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The Maestro program files, the JMWork analysis application, and a number of Maestro-specific utilities for Matlab are available for download on this page, along with some additional documents and selected source code files. With few exceptions, the software and related documentation is developed, maintained, and owned by the Lisberger laboratory, with funding from the Howard Hughes Medical Institute. The software has been made available here free of charge to support associates in the scientific community who are using Maestro currently or have used it in the past.
Maestro, RMVideo, JMWork and the Maestro-related Matlab utilities available for download from this website are developed and maintained for use by members of the Lisberger laboratory. The various executable files, Java archives (JAR), Matlab MEX functions and scripts, and source code files are provided 'as is' with absolutely no warranty. If you elect to download and use any of the executable or JAR files: (1) you agree that you will not hold the Lisberger laboratory nor the software developers liable for any malfunction in the program or the system on which it is installed, nor for any loss of data/information resulting from the use of the program; (2) you agree not to redistribute the application in any form to other users; and (3) you agree not to reverse-engineer the executable or JAR files with the express purpose of modifying the application and redistributing it as your own software product.
If you choose to download any source code files or Matlab M-scripts, y ou may modify them for your own purposes if you wish, although we strongly discourage doing so. Regardless, you agree not to modify the code and redistribute it as your own software product without the Lisberger laboratory's written consent.
As of Maestro v3.2.1, this 'auto-update' feature has been removed. Starting with version 6, RMVideo has been compiled to run on a much more recent Linux distribution.
As a consequence, there are now two different builds of RMVideo V6 in use in laboratories - the original 2014 build (compiled on a 2009-era Linux machine with Mandriva Linux and a 2.6 kernel) and a May 2016 build (under Ubuntu Linux 14.04.3 LTS with a 3.19 kernel). This complicates the auto-update feature significantly, so we decided to remove it altogether.
In the future, whenever changes are made to RMVideo, the new release must be downloaded and installed manually. The two builds for RMVideo V6 are available in ZIP archives in the RMVideo (version 6) file folder below: rmvideoV62014.zip and rmvideoV6May2016.zip. Note - There is also an Oct 2016 build that includes a bug fix to RMVideo's implementation of the Bar/Line target; however, you can stick with the May 2016 build because the bug has a simple workaround - see the entry for Maestro V3.3.0 in the. The archives include a README file with additional installation instructions. Also available for download are source code archives for the two builds, as well as an archive containing some sample movie files for testing purposes.
As of Maestro v3.3.1 and RMVideo V7, the older RMVideo build targeting a 2.6 kernel is no longer supported. The RMVideo workstation should be configured to run Ubuntu Linux 14.04.5 (the latest version of the long-term stable 14.04 release). For details on configuring an off-the-shelf Linux workstation to run RMVideo, see. The installation and source-code archives for RMVideo V7 are included in an appropriately named folder in the file cabinet at the bottom of this page. Maestro-related Utilities for Matlab. The file cabinet below includes a variety of Matlab utilities for Maestro users.
The most important of these is the MEX function readcxdata, which is routinely used to read in and parse the contents of a binary Maestro data file into a Matlab structure array. The MEX function editcxdata is a companion to readcxdata that allows the researcher to edit JMWork-generated analysis results appended to the data file without altering the original recorded data. Those who run Maestro in conjunction with the Plexon Multi-Acquisition Processor can use the plexmon tool ( plexmon.m, plexmon.gui) with plexsecthist.m or their own custom handler script to monitor an experiment's progress at runtime, while those who would like to use Matlab scripts to generate a Maestro experiment document will find a use for the maestrodoc utility. Review the for a more thorough description of all of the Matlab MEX and M-file functions available for download here.
The folder READCXDATA in the file cabinet contains ZIP archives for a number of different releases of readcxdata and editcxdata. The cxdatamexvMNP.zip file contains the MEX files for the release targeting Maestro version M.N.P, while cxdatasrcvMNP.zip archives the corresponding source code files. Note that not every Maestro release is accompanied by a corresponding read/editcxdata release; the MEX functions are only updated when necessary. Be sure to select an archive with a version number greater than or equal to the version of Maestro that you are using. The MEX functions can process data files generated by earlier versions of Maestro, but not by later versions! If you need to build the MEX files yourself, download the appropriate cxdatasrcv.zip archive, unzip the file contents, and use your Matlab installation's mex function to compile the MEX files for your OS.
We suggest doing this from within Matlab itself: make sure that the current directory is the directory containing the unzipped source code files, then type: mex readcxdata.c pertmgr.c noisyem.c to compile readcxdata, or mex editcxdata.c to build editcxdata. The mex tool will create a MEX file with the appropriate extension for your platform. If this works, great.
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If not, you are on your own. Review the documentation on the mex tool; the problem might be fixed by tweaking the MEX options file. You may also need to install a supported compiler. If you run into problems, feel free to send an; but understand that it is unlikely we will be able to find a solution since we do not have access to all of the OS platforms on which Matlab runs.
Please check the file makeReleaseProcedures.txt in the source code archive for some helpful build procedure notes. As of Jan 2017, we decided to no longer package hhmi-ms-common.jar in maestrodoc.zip. Instead, hhmi-ms-maestro.jar is now self-contained, including all Java classes that maestrodoc requires.
Once you've downloaded and decompressed maestrodoc.zip, you should find maestrodoc.m and hhmi-ms-maestro.jar in the resulting directory. The JAR file must be added to Matlab's Java class path. The best way to do this is to append the line javaaddpath P, where P is the full file system pathname for hhmi-ms-maestro.jar. Alternatively, you could call javaclasspath(P) from the Matlab command line, but then you have to remember to do this every time you run the program.The plexmon utility requires two MEX functions for proper operation, checkfile.mexw32 and mexPlexOnline.mexw32. These functions have only been compiled for the Windows 32-bit platform, since plexmon must run on the same Windows 32-bit workstation as the Plexon software.
Note: 64-bit versions of the checkfile and mexPlexOnline MEX functions are now also available for download.To use any of these Matlab functions, download the relevant files and install them in a directory that is in your Matlab command path. It's a good idea to put all of the Maestro-related functions you use in one place, then modify your Matlab startup script, startup.m, to ensure that directory path is part of your command path. Finally, it should be noted that these various Matlab utilities are updated from time to time as enhancements and bug fixes are made, and to keep up with changes in Maestro itself. Be sure to check back for updates, or simply subscribe to changes in the file cabinet below so you will be automatically informed when any updates are posted.JMWork - System Requirements and Download/Installation Instructions. OS: Windows 7, 8, 10/Mac OS X 10.6+/Linux. Java Runtime Environment (JRE): You must separately install a JRE compatible with the host OS in order to run JMWork.
As of version 1.9.0, the program requires a Java 8 JRE. The application is code-compatible with (and was compiled against) a Java 8 development kit (JDK), but it should run on newer versions of the Java runtime. Versions 1.8.x were compiled against a Java 7 JDK and required a Java 7 JRE or better, and versions 1.7.1 and earlier were compiled against a Java 6 SDK and required Java 6 or better.
Processor/memory: For best results, we recommend a Windows system with an Intel Core 2 Duo-class processor rated at 2GHz or better and at least 2GB RAM, or a Mac OSX system with an Inter Core 2 Duo-class processor or better and at least 2GB RAM. Performance may also be affected by the quality of the system's video card, whether or not it borrows system RAM for use as video memory, etc. PlatformZIP ArchivesInstructionsWindowsjmworkwinNMR.zipFor versions 1.6.5-1.8.4: Download this ZIP file, which contains the Java archive (JAR) files required to run version N.M.R of the program: the executable JAR jmwork.jar as well as additional supporting JARs. To use it, unzip the file in a directory of your choosing and simply double-click on the JAR file directly or the batch file JMWork.bat (this explicitly sets the VM's maximum heap size to 1024MB; the default value may be different) - JMWork should launch as long as the required JRE is installed on the system and the JRE's java.exe is on the system command path. Be sure to keep all supporting JAR files in the same directory as the executable JAR.For versions 1.9.0 and later: Download and unzip this archive, then open the resulting folder and run the self-extracting installer, JMWorkSetup.exe.
This is a very simple installer that makes the program available only to the current user. No administrator privileges are required. You'll find the installed application at Start Menu: All Programs: JMWork. You can pin JMWork to the task bar, if you so desire. You can uninstall it like any other native Windows app.Mac OS XjmworkmacNMR.zip, OR jmworkmacj7pNMR.zipFor versions 1.6.4 - 1.7.1 using Apple's proprietary Java 6 (last update: 1.6.065): Download the archive file jmworkmacNMR.zip, which contains the OSX 'application bundle' - compatible with Apple's (deprecated) implementation of the Java 6 runtime environment - for version N.M.R of the program. Unzip the downloaded file in your Applications directory, and double-click the application icon to start the program.
NOTE: Using Apple Java 6 is NOT recommended; in fact, it is not available on more recent versions of macOS.For versions 1.6.4-1.7.1 using Oracle Java 7/8: Download the archive file jmworkmacj7pNMR.zip, which contains the OSX 'application bundle' - compatible with Oracle's Java runtime - for version N.M.R of the program. Unzip the downloaded file in your Applications directory, and double-click the application icon to start the program. The native launcher embedded in this application bundle isspecific to the Oracle implementation of the Java runtime environment. If you are using a JRE supplied by a different vendor, JMWork may fail to launch when you double-click the app bundle.For versions 1.8.x using Oracle Java 7/8: For these JMWork versions, the ZIP file is named jmworkmacNMR.zip. Otherwise, the procedure is the same.For versions 1.9.0 and later: Download the ZIP file jmworkmacNMR.zip, unzip it, and place the resulting JMWork application bundle in your Applications folder.
Double-click on the bundle to launch JMWork. Starting with version 1.9.0, the application bundle comes with an executable bash script as the native launcher ('universalJavaApplicationStub'). This script does a better job of finding the location of a suitable (version 8 or better) Java runtime environment installed on the system. It should work with Java runtimes from any of the various major vendors (Oracle, Amazon Corretto, AdoptOpenJDK). Version 1.9.0 has been tested on Java 8 and Java 11 (using Amazon Corretto 8 or 11 JRE) on MacOS Catalina (10.15).LinuxjmworkwinNMR.zip, ORjmworklinuxNMR.zipFor versions 1.6.5-1.8.4: Download jmworkwinNMR.zip and extract it to a directory of your choice. Then open a C-shell terminal, navigate to that directory, and run the commandjava -Xmx1024M -jar jmwork.jar.This, of course, assumes that you have installed a Linux-compatible Java runtime environment on your system and that the command path includes the bin directory for that JRE.
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Your system may already have the necessary JRE; to check, type 'java -version' at the command prompt. The -Xmx option sets the maximum heap size for the JVM; you can omit this if you wish, or specify a different value.For versions 1.9.0 and later: Download jmworklinuxNMR.zip instead of jmworkwinNMR.zip; then follow the same procedure as above.
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