Evidence map›Paper›PMID 35429155›Full record

ArticleJournal of biomedical optics2022

BlenderPhotonics: an integrated open-source software environment for three-dimensional meshing and photon simulations in complex tissues.

Yuxuang Zhang, Qianqian Fang

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 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 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

2 authors.

Yuxuang ZhangNortheastern University, Department of Bioengineering, Boston, Massachusetts, United States.
Qianqian FangNortheastern University, Department of Bioengineering, Boston, Massachusetts, United States.

Funding

Next-generation Monte Carlo eXtreme Light Transport Simulation PlatformR01GM114365 · NIGMS · NORTHEASTERN UNIVERSITY · PI FANG, QIANQIAN · 2015 to 2023
$2.9M
NeuroJSON - A Scalable, Searchable and Verifiable Neuroimaging Data PlatformU24NS124027 · NINDS · NORTHEASTERN UNIVERSITY · PI Qianqian Fang · 2021 to 2026
$1.8M
Next-generation optical brain functional imaging platformR01EB026998 · NIBIB · NORTHEASTERN UNIVERSITY · PI FANG, QIANQIAN · 2018 to 2019
$870k
NIBIB NIH HHS R01 EB026998NIGMS NIH HHS R01 GM114365NINDS NIH HHS U24 NS124027
6 · The paper itself

Abstract

significanceRapid advances in biophotonics techniques require quantitative, model-based computational approaches to obtain functional and structural information from increasingly complex and multiscaled anatomies. The lack of efficient tools to accurately model tissue structures and subsequently perform quantitative multiphysics modeling greatly impedes the clinical translation of these modalities.

aimAlthough the mesh-based Monte Carlo (MMC) method expands our capabilities in simulating complex tissues using tetrahedral meshes, the generation of such domains often requires specialized meshing tools, such as Iso2Mesh. Creating a simplified and intuitive interface for tissue anatomical modeling and optical simulations is essential toward making these advanced modeling techniques broadly accessible to the user community. APPROACH: We responded to the above challenge by combining the powerful, open-source three-dimensional (3D) modeling software, Blender, with state-of-the-art 3D mesh generation and MC simulation tools, utilizing the interactive graphical user interface in Blender as the front-end to allow users to create complex tissue mesh models and subsequently launch MMC light simulations.

resultsHere, we present a tutorial to our Python-based Blender add-on-BlenderPhotonics-to interface with Iso2Mesh and MMC, which allows users to create, configure and refine complex simulation domains and run hardware-accelerated 3D light simulations with only a few clicks. We provide a comprehensive introduction to this tool and walk readers through five examples, ranging from simple shapes to sophisticated realistic tissue models.

conclusionsBlenderPhotonics is user friendly and open source, and it leverages the vastly rich ecosystem of Blender. It wraps advanced modeling capabilities within an easy-to-use and interactive interface. The latest software can be downloaded at http://mcx.space/bp.

Indexed as

EcosystemSoftwareComputer SimulationMonte Carlo MethodPhotonsgraphical user interfacemesh generationMonte Carlo methodopen-source softwarethree-dimensional modeling

Identifiers

PMID35429155
PMCPMC9010662

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.