IDCubePro 2026

Documentation

Guides, workflows, and reference materials for IDCubePro 2026.

Find help for visualization, spectral analysis, machine learning, volumetric workflows, data import, corrections, and more.

?
Help Center
IDCubePro 2026

Start Here

New to IDCubePro 2026? These resources will help you get started quickly.

Documentation Topics

Browse IDCubePro 2026 documentation by workflow.

↥

Import & Data Management

Open datasets, import supported formats, combine cubes, manage wavelengths, save data, and export results.

◫

Visualization

Explore hyperspectral datasets using interactive 2D, 3D, spectral, and volumetric visualization tools.

✂

Edit & Preprocess

Crop, rotate, flip, bin, remove bands, annotate data, and prepare datasets for analysis.

⌁

Spectral Analysis

Analyze spectra using normalization, derivatives, spectral similarity, correlation, and mapping tools.

◌

Filtering & Corrections

Apply spatial and spectral filtering, background correction, flat-field correction, smoothing, and normalization.

▤

Advanced Toolboxes

PCA, clustering, classification, spectral matching, feature extraction, fusion, and specialized analysis workflows.

AI

AI & Machine Learning

Create labels and masks, train models, classify datasets, and build machine-learning workflows.

3D

Volumetric Analysis

Work with 3D datasets, volumetric visualization, segmentation, labeling, and deep-learning workflows.

Built Into IDCubePro 2026

Integrated Help Center

IDCubePro 2026 includes an integrated Help Center with detailed descriptions of tools and workflows directly inside the application. This is the fastest way to access documentation while working with your data.

100+ Help Topics

Using an Earlier Version?

Documentation for IDCubePro 2.79 and earlier IDCube releases is preserved separately.

Legacy Resources

IDCubePro 2.79 Documentation

Access the original documentation library covering file operations, filtering, corrections, toolboxes, machine learning, spectral analysis, and earlier IDCube workflows.

View Legacy Documentation

Need More Help?

Explore tutorials, example datasets, or contact HSpeQ support.