Install the MCR libraries by executing MCRInstaller.dmg and following the on screen instructions. Unzip the OpenSees Navigator files in any directory of your choice and then execute OpenSeesNavigator.command. The Oxford student who tabled the motion to remove an 'unwelcoming' portrait of the Queen from Magdalen College's common room is a privately educated American post grad who went to school with. MCR Safety has over forty years of experience as a leader in the field of Personal Protective Equipment (PPE). We have dedicated safety professionals committed to engaging at industrial workplaces to demonstrate our products, provide training, and extend our 360° Protection Program. Learn more or schedule your visit today!

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OpenSees Navigator is also available as a standalone executable application for Macintosh systems. This allows you to run OpenSees Navigator without having to install Matlab on your Mac. Instead of installing Matlab you will only have to install and download the Matlab Compiler Runtime (MCR) libraries, which are freely available from the Mathworks website. Please follow the instructions below to install and run OpenSees Navigator as a standalone application.

Installation Instructions:

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1. To download OpenSees Navigator please register first, if you have not done so yet.
2. Log in and download the OpenSees Navigator zip-file containing the standalone executable for your platform.
3. Download the appropriate version of the Matlab Compiler Runtime (MCR) libraries for your platform. Important: You can find the correct version of the MCR from the readme.txt file that comes with the OpenSees Navigator application.
4. Install the MCR libraries by executing MCRInstaller.dmg and following the on screen instructions.
5. Unzip the OpenSees Navigator files in any directory of your choice and then execute OpenSeesNavigator.command.
6. Important: Typically it is necessary to start OpenSees Navigator twice the very first time for it to initialize some internal variables correctly.
7. Please note: starting the compiled application takes approximately the same amount of time as starting Matlab, so please be patient.

Older Versions:

System Requirements

Operating System: Windows 10 (64-bit); Mac OS X 10.8+; Linux 64-bit
Memory: 2 GB (4+ GB recommended)
Processor: x86

The BrainSuite software is distributed as a GUI for Windows, Macintosh OS X, and Linux platforms. Command line programs for cortical surface extraction and diffusion processing are also provided. The related software for Surface/Volume Registration (SVReg) is provided as a collection of command-line programs callable from BrainSuite’s GUI, while the BrainSuite Diffusion Pipeline (BDP) is a command-line only program.

The software may be downloaded here.

Installing on Mac OS X

Mac OS X Platforms

Note: if you are using MacOS Sierra (10.12), please see this page.

BrainSuite for Mac OS X is distributed as a disk image (BrainSuite16a1.dmg) file. To install:

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1. Open BrainSuite16a1.dmg and drag the BrainSuite16a1 folder into your Applications folder, as indicated in the pop-up window.
2. Download and install the 2015b MATLAB Compiler Runtime, available from Mathworks. See the Mathworks MCR page for more details.
3. Open your Applications folder (or Launch Pad on the dock) and start BrainSuite21a from within the BrainSuite21a folder.
4. Verify that the program has been installed correctly by checking that no red text warnings appear in the log at the bottom of the BrainSuite window.

Installing on Windows

Windows Platforms

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On Windows, the software is distributed as an installer package (BrainSuite21a_win64.exe). To install:

1. Run BrainSuite21a_win64.exe. This will initiate the BrainSuite Installer.
2. Follow the instructions for the Setup, indicating the folder in which you would like to save BrainSuite and its shortcuts.
3. The Setup program will check to see if you have the correct version of the Matlab runtime libraries installed. If you do not, it will offer to download the MATLAB Compiler Runtime for you. Install this, and then continue the setup procedure.
4. When Setup has finished, launch BrainSuite.
5. Verify that the program has been installed correctly by checking that no red text warnings appear in the log at the bottom of the BrainSuite window.

Installing on Linux

Linux Platforms

On Linux, the software is distributed as gzipped tar file (BrainSuite21a.linux.tgz). This file can be installed to whichever location is most appropriate for your system. A typical location, provided you have administrator privileges, would be /opt/BrainSuite16a1/. For individual use, you may want to locate the program in your home directory.

1. Unzip and untar BrainSuite21a.linux.tgz file. This will create a BrainSuite21a folder which includes the files for CSE, BDP, and SVReg.

This can be done on the command line using

Note that you can unpack BrainSuite into the /opt directory by using

sudo tar xvfz BrainSuite21a.linux.tgz -C /opt/
2. If necessary, move the folder to its desired location. You may need to use sudo to do this.
3. Download and install the , 2015b MATLAB Compiler Runtime for Linux, available from Mathworks. See the Mathworks MCR page for more details.
4. To run the GUI on Linux (requires glibc 2.14, glibc++ 3.4.19 or greater), launch BrainSuite16a1 in the bin folder from the terminal, e.g., /opt/BrainSuite16a1/bin/BrainSuite16a1. Doing so will launch the user interface:
5. We have run the BrainSuite GUI on Ubuntu 14.04LTS, 15.04, and 16.04LTS.
6. For Ubuntu 12.04LTS, a newer version of glibc++ must be installed. One way to do this is to install g++ 4.8. See this page for details.

   sudo add-apt-repository ppa:ubuntu-toolchain-r/test

   sudo apt-get update

   sudo apt-get install g++-4.8

   Another is to copy a recent version (3.4.19 or greater) of libg++.so to the lib directory inside BrainSuite16a1/bin.

7. There are a variety of Linux flavors, so if you encounter difficulties with the installation, please visit the BrainSuite forums for assistance.

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Building from Source

We highly recommend using the pre-compiled versions of BrainSuite, which have been tested for cross-platform compatibility. If you do wish do build the software from the source code, instructions for how to do this are provided on this page.