RamApp was recently presented at the 12th International Conference on Advanced Vibrational Spectroscopy.
RamApp is a web application that aims to provide a user-friendly 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, multivariate curve resolution (MCR) and N-FINDR
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
Once uploaded, your data will be stored in a safe and personal space
Access the app from any browser and operating system without requiring a local installation
Here are the main people who contributed to the development of RamApp.
We are currently in the process of writing a paper that will detail the development and functionality of our application. Once this paper is published in a scientific journal, users will be able to cite the use of RamApp in their research, thereby increasing the visibility and recognition of our application in the academic community. This will also help to establish RamApp as a valuable tool for researchers in the field.
Don't hesitate to contact us if you have more questions
Start exploring the potential of RamApp now.