Turn data into knowledge
Analysis and visualization in one software
Analysis and visualization of MALDI Imaging data has never been easier with the software from Bruker.
Powerful visualization and reporting
Advanced data processing and analysis
Workflow and extensibility
The following system requirements are recommended:
For best performance, an SSD should be used to host the SCiLS™ Lab data files. Best system performance is achieved using a RAID0 configuration of multiple SATA III or M.2 SSDs.
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-aware 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.
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.
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.
"With SCiLS Lab our team saved endless hours of manual comparisons. This unique feature was eagerly anticipated by us."
For Research Use Only. Not for use in clinical diagnostic procedures.