Laser ablation and inductively coupled plasma mass spectrometry focusing on bioimaging from elemental distribution. Please, visit the official web page of the project for downloads and support.
This maven project is comprised of the following modules:
- core: Contains the default implementation API.
- gui: Contains several GUI components.
- aibench: Contains a GUI application based on AIBench framework (AIBench).
The final application can be built using the
mvn install command. This command builds the three modules and generates the AIBench based application at
In order to create the Windows/Linux portable versions and the Windows executable installers, two profiles can be specified:
createInstallers, respectively. Both portable versions and installers are self-contained since they contain an embedded Java Runtime Environment to run the application.
Building the portable versions
Windows/Linux portable versions can be built using the
mvn install -PcreateDistributables command. This command generates the following four portable versions of La-iMAgeS at
la-images-aibench/target/builds: Linux 32-bit, Linux 64-bit, Windows 32-bit and Windows 64-bit.
Building the Windows installers
NSIS-based Windows installers can be built using the
mvn install -PcreateInstallers command. This command generates the 32 and 64-bit versions at
la-images-aibench/target/builds. Note that this profile is created to run under Linux environments with
wine installed (it relies on
i686-w64-mingw32-gcc to create some application files packed by NSIS).
This project is an idea and is developed by:
- Marco Aurélio Zezzi Arruda GEPAM Group
- Gustavo de Souza Pessôa GEPAM Group
- José Luis Capelo Martínez Bioscope Group
- Florentino Fdez-Riverola SING Group
- Miguel Reboiro-Jato SING Group
- Hugo López-Fernández SING Group
- Daniel Glez-Peña SING Group
If you use LA-iMageS, please, cite this publication:
H. López-Fernández; G. de S. Pessôa; M.A.Z. Arruda; J.L. Capelo-Martínez; F. Fdez-Riverola; D. Glez-Peña; M. Reboiro-Jato (2016) LA-iMageS: a software for elemental distribution bioimaging using LA-ICP-MS data. Journal of Cheminformatics. Volume 8:65. ISSN: 1758-2946