RamApp, a modern hyperspectral imaging toolbox for processing and analysis
An intuitive, user-friendly and open-source software to explore Raman maps
An intuitive, user-friendly and open-source software to explore Raman maps
RamApp is a web application that aims to provide a user-friendly and open-source solution allowing researchers from various backgrounds to easily and successfully explore hyperspectral data, with a focus on Raman imaging
Import data obtained from different sources, including the most diffused commercial software
RamApp covers the most-used tools and techniques for Raman maps: from cropping and smoothing to spikes detection and baseline correction
Analyse Raman maps using statistical data analysis methods such as clustering, PCA and multivariate curve resolution (MCR)
Create, as individual or stacked images, intensity maps with a high level of customization
Export publication-quality images or raw data for further analysis
Interactively explore and visualise the data and the results of each processing step with a fast and easy work environment
The code will be made freely available to the public for possible modification and redistribution
Access the app from any browser and operating system without requiring a local installation
Don't hesitate to contact us if you have more questions
