Evidence map›Paper›PMID 35415991›Full record

ArticleJournal of biomedical optics2022

MCCL: an open-source software application for Monte Carlo simulations of radiative transport.

Carole K Hayakawa, Lisa Malenfant, Janaka Ranasinghesagara, David J Cuccia, Jerome Spanier, Vasan Venugopalan

Abstract read
In one paragraph

Article in Journal of biomedical optics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Carole K HayakawaUniversity of California at Irvine, Department of Chemical and Biomolecular Engineering, Irvine, Cal, United States.
Lisa MalenfantUniversity of California at Irvine, Beckman Laser Institute, Irvine, California, United States.
Janaka RanasinghesagaraUniversity of California at Irvine, Department of Chemical and Biomolecular Engineering, Irvine, Cal, United States.
David J CucciaModulim, Irvine, California, United States.
Jerome SpanierUniversity of California at Irvine, Beckman Laser Institute, Irvine, California, United States.
Vasan VenugopalanUniversity of California at Irvine, Department of Chemical and Biomolecular Engineering, Irvine, Cal, United States.

Funding

Virtual Photonocs TechnologiesP41EB015890 · NIBIB · UNIVERSITY OF CALIFORNIA-IRVINE · PI TROMBERG, BRUCE J. · 2012 to 2017
$7.0M
A National Short Course in Computational BiophotonicsR25GM103818 · NIGMS · UNIVERSITY OF CALIFORNIA-IRVINE · PI SPANIER, JEROME, VENUGOPALAN, VASAN · 2013 to 2017
$755k
A Virtual Tissue Simulator for Biomedical OpticsK25EB007309 · NIBIB · UNIVERSITY OF CALIFORNIA-IRVINE · PI HAYAKAWA, CAROLE KAY · 2008 to 2012
$559k
Adaptive optics modeling in nonlinear microscopy to improve deep tissue imagingR21GM128135 · NIGMS · UNIVERSITY OF CALIFORNIA-IRVINE · PI VENUGOPALAN, VASAN · 2018 to 2019
$425k
NIBIB NIH HHS K25 EB007309NIBIB NIH HHS P41 EB015890NIGMS NIH HHS R21 GM128135NIGMS NIH HHS R25 GM103818
6 · The paper itself

Abstract

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.

Indexed as

PhotonsSoftwareComputer SimulationMonte Carlo Methoddiffuse opticsMonte Carlo simulationopen-source softwarephoton migration

Identifiers

PMID35415991
PMCPMC9005200

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.