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MCCL: an open-source software application for Monte Carlo simulations of radiative transport
The Monte Carlo Command Line application (MCCL) is an open-source software package that provides Monte Carlo simulations of radiative transport through heterogeneous turbid media. MCCL is available on GitHub through our virtualphotonics.org website, is actively supported, and carries extensive docum...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Society of Photo-Optical Instrumentation Engineers
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9005200/ https://www.ncbi.nlm.nih.gov/pubmed/35415991 http://dx.doi.org/10.1117/1.JBO.27.8.083005 |
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author | Hayakawa, Carole K. Malenfant, Lisa Ranasinghesagara, Janaka Cuccia, David J. Spanier, Jerome Venugopalan, Vasan |
author_facet | Hayakawa, Carole K. Malenfant, Lisa Ranasinghesagara, Janaka Cuccia, David J. Spanier, Jerome Venugopalan, Vasan |
author_sort | Hayakawa, Carole K. |
collection | PubMed |
description | The Monte Carlo Command Line application (MCCL) is an open-source software package that provides Monte Carlo simulations of radiative transport through heterogeneous turbid media. MCCL is available on GitHub through our virtualphotonics.org website, is actively supported, and carries extensive documentation. Here, we describe the main technical capabilities, the overall software architecture, and the operational details of MCCL. |
format | Online Article Text |
id | pubmed-9005200 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Society of Photo-Optical Instrumentation Engineers |
record_format | MEDLINE/PubMed |
spelling | pubmed-90052002022-04-14 MCCL: an open-source software application for Monte Carlo simulations of radiative transport Hayakawa, Carole K. Malenfant, Lisa Ranasinghesagara, Janaka Cuccia, David J. Spanier, Jerome Venugopalan, Vasan J Biomed Opt Special Section Celebrating 30 Years of Open Source Monte Carlo Codes in Biomedical Optics The Monte Carlo Command Line application (MCCL) is an open-source software package that provides Monte Carlo simulations of radiative transport through heterogeneous turbid media. MCCL is available on GitHub through our virtualphotonics.org website, is actively supported, and carries extensive documentation. Here, we describe the main technical capabilities, the overall software architecture, and the operational details of MCCL. Society of Photo-Optical Instrumentation Engineers 2022-04-12 2022-08 /pmc/articles/PMC9005200/ /pubmed/35415991 http://dx.doi.org/10.1117/1.JBO.27.8.083005 Text en © 2022 The Authors https://creativecommons.org/licenses/by/4.0/Published by SPIE under a Creative Commons Attribution 4.0 International License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI. |
spellingShingle | Special Section Celebrating 30 Years of Open Source Monte Carlo Codes in Biomedical Optics Hayakawa, Carole K. Malenfant, Lisa Ranasinghesagara, Janaka Cuccia, David J. Spanier, Jerome Venugopalan, Vasan MCCL: an open-source software application for Monte Carlo simulations of radiative transport |
title | MCCL: an open-source software application for Monte Carlo simulations of radiative transport |
title_full | MCCL: an open-source software application for Monte Carlo simulations of radiative transport |
title_fullStr | MCCL: an open-source software application for Monte Carlo simulations of radiative transport |
title_full_unstemmed | MCCL: an open-source software application for Monte Carlo simulations of radiative transport |
title_short | MCCL: an open-source software application for Monte Carlo simulations of radiative transport |
title_sort | mccl: an open-source software application for monte carlo simulations of radiative transport |
topic | Special Section Celebrating 30 Years of Open Source Monte Carlo Codes in Biomedical Optics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9005200/ https://www.ncbi.nlm.nih.gov/pubmed/35415991 http://dx.doi.org/10.1117/1.JBO.27.8.083005 |
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