Profiler Desktop Application
A standalone desktop version of Profiler that runs entirely on your local machine.
Perfect for offline analysis, sensitive data, or high-performance computing environments
without internet access.
Key Features:
- Complete offline functionality - no internet required
- Full access to all Profiler analysis modules
- Enhanced data privacy and security
- No upload limits or data size restrictions
- Faster processing on local hardware
- Support for Windows, macOS, and Linux
- Regular updates via GitHub releases
MSI2Profiler Desktop Tool
A specialized desktop application designed for preprocessing Mass Spectrometry Imaging (MSI)
data from .imzML files. Extract, process, and prepare your MSI data for direct import into Profiler
for downstream analysis.
Key Features:
- Load MSI .imzML files from tissue sections or ROIs
- Configurable mass range and bin size for spectra binning
- Multiple normalization methods (TIC, median, RMS)
- Log-transformation options for intensity values
- Export to CSV or Excel formats compatible with Profiler
- Visualize average spectra across regions
- Concatenate multiple ROI files for batch processing
- Quality control and data validation tools
Perfect for: Researchers working with MALDI-MSI, DESI-MSI, or other mass spectrometry imaging technologies who need to preprocess spatial omics data before analysis in Profiler.
🌐 Web Version
- Accessible from any browser
- No installation required
- Automatic updates
- Cross-platform compatibility
- Cloud-based storage
- Collaborative features
- Limited by upload size
💻 Desktop Version
- Complete offline access
- Maximum data privacy
- No file size limits
- Local hardware performance
- One-time installation
- Full data control
- Ideal for sensitive data
💡 Recommendation: Use the web version for quick analyses and collaboration.
Choose the desktop version for large datasets, offline work, or when handling sensitive/confidential data.
System Requirements:
Minimum:
- Operating System: Windows 10/11, macOS 10.15+, or Linux (Ubuntu 20.04+)
- RAM: 8 GB (16 GB recommended)
- Storage: 5 GB free space
- Processor: Intel Core i5 or equivalent
Recommended for large datasets:
- RAM: 32 GB or more
- Processor: Intel Core i7/i9 or AMD Ryzen 7/9
- SSD storage for faster data access
Installation Steps:
- Visit the GitHub repository
- Download the latest release for your operating system
- Extract the archive to your preferred location
- Run the installation script or executable
- Follow the on-screen instructions
- Launch Profiler from your applications menu