to implement. The TOPAS-nBio toolkit, an extension to TOPAS (TOol for PArticle Simulation), aims to provide users with a comprehensive framework for radiobiology simulations, without the need for advanced computing skills. This includes providing users with an extensive library of advanced, realistic, biological geometries ranging from the micrometer scale (e.g. cells and organelles) down to the nanometer scale (e.g. DNA molecules and proteins). Here we present the geometries available in TOPAS-nBio.
    Citation
    Geometrical structures for radiation biology research as implemented in the TOPAS-nBio toolkit. 2018, 63(17): 175018 Phys Med Biol
    Journal
    Physics in Medicine and Biology
    URI
    http://hdl.handle.net/10541/621300
    DOI
    10.1088/1361-6560/aad8eb
    PubMed ID
    30088810
    Type
    Article
    Language
    en
    ISSN
    1361-6560
    ae974a485f413a2113503eed53cd6c53
    10.1088/1361-6560/aad8eb
    Scopus Count
    Collections
    All Christie Publications

    entitlement

    Related articles

    • TOPAS-nBio: An Extension to the TOPAS Simulation Toolkit for Cellular and Sub-cellular Radiobiology.
    • Authors: Schuemann J, McNamara AL, Ramos-Méndez J, Perl J, Held KD, Paganetti H, Incerti S, Faddegon B
    • Issue date: 2019 Feb
    • Validation of the radiobiology toolkit TOPAS-nBio in simple DNA geometries.
    • Authors: McNamara A, Geng C, Turner R, Mendez JR, Perl J, Held K, Faddegon B, Paganetti H, Schuemann J
    • Issue date: 2017 Jan
    • Monte Carlo simulation of chemistry following radiolysis with TOPAS-nBio.
    • Authors: Ramos-Méndez J, Perl J, Schuemann J, McNamara A, Paganetti H, Faddegon B
    • Issue date: 2018 May 17
    • Investigating the feasibility of TOPAS-nBio for Monte Carlo track structure simulations by adapting GEANT4-DNA examples application.
    • Authors: Derksen L, Pfuhl T, Engenhart-Cabillic R, Zink K, Baumann KS
    • Issue date: 2021 Aug 31
    • SU-E-T-475: Nano-Dosimetric Track Structure Scoring including Biological Modeling with TOPAS-NBio.
    • Authors: Schuemann J
    • Issue date: 2012 Jun
    DSpace software (copyright © 2002 - 2025)  DuraSpace
    Quick Guide | Contact Us
    Open Repository is a service operated by 
    Atmire NV
     

    Export search results

    The export option will allow you to export the current search results of the entered query to a file. Different formats are available for download. To export the items, click on the button corresponding with the preferred download format.

    By default, clicking on the export buttons will result in a download of the allowed maximum amount of items.

    To select a subset of the search results, click "Selective Export" button and make a selection of the items you want to export. The amount of items that can be exported at once is similarly restricted as the full export.

    After making a selection, click one of the export format buttons. The amount of items that will be exported is indicated in the bubble next to export format.