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Logo LA-iMageS license

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).

Building LA-iMageS

The final application can be built using the mvn install command. This command builds the three modules and generates the AIBench based application at la-images-aibench/target.

In order to create the Windows/Linux portable versions and the Windows executable installers, two profiles can be specified: createDistributables and 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 mingw-w64 and wine installed (it relies on i686-w64-mingw32-windres and i686-w64-mingw32-gcc to create some application files packed by NSIS).


This project is an idea and is developed by:


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