Advanced Raman Spectroscopy Analysis Suite
Comprehensive Python-based application for peak fitting, database management, cluster analysis, and 2D mapping
Multi-peak Lorentzian, Gaussian, Voigt, and asymmetric Voigt fitting with advanced algorithms
Store, search, and compare 6,939+ reference spectra from RRUFF, WURM, and SLOPP/E databases
Intelligent spectrum matching with correlation algorithms, DTW, and combined methods against 6,939+ reference spectra
Spatial Raman mapping with cosmic ray removal and parallel processing
Utilizes all CPU cores for faster analysis of large datasets (80,000+ spectra)
Live parameter adjustment with instant feedback for optimal results
Hierarchical clustering, K-means, and UMAP visualization for pattern discovery
Peak detection and fitting, baseline correction, database search, and spectrum visualization
Hierarchical clustering, K-means, UMAP dimensionality reduction, and feature importance
Spatial mapping, integrated intensity maps, peak position/width mapping, cosmic ray removal
Browse reference spectra, search by name or family, export filtered subsets
Crystal orientation analysis, Raman tensor calculations, polarization-dependent measurements
Batch processing, automated workflows, and comparative analysis
Download RamanLab today and transform your Raman spectroscopy analysis workflow
