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       MCX Studio and the MCX Suite - version 2026
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Copyright (c) 2009-2026  Qianqian Fang <q.fang at neu.edu>
Computational Optics & Translational Imaging (COTI) Lab
Northeastern University, Boston, MA, USA
Website: https://mcx.space    Source: https://github.com/fangq/mcx

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What you are about to install
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MCX Studio, a graphical program for setting up, running and
viewing Monte Carlo light-transport simulations, together with
the simulators it drives:

  MCX     voxel-based, on NVIDIA GPUs (CUDA)
  MCX-CL  voxel-based, on any OpenCL device: NVIDIA, AMD and
          Intel GPUs, and CPUs
  MMC     mesh-based (tetrahedral), on CPUs and GPUs
  vkmmc   mesh-based, using the ray-tracing hardware of recent
          GPUs through Vulkan
  uMCX    a compact, portable MCX for CPUs

and, if you choose, their MATLAB/Octave toolboxes (mcxlab,
mcxlabcl, mmclab, iso2mesh, redbird, zmat) and Python helpers.

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License
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This is free, open-source software, distributed under the GNU
General Public License, version 3 or (at your option) any later
version: https://www.gnu.org/licenses/gpl-3.0.en.html

In short, you may use it for any purpose, including commercial
work; study and change it; and share it, changed or not, as long
as what you share stays under the same license and comes with its
source code. It comes with NO WARRANTY, to the extent permitted
by law.

The bundled toolboxes and libraries are separate projects with
licenses of their own; each one's license file is in its folder.

To continue installation, you must agree with the above license.

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Citing this software
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The MCX project is funded by the US National Institutes of Health
(NIH/NIGMS) under grant R01-GM114365. If MCX Studio or the
simulators help your research, please cite the papers describing
the tools you used. The main ones are:

MCX     Q. Fang, D. A. Boas, "Monte Carlo simulation of photon
        migration in 3D turbid media accelerated by graphics
        processing units," Opt. Express 17(22), 20178 (2009).
        https://doi.org/10.1364/OE.17.020178

MCX-CL  L. Yu, F. Nina-Paravecino, D. Kaeli, Q. Fang, "Scalable
        and massively parallel Monte Carlo photon transport
        simulations for heterogeneous computing platforms,"
        J. Biomed. Opt. 23(1), 010504 (2018).
        https://doi.org/10.1117/1.JBO.23.1.010504

MMC     Q. Fang, "Mesh-based Monte Carlo method using fast
        ray-tracing in Plucker coordinates," Biomed. Opt.
        Express 1(1), 165-175 (2010).
        https://doi.org/10.1364/BOE.1.000165

        Q. Fang, S. Yan, "Graphics processing unit-accelerated
        mesh-based Monte Carlo photon transport simulations,"
        J. Biomed. Opt. 24(11), 115002 (2019).
        https://doi.org/10.1117/1.JBO.24.11.115002

vkmmc / S. Yan, D. Dwyer, D. R. Kaeli, Q. Fang, "Accelerating
RT-MMC  mesh-based Monte Carlo simulations using contemporary
        graphics ray-tracing hardware," J. Biomed. Opt. 31(3),
        035002 (2026). https://doi.org/10.1117/1.JBO.31.3.035002

The complete list -- polarization, split-voxel (SVMC), implicit
and wide-field MMC, photon replay and Jacobians, denoising, and
applications -- is in MCXSuite\mcx\NOTICE.txt once installed, and
at https://mcx.space.
