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April 4, 20260 citationsOpen Access

HyperLab App

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FCFrancesco Carraro

Key Points

  • The aim is to create a cross-platform application for processing hyperspectral data efficiently.
  • Developed using .NET MAUI and Blazor Hybrid for visualization.
  • Features local data ingestion and parsing for hyperspectral data.
  • Implements ML workflows like G-Mode and K-Means for data analysis.
  • Facilitates remote operations with an external HyperLab backend.
  • Incorporates metadata management and rich UI visualization.
  • Demonstrates effective processing of hyperspectral data with local and remote capabilities.
  • Enhances data analysis through integration of machine learning techniques.
  • Provides a user-friendly interface for visualization and management of data workflows.

Abstract

The solution is centered on `HyperLab`, a cross-platform `.NET MAUI` application targeting `.NET 10` and using a Blazor Hybrid host for part of its visualization layer. The application is designed for hyperspectral and spectral data analysis, combining: local file ingestion and parsing, scientific processing and mathematical helpers, ML/statistical workflows such as G-Mode and K-Means, remote operations against an external HyperLab backend, SLab-oriented data management and metadata workflows, rich UI visualization

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Cite This Study

Francesco Carraro (2026) studied this question.

synapsesocial.com/papers/69d0afb4659487ece0fa5c56https://doi.org/10.5281/zenodo.19382487
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