Name: SCiLS Lab
Author: SCiLS

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SCiLS Lab by Bruker is an analysis and visualization software designed specifically for mass spectrometry imaging (MSI) data. According to the vendor, this user-friendly software is aimed at small to large companies in various industries, including pharmaceutical research, medical research, industrial research, clinical biomarker studies, and digital pathology. With its intuitive workflows, extensive features, and integration capabilities, SCiLS Lab is positioned as a valuable tool for professionals in these fields.

## Key Features

**Easy to use**: According to the vendor, SCiLS Lab supports all major mass spectrometry vendors and offers intuitive workflows for MSI quantitation directly from tissue. It also integrates with histological annotations from digital pathology and provides an extensive application programming interface (API) for automated reporting and advanced workflow integration.

**Visualization**: The software enables instant and intuitive visualization of ion images and mass spectra, as claimed by the vendor. It offers flexible rendering options for visualizing spatial compound distributions and distribution patterns. Additionally, it provides statistical charts and reports, and optionally allows volumetric visualization of 3D MS imaging studies.

**Analysis**: According to the vendor, SCiLS Lab employs advanced machine learning algorithms for data sets of virtually unlimited size. It facilitates comparative analysis to uncover discriminative and correlated spectral features. The software supports unsupervised spatial segmentation and component analysis for untargeted clustering and data mining. It also enables metadata annotations for characterizing regions in clinical and pre-clinical studies, provides classification models for categorization of unlabeled samples, and allows analyte quantitation based on dilution series.

**Integrated**: SCiLS Lab serves as an integral part of various workflows, including the MALDI Molecular Drug Imager, the rapifleX MALDI Tissuetyper, and the SpatialOMx workflows from timsTOF fleX, according to the vendor. It integrates with histological annotations from digital pathology and supports the export of MS imaging data to the open industry standard imzML. Additionally, it offers the option to import MS imaging datasets from imzML or from various third-party vendors' imaging data formats.

**Label-free MS imaging for all classes of molecules**: According to the vendor, this feature enables the analysis of multiple MALDI Imaging datasets, allowing them to be loaded and arranged side by side. It facilitates the visualization and statistical analysis of compositions of data sets of virtually unlimited size. SCiLS Lab also provides tools for generating and visualizing 3D models from consecutive 2D MALDI imaging datasets.

**Large sample cohorts in clinical research studies**: The software simplifies the analysis of large sample cohorts and huge amounts of data in clinical biomarker studies, according to the vendor. It links sample metainformation to MALDI MSI data, saving time and avoiding errors. SCiLS Lab integrates histological annotations from digital pathology using an interface to the powerful open-source application QuPath. It also facilitates the automatic elucidation of spectral features discriminating pathophysiological alterations and quantifies how well ions discriminate between different biological states. Additionally, it enables easy export of lists of novel biomarker candidates for subsequent analysis.

**Whole body imaging**: SCiLS Lab offers tools for the entire MALDI MSI data analysis workflow, as stated by the vendor. It enables the processing of multiple data sets composed of millions of spectra using one software. The software facilitates spectral preprocessing and comprehensive statistical analysis. It also supports label-free targeted imaging and distribution mapping for drug discovery and DMPK/PD.

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SCiLS Lab

Data virtualization tools provide a virtual abstraction layer for multiple sources of data without copying or moving the data. This layer hides the technical aspects of stored data like location, structure, access language and storage technology. Data virtualization tools allow many different data sources to act as a single, consistent source for data consumers.

SCiLS

Data Visualization

Data Visualization software features help clients and businesses better visualize and present data.

Data Visualization Options

Provides a wide range of customizable data visualization options such as charts, graphs, maps, and tables to effectively present data.

Interactivity

Enables users to interact with the visualizations by clicking, hovering, zooming, or filtering to explore the data further.

Data Import and Export

Allows users to easily import data from various sources like databases, spreadsheets, CSV files, and APIs, and export visualizations for sharing or further analysis.

Dashboard Creation

Allows users to create interactive dashboards by combining multiple visualizations and data components into a single layout for a comprehensive view of data.

Customization Capabilities

Offers options to customize colors, styles, labels, fonts, and other design elements to tailor visualizations to specific needs and branding.

Data Filtering and Sorting

Enables users to filter and sort data within visualizations based on specific criteria to focus on relevant information and trends.

Project Collaboration Tools

Provides features for multiple users to collaborate on data visualizations simultaneously, share insights, and work on projects together.

Real-time Data Updates

Supports real-time data streaming and updates to ensure that visualizations reflect the most current information and changes.

Cross-platform Accessibility

Allows users to access and view data visualizations on different devices and platforms such as desktops, tablets, and smartphones.

Data Analytics Integration

Integrates with data analytics tools and platforms to perform advanced data analysis, derive insights, and enhance visualization capabilities.

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SCiLS Lab

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What is SCiLS Lab?