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Poster Contributed Presentation

RAM

Monday Poster Sessions

M35 - RamApp: a modern web-based and free toolbox for the processing and analysis of hyperspectral imaging data

Monday, October 6, 2025
9:45 AM - 5:30 PM EDT
Location: Ballroom C

    Non-Presenting Author(s)

  • EB

    Elia Broggio

    Datrix S.p.A.
    Milan, Lombardia, Italy

  • AM

    Andrea Masella

    Datrix S.p.A.
    Milan, Lombardia, Italy

  • LV

    Lorenzo Venieri

    Datrix S.p.A.
    Milan, Lombardia, Italy

  • MC

    Michele Compare

    Datrix S.p.A.
    Milan, Lombardia, Italy

  • DP

    Dario Polli, PhD

    Professor of Physics
    Politecnico di Milano, Department of Physics//CNR-Institute for Photonics and Nanotechnologies
    Milan, Lombardia, Italy

    • Presenting Author(s)

  • Renzo Vanna, PhD

    PhD, senior scientist
    Consiglio Nazionale delle Ricerche - Istituto di Fotonica e Nanotecnologie
    Milano, Lombardia, Italy

    • Submitter(s)

  • Renzo Vanna, PhD

    PhD, senior scientist
    Consiglio Nazionale delle Ricerche - Istituto di Fotonica e Nanotecnologie
    Milano, Lombardia, Italy

In fifteen words or less, explain the significance of this contribution (Novel Aspect).: Free, browser-based platform simplifying hyperspectral imaging analysis without coding or specialized hardware

Abstract Text:

The processing and analysis of hyperspectral data in fields such as biomedical research and material science often require custom software development or access to commercial platforms. These solutions can be expensive, require programming skills, and may not be user-friendly—ultimately limiting accessibility, reproducibility, and collaboration.

RamApp (https://ramapp.io) is a free, browser-accessible application designed to simplify and streamline the exploration and analysis of hyperspectral data. It does not require installation or local computational resources and can be accessed from any modern operating system. Updates and bug fixes are deployed centrally, ensuring immediate availability for users.

The platform supports a range of open (ASCII, HDF5, etc.) and proprietary (Horiba, Renishaw, WiTec, Matlab) file formats, enhancing interoperability and usability across commercial and custom-built instruments. Users can export both raw and processed data, along with high-quality images for publication or further analysis.

RamApp includes a comprehensive set of tools for spectral and spatial preprocessing and analysis—such as cropping, denoising, substrate detection and correction, clustering, and spectral unmixing (MCR, N-FINDR). It also allows for the generation of intensity maps and the creation of custom masks. While optimised for Raman spectroscopy (both spontaneous and coherent), the core functionalities of RamApp are also suitable for hyperspectral datasets from other techniques, including Brillouin, FTIR, and hyperspectral imaging (HSI).