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Dear MCX/MMC registered users,
It is my great pleasure to let you know that MCX Suite (MCX/MCX-CL/MMC)
v2024.2 has just arrived! Please browse our website (https://mcx.space)
or the below link to access the latest software packages
https://mcx.space/wiki/?Get
The reason we prepared this new release was partly because we have added
some major new features since our last release - v2023 - in Oct 2023.
Another key reason was because we recently discovered and fixed a severe
bug <https://groups.google.com/g/mcx-users/c/l-glzQk1UgU/m/8OOz-QuSAQAJ>
in our `*pattern*` and `*pattern3d*` source types in MCX/MCX-CL.
*We strongly urge all users immediately upgrade your MCX/MCX-CL/MMC to
this new release to avoid using incorrect simulation results.*
A brief summary on the key features added in v2024.2 compared to v2023:
== MCX ==
* support user-defined photon launch angle distribution (#13)
* can simulate multiple sources in a single session (#163)
* support per-voxel mua/mus/g/n float format (#203)
* critical bug fix for double-multiplication of pattern launched
weight in `pattern`/`pattern3d` sources (#212)
== MCX-CL ==
* user-defined scattering phase function (fangq/mcx#129) and
* user-defined photon launch angle distribution (fangq/mcx#13)
* built and provide native Apple M1 binaries (experimental)
== MMC ==
* support saving photon trajectories (-D M or cfg.debuglevel='M')
* allow to use a single JSON input file to store mesh node,
element and iMMC ROI data, along with other simulation settings
* compute element face-neighbors (facenb) and volumes (evol) in C
code, avoid needing preprocessing
* support built-in benchmarks, use --bench to list and --bench
name to run
* accept pattern data in the JSON input file
* built and provide native Apple M1 binaries (experimental)
I want to particularly highlight that the ability to use arbitrary
photon launch angle control, combined with arbitrary scattering phase
function and voxel-varying optical properties make MCX/MCX-CL a truly
general-purpose optical simulator that can potentially handle any
complex media and sources. These significant leaps in functionality
hopefully will help you tackle more challenging research problems.
I want to say a few words about the severe bug we have recently fixed,
you can find detailed information about this bug in the below mailing
list announcement
https://groups.google.com/g/mcx-users/c/l-glzQk1UgU/m/8OOz-QuSAQAJ
briefly - any single-pattern (i.e. non-photon-sharing mode) simulation
using a non-binary `pattern` or `pattern3d` source in
MCX/MCXLAB/MCXCL/MCXLABCL/pmcx/pmcxcl since 2019 had been producing
incorrect fluence outputs - the computed light distribution was not from
the pattern data, but rather it's squared values. This does not affect
diffuse reflectance outputs or detected photon data. This also does not
affect photon-sharing based simulations.
If anyone is using these source types, regardless if they are expected
to be affected or not, I strongly encourage you rerunning your
simulations to verify if your results are still what you had expected.
We apologize for the inconvenience caused by this bug.
One more thing - as I mentioned in one the earlier emails, our recently
announced JSON based data sharing portal, NeuroJSON.io
(https://neurojson.io), will be further integrated with our MCX/MMC/MCX
Studio/MCXStudio tools in the next steps, to provide large libraries of
anatomical data and raw measurements from public datasets and enable
streamlined data processing. We have temporary replaced our registration
form by a short survey to get basic information from our users community
to better guide the development of this important integration in the
next steps.
We appreciate for your thoughtful inputs when you fill out the
registration form! thank you
Qianqian
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