Welcome to the hsi-wizard documentation!

Welcome to the hsi-wizard package! Designed primarily for medical hyperspectral imaging and bioinformatics workflows, this Python package provides a straightforward environment for hyperspectral imaging (HSI) analysis, supporting everything from basic spectral analysis to advanced machine learning and AI methods. Whether you’re working with raw sensor data or pre-processed datasets, hsi-wizard offers a suite of tools to simplify and enhance your analysis workflow.

If you’re new here, the best place to start is the wizard page, where you’ll find detailed instructions on how to begin.

Wizard

• Overview
• Installation
• Comparison with with Existing Tools
• Geospatial limitation
• Contributing

Modules

• Core
  • DataCube
  • DataCube Operations
• Processing
  • spectral
  • cluster
• Exploration
  • Plotter
  • Surface Plotter
• Utilities
  • helper
  • decorators
  • loader

Examples

• First Steps
  • Create a DataCube
  • Read & Write a DataCube
  • Plot DataCube
• DataCube Methods
  • Resize
  • Remove Background
  • Merge Cubes
• Process DataCube
  • Kmeans
  • Smooth Kmeans
  • Isodata
  • Spectral Spatial Kmeans
  • Spatial Agglomerative Cluster
  • PCA
  • Smooth
• Use Template
  • Use and Create Template
• Read World Examples
  • HeiPorSPECTRAL

References

• Publications

Further Resources

For additional information, FAQs, and to contribute, visit the GitHub Repository.