MS Software

SCiLS™ Lab

The world-leading software for analysis of mass spectrometry imaging data from all major mass spectrometry vendors, including Bruker’s FLEX series and MRMS

Turn data into knowledge

Analysis and visualization in one software

MS Software

SCiLS™ Lab

Easy to use
Supports all major Bruker instruments and data from other major mass spectrometry vendors.
2D and 3D visualization allows a multitude of applications in pharmaceutical, medical, and industrial research.
Advanced processing and analysis with next generation machine learning algorithms.
Integral part of the MALDI Molecular Drug Imager, the rapifleX MALDI Tissuetyper, and the SpatialOMx workflows from timsTOF fleX.

Software for MS imaging data analysis

Analysis and visualization of MALDI Imaging data has never been easier with the software from Bruker.

Powerful visualization and reporting

  • Instant and intuitive visualization of ion images and mass spectra
  • Flexible rendering options for visualizing spatial compound distributions and distribution patterns
  • Compelling statistical charts and reports
  • Volumetric visualization of 3D MS imaging studies (optional)

Advanced data processing and analysis

  • Advanced machine learning algorithms for data sets of virtually unlimited size
  • Comparative analysis for uncovering discriminative and correlated spectral features
  • Unsupervised spatial segmentation and component analysis for untargeted clustering and data mining
  • Metadata annotations for characterizing regions in clinical and pre-clinical studies
  • Classification models for categorization of unlabeled samples
  • Analyte quantitation based on dilution series

Workflow and extensibility

  • Comprehensive tools for all kinds of targeted and untargeted SpatialOMx workflows
  • Integration with histological annotations from digital pathology
  • Extensive application programming interface (API) for automated reporting and advanced workflow integration
  • Export MS imaging data to the open industry standard imzML
  • Import MS imaging datasets from imzML or from various third party vendors’ imaging data formats (optional)
SCiLS™ Lab is the industry’s tool of choice for deriving new insights from mass spectrometry imaging data. Used across science and industry, the software sets new standards in analysis and visualization, simplifying everyday work and boosting research output.

System requirements​
The following system requirements are recommended:

  • Intel Core i7 processor or Intel Xeon processor (or equivalent) with at least 4 cores
  • Microsoft Windows 10 64 Bit operating system
  • 64 GB of RAM (128 GB recommended for large datasets)
  • 1 TB disk space (SSD recommended, see below)
  • Full HD display (1920 x 1080) or larger
  • Graphics adapter supporting OpenGL 3.2, at least 4 GB GPU memory recommended

For best performance, a solid state drive (SSD) should be used to host the SCiLS™ Lab data files.


World-leading software for analysis of mass spectrometry imaging data

SCiLS™ Lab integrates data from all major mass spectrometry vendors, including Bruker’s FLEX series and MRMS, as well as datasets provided in the open imzML format. For timsTOF fleX ion mobility data, SCiLS™ Lab displays mass-mobility ion images allowing CCS-enabled data interpretation.
Comparative analysis of multiple samples can be visualized in both 2D and 3D, enabling a multitude of applications in pharmaceutical drug development, tissue-resolved biomarker discovery, and translational pathology research to complement immunohistochemistry.
SCiLS™ Lab supports intuitive workflows for MSI quantitation of target molecules directly from tissue. It integrates with the SpatialOMx workflow from MetaboScape® and visualizes the annotated MALDI molecular tissue images of detected features (metabolites, lipids, glycans). For integration with histology, SCiLS™ Lab provides an interface to the powerful open source software QuPath widely used in digital pathology.


Label-free MS imaging for all classes of molecules – from proteins to small molecules

SCiLS™ Lab can be used for the analysis of multiple MALDI Imaging datasets, allowing them to be loaded and arranged side by side. Compositions of data sets of virtually unlimited size can be visualized and statistically analyzed for detailed interpretation. Moreover, SCiLS™ Lab can be used to generate and visualize 3D models from consecutive 2D MALDI imaging datasets.

Distribution of three distinct m/z values in a 3D reconstruction of 49 sagittal mouse brain sections containing a non-metastasizing cerebellar tumor with SCiLS™ Lab.
Statistical analysis with SCiLS™ Lab: Automatically group samples according to Metadata provided with experiments – perform classification and prediction with machine learning methods for tissue typing or biomarker discovery. ​

Large sample cohorts in clinical research studies
In clinical biomarker studies for the discovery of discriminating ions, large sample cohorts and huge amounts of data need to be analyzed. SCiLS™ Lab makes it easy to link sample metainformation to MALDI MSI data, saving time and avoiding errors. Histological annotations from digital pathology are integrated using an interface to the powerful and widely used open source application QuPath.

Automatic elucidation of spectral features discriminating pathophysiological alterations are easily performed. With just one click, SCiLS™ Lab automatically quantifies how well ions discriminate between different biological states. The resulting list of novel biomarker candidates can be easily exported for subsequent analysis.

Discover the powerful data mining capabilities that are now just a single click away!

Whole body imaging
The visualization of drug and metabolite distributions within whole-body tissue sections  remains a challenging methodology with respect to sample processing, acquisition, and computational data analysis.  

SCiLS™ Lab offers tools for the entire MALDI MSI data analysis workflow. Multiple data sets composed of millions of spectra can be processed using one software, from the registration of multiple individual data sets over spectral preprocessing to comprehensive statistical analysis.

Label-free targeted imaging and distribution mapping for drug discovery and DMPK/PD: Low operational cost and high specificity – differentiate drug and metabolite distributions, quantify target compounds, and integrate with histology.

"With SCiLS Lab our team saved endless hours of manual comparisons. This unique feature was eagerly anticipated by us."

Rita Casadonte, PhD, Proteopath GmbH