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ImageLab
Hyperspectral Image Processing Software for THz Imaging Data

Spezifikationen

Advanced Features and Benefits:

NEW one-of-a-kind image processing tool
Based on statistical methods
Analysis of THz and other spectroscopic image data
Flexible data import
Pre-processing, analysis, visualization, and highlighting of information

Basic Edition	Extended Edition	Database Edition (coming soon)
Detection of suspicious pixels	4D data model	User-definable spectral databases
Image stack	64-bit architecture	Support of third-party databases
Basic set of mathematical methods	Multi-sensor support	Library search
Vertex component analysis	ImageLab script automation
Principal component analysis	KNN classifiers
Cluster analysis	Random forest classifiers
PLS discriminant analysis	Multiprocessing support
Similarity maps
Baseline correction
Spectral descriptors
3D image display
Maximum noise fraction transform

Beschreibung

ImageLab is a one-of-a-kind image processing tool for the analysis of data from various spectroscopic imaging techniques such as THz, optical, UV/VIS, IR, Raman, or mass spectrometry. Based on multivariate statistical methods it enables the user to analyze and classify acquired hyperspectral images, to merge them with maps of physical properties and to overlay them with conventional high-resolution color photos. A chemometrics toolbox, visualization of the image data and highlighting of analytical information round up the software package to an indispensable instrument for in-depth analysis of spectroscopic image data.

ImageLab is now part of Menlo Systems’ imaging extension TERA Image. Ask us for possibilities to upgrade your THz imaging system with our unique software tool!

Manufacturer information: www.imagelab.at

FREE trial license available here.

Optionen

TERA Image Extension Unit

Product Code: TERA Image

For THz imaging applications our fully automated extension TERA Image can be integrated.
ImageLab: Extended Edition THz Image Analysis

Product Code: ImageLab

Hyperspectral Image Processing Software for THz Imaging Data

Antenna and chip structure in a key card

Photo and transmitted THz signal distribution, selected for the spectral range of 1.5 – 2.5 THz:

The microchip, antenna windings, and the wiring are visible due to the increased image resolution of the high-frequency range.

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K-means cluster analysis ClassMap (k = 8):

The k-means algorithm breaks down the input data set into k partitions (culsters). The picture below shows an automatic analysis of the 0.7-2.1 THz region. Due to different diffraction of linearly polarized THz radiation the vertically and horizontally oriented structures of the antenna induce different spectral properties. The different material components of the key card such as plastic, semiconductor chip, or metal are clearly recognized.

Identification of biomolecules

Photo of a sample consisting of three different biomolecules, α-lactose, L-tyrosine, L-glutamine, and transmitted THz signal distribution, filtered for the range of 1.5 - 2 THz:

Despite comparable thickness of each layer, the different sample regions exhibit different transmission intensity.

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