Documentation Library
Search and browse 91 IDCubePro 2026 guides extracted from the current application Help files.
Documentation Topics
↥ Import & Data Management
Open and import supported formats, manage datasets, wavelengths, and processing settings.
27 guides →◫ Visualization
Display, navigate, inspect, and adjust hyperspectral images and views.
3 guides →✂ Edit & Preprocess
Prepare datasets by editing geometry, bands, wavelengths, and other preprocessing operations.
3 guides →⌁ Spectral Analysis
Extract, transform, compare, and map spectral information.
12 guides →◌ Filtering & Corrections
Denoise, normalize, correct backgrounds and references, and enhance image or spectral data.
22 guides →▤ Advanced Toolboxes
Dimensionality reduction, quality metrics, measurements, and specialized analysis tools.
11 guides →AI AI & Machine Learning
Clustering, labels, masks, supervised learning, classification, and AI workflows.
10 guides →3D Volumetric Analysis
3D visualization, true-volume processing, smoothing, and volumetric deep learning.
3 guides →Import & Data Management
Open and import supported formats, manage datasets, wavelengths, and processing settings.
Arion Import
Imports an Arion hyperspectral dataset stored as a folder of TIFF
Open Guide →AVI Import
Imports an AVI video and converts its frames into a three-dimensional
Open Guide →Bruker LUMOS Import
Imports corrected Bruker LUMOS spectral imaging data stored in a MAT file.
Open Guide →CSV / TXT Spectral Cube Import
Imports a numeric spectral table stored as CSV or TXT and reshapes it
Open Guide →DICOM Import
Imports a DICOM image series from a folder and converts the slices
Open Guide →ENVI Import
Imports hyperspectral datasets stored in ENVI format using the ENVI
Open Guide →FITS Import
Imports image data stored in FITS format and converts it into an
Open Guide →FLIM SDT Import
Imports Becker & Hickl SDT fluorescence-lifetime imaging data into
Open Guide →GeoTIFF / COG Import
Imports local GeoTIFF and Cloud Optimized GeoTIFF raster files into
Open Guide →HDF5 Import
Imports numeric image or hyperspectral data stored inside an HDF5
Open Guide →Hyperion L1R Import
Imports EO-1 Hyperion L1R hyperspectral data using the ENVI-style
Open Guide →Hyperion TIFF Import
Imports a folder containing Hyperion TIFF image bands and assembles them
Open Guide →Image Stack Import
Creates a 3D IDCube dataset from multiple individual 2D image files.
Open Guide →IVIS Import
Imports IVIS luminescence images from a parent experiment folder and
Open Guide →Landsat 8/9 Import
Imports Landsat 8 or Landsat 9 spectral TIFF bands from a folder and
Open Guide →NetCDF Import
Imports numeric image or multidimensional data from NetCDF or NetCDF4 files.
Open Guide →NIfTI Import
Imports NIfTI medical or scientific image data into IDCubePro.
Open Guide →NITF Import
Imports NITF, NTF, or NSIF imagery into IDCubePro using MATLAB
Open Guide →OME-TIFF Import
Imports OME-TIFF microscopy datasets and interprets multidimensional
Open Guide →PerkinElmer FSM Import
Imports PerkinElmer FSM hyperspectral or FTIR imaging data into
Open Guide →Princeton SPE Import
Imports Princeton Instruments SPE image or spectral-image data
Open Guide →PRISMA HE5 Import
Imports PRISMA hyperspectral satellite data stored in HE5/HDF5 format.
Open Guide →SensIR TIFF Stack Import
Imports a SensIR spectral TIFF stack into IDCubePro.
Open Guide →Sentinel-2 Import
Imports Sentinel-2 spectral JP2 bands from a selected folder and
Open Guide →WITec SPC Import
Imports WITec SPC spectral imaging data and reconstructs the spatial
Open Guide →Zeiss CZI Import
Imports Zeiss CZI multidimensional microscopy data using Bio-Formats.
Open Guide →Processing Settings
Processing Settings controls the spatial processing resolution used when IDCubePro imports selected very large image datasets.
Open Guide →Visualization
Display, navigate, inspect, and adjust hyperspectral images and views.
Colormap Editor
The Custom Colormap Editor creates and edits a 50-position RGB lookup table (LUT) for image display.
Open Guide →Resolution
The Resolution tool reduces the spatial resolution, spectral resolution, or both, of the current hyperspectral datacube.
Open Guide →Zoom & Pan
Zoom / Pan Keyboard Shortcut and Mouse Control Reference
Open Guide →Edit & Preprocess
Prepare datasets by editing geometry, bands, wavelengths, and other preprocessing operations.
Edit Bands & Wavelengths
Edit Bands & Wavelengths lets you manage the spectral axis of the current IDCubePro dataset.
Open Guide →Channel-to-Wavelength Matching
Channel-to-Wavelength Matching assigns physical wavelength values to image channels when the current hyperspectral cube contains channels or band indices that do not yet have a reliable wavelength axis.
Open Guide →Tilt / Shear Correction
Tilt / Shear Correction corrects horizontal geometric skew in a hyperspectral image.
Open Guide →Spectral Analysis
Extract, transform, compare, and map spectral information.
Spectral Matching Explorer
The Spectral Matching Explorer identifies image pixels whose spectra are similar to one or more reference spectra.
Open Guide →Spectral Correlation Explorer
The Spectral Correlation Explorer measures the similarity between hyperspectral bands across an image.
Open Guide →Endmember Explorer
Endmember Explorer identifies representative spectral components in a hyperspectral image and estimates their spatial abundance.
Open Guide →Spectral Feature Mapper
Spectral Feature Mapper identifies a spectral peak or feature from a user-selected image region and maps that feature throughout the hyperspectral image.
Open Guide →Spectral Phasor Explorer
The Spectral Phasor Explorer transforms each hyperspectral pixel spectrum into a point in two-dimensional phasor space.
Open Guide →Spectral Fractal Explorer
Spectral Fractal Explorer measures spatial structural complexity in hyperspectral images using box-counting fractal dimension.
Open Guide →Spectral / Vegetation Indices
Spectral / Vegetation Indices calculates common hyperspectral and remote-sensing indices from the currently loaded IDCubePro datacube.
Open Guide →Spectral Similarity
Spectral Similarity finds pixels whose spectra resemble a reference spectrum selected from a seed ROI.
Open Guide →Spectral Texture Explorer
Spectral Texture Explorer combines spatial texture analysis with hyperspectral imaging.
Open Guide →Extract Spectrum
Extract Spectrum retrieves spectral information from a selected location in the current hyperspectral datacube.
Open Guide →Band Math & Broadband Calculator
Band Math performs arithmetic and mathematical operations between hyperspectral bands or between a band and a broadband image.
Open Guide →Spectral Math
Spectral Math performs mathematical operations on spectra extracted from one or two image regions.
Open Guide →Filtering & Corrections
Denoise, normalize, correct backgrounds and references, and enhance image or spectral data.
Reference Correction
Reference Correction adjusts the hyperspectral cube using white and/or dark reference measurements.
Open Guide →Asymmetric Least Squares
Applies asymmetric least-squares baseline smoothing to spectra.
Open Guide →Decorrelation Stretch
Enhances visual separation between correlated image channels by
Open Guide →FFT Spectral Filtering
FFT spectral filtering operates along the spectral dimension of
Open Guide →Invert Colors
Inverts image intensity values using MATLAB imcomplement.
Open Guide →NGMeet Denoising
Applies NGMeet hyperspectral denoising to reduce noise while
Open Guide →Normalize 0–1
Rescales the working hyperspectral data to a normalized range using
Open Guide →Savitzky-Golay Filter
Savitzky-Golay smoothing reduces high-frequency spectral noise by fitting a low-order polynomial within a moving spectral window.
Open Guide →Spatial Mean Filter
Applies local averaging in the image plane independently for each
Open Guide →Spectral Mean Filter
Smooths each pixel spectrum along the spectral dimension by averaging
Open Guide →SSTV Denoising
Applies spatial-spectral total-variation denoising to reduce noise
Open Guide →Standard Deviation Map
Generates a local spatial-variation map for every spectral band.
Open Guide →Standard Deviation Normalization
Applies the current IDCubePro standard-deviation scaling operation to
Open Guide →Z-Score Normalization
Standardizes the working data using MATLAB normalize with its default
Open Guide →Filtering & Enhancement
IDCubePro 2026 - Filtering & Enhancement Help
Open Guide →Continuum Hull Removal
Continuum Hull Removal normalizes each pixel spectrum by an interpolated convex-hull continuum.
Open Guide →Manual Background Removal
Manual Background Removal estimates a spectral baseline from a user-selected background-only image region and subtracts that baseline from every pixel spectrum in the hyperspectral cube.
Open Guide →Contrast Enhancement
IDCubePro 2026 - Contrast Enhancement Help
Open Guide →SNV
Standard Normal Variate is a spectrum-by-spectrum normalization method widely used in spectroscopy and chemometrics.
Open Guide →MSC
Multiplicative Scatter Correction is a reference-based spectral preprocessing method designed to reduce additive offsets and multiplicative scaling differences between spectra.
Open Guide →Background Spectrum Correction
This tool corrects the current hyperspectral cube by dividing every pixel spectrum by the mean spectrum measured from a user-selected background ROI.
Open Guide →Polynomial Baseline Removal
Polynomial Baseline Removal fits a smooth polynomial independently to every pixel spectrum and subtracts the fitted polynomial from that spectrum.
Open Guide →Advanced Toolboxes
Dimensionality reduction, quality metrics, measurements, and specialized analysis tools.
ICA Compression
ICA Compression reduces the spectral dimensionality of the current hyperspectral dataset using MATLAB Reconstruction Independent Component Analysis (RICA).
Open Guide →PCA Compression
PCA Compression reduces the spectral dimensionality of the current hyperspectral dataset using principal component analysis.
Open Guide →Wavelet Compression
Wavelet Compression reduces the spectral dimensionality of the current hyperspectral dataset using a one-dimensional wavelet transform applied independently to every pixel spectrum.
Open Guide →Anomaly Detection & Removal
Anomaly Detection & Removal identifies pixels whose hyperspectral signatures are unusual relative to the global spectral distribution of the current datacube.
Open Guide →SNR Explorer
The Signal-to-Noise Ratio Explorer measures spectral signal quality across a hyperspectral dataset.
Open Guide →Contrast Maximization
Contrast Maximization identifies wavelengths or wavelength combinations that provide the strongest separation between two user-selected regions in a hyperspectral image.
Open Guide →Image Quality Metrics
Image Quality Metrics evaluates every spectral band of the current hyperspectral cube using one or more no-reference image-quality metrics.
Open Guide →MNF Explorer
The MNF Explorer performs Maximum Noise Fraction analysis of hyperspectral images and provides component visualization, clustering, manual selection, and export tools.
Open Guide →nNMF Explorer
Non-negative Matrix Factorization (nNMF) decomposes a hyperspectral datacube into spatial component maps and corresponding spectral signatures.
Open Guide →PCA Explorer
The PCA Explorer provides visualization, adjustment, clustering, selection, and export of principal-component data.
Open Guide →Measurements
The Measurements tool provides interactive line and region-of-interest measurements directly on the current image display.
Open Guide →AI & Machine Learning
Clustering, labels, masks, supervised learning, classification, and AI workflows.
K-means Clustering
K-means clustering groups hyperspectral data into a user-selected number of clusters based on similarity in the input data.
Open Guide →Deep Learning Studio
Deep Learning Studio trains and applies 3D convolutional neural networks (CNNs) for supervised hyperspectral image classification.
Open Guide →Binary Threshold
Binary Threshold creates a two-class spatial mask from the current IDCubePro display image.
Open Guide →Label Creation
Manual Label Creation lets you create multiclass spatial ground-truth labels by drawing regions of interest (ROIs) on the current IDCubePro display image.
Open Guide →Mask Creation
Manual Mask Creation lets you define spatial regions of interest (ROIs) on the current IDCubePro image and convert them into a mask aligned with the hyperspectral dataset.
Open Guide →Machine Learning Studio
Machine Learning Studio trains supervised pixel classifiers from hyperspectral spectra and a spatial label image.
Open Guide →Band Selection
This tool identifies informative wavelengths using regularized regression.
Open Guide →Region Growing Studio
Region Growing Studio creates connected image regions from user-selected seed locations. Neighboring pixels are added when they satisfy the selected similarity criterion.
Open Guide →Classification Studio
Classification Studio provides supervised spectral classification of hyperspectral images using user-defined training regions.
Open Guide →t-SNE / UMAP Explorer
The t-SNE / UMAP Explorer provides nonlinear dimensionality reduction, visualization, clustering, manual selection, and spatial mapping of hyperspectral image data.
Open Guide →Volumetric Analysis
3D visualization, true-volume processing, smoothing, and volumetric deep learning.
Volumetric AI Studio
Volumetric AI Studio trains and applies a 3D convolutional neural network to segment structures in true X-Y-Z image volumes.
Open Guide →3D Gaussian Smoothing
Applies Gaussian smoothing to the hyperspectral cube using a
Open Guide →3D Viewer
The 3D Viewer provides volumetric visualization, orthogonal slicing, spectral/spatial section views, opacity control, and 3D K-means segmentation of hyperspectral datacubes.
Open Guide →