The following table gives a quick overview of the features which are available in the various versions of Epina ImageLab.
Feature |
Epina ImageLab Basic |
Epina ImageLab Extended |
Epina ImageLab Database |
Epina ImageLab Enterprise Edition |
More Infos |
User Interface in Different Languages currently English and German are supported |
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Automatic Updates Epina ImageLab checks whether a newer version is available and downloads the new version from the Epina ImageLab server. |
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3D Display of Images Rotatable 3D surfaces indicating the intensity distribution in 3D |
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Image Stack The image stack allows to blend up to eight different images. |
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Bookmarks Bookmarks allow to remember spectra at particular positions and to quickly navigate to these locations. |
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Detection of Suspicious Pixels Suspicious pixels are pixels with no signal, noise only, or uncorrelated ones. |
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Path Length Measurement You can measure the length of an irregular path or the area of a closed path. |
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Principal Component Analysis PCA score plots and the cluster analysis of the loadings will uncover hidden information your data contains. |
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Maximum Noise Fraction Transform MNF allows to detect and reduce noise in images. |
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Vertex Component Analysis The best method to detect pure components in your data. |
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Similarity Maps Detect spectroscopically similar regions in your image. |
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Cluster Analysis Hierarchical cluster analysis resulting in a dendrogram which can be used to assign classes. |
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K-Means Clustering Both standard k-means and fuzzy-c-means clustering. |
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PLS Discriminant Analysis Create classifiers to detect regions of particular interest in your images. |
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Image Preprocessing All kinds of basic procedures (e.g. spatial and spectral filtering, scaling of the data, mathematical transformations, etc. |
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Baseline Correction Three methods are available: polynomials, penalized splines and the Lieber algorithm |
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Spectral Descriptors Spectral descriptors form the basis to fight the curse of dimensionality and to increase the selectivity of chemeometric models. |
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Derivative Spectra Smoothed 1st and 2nd derivatives |
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Spike Detection and Removal The detection and removal of spikes is especially important in Raman imaging which is prone to spikes originating from cosmic rays. |
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Smoothing of Spectra Moving average, weighted average, polynomial smoothing, moving median |
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Fourier Analysis of Spectra Utilize the power of FFT (Fast Fourier Transform) to analyse your spectra. |
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Chemical Maps You apply mathematical transformations to your data to create images showing selective information |
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Atmospheric Compensation Use this tool to remove unwanted CO2 or H2O bands from the spectra. |
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Multiprocessing Epina ImageLab supports multiprocessing to speed up the calculations. |
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Chartbook Display calculated diagrams in up to 8 charts. |
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4D Data Model The imaging data are stored in four dimensions: spatial [X,Y], spectral and time (or depth) |
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Pixel Attribute Editor A tool to assign attributes to individual pixels. |
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Particle Detection A toolset for the automatic detection of particles. |
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Spectral Collections A useful tool for paying special attention to inidividual pixels of an image |
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64-bit Architecture The size of the data cube is no longer limited to 2 GByte (which is typical for 32 bit systems) but is limited by the locally installed RAM only |
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Epina ImageLab Script Automation A flexible and powerful script language allows to automate your everyday tasks |
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User-defined Action Buttons Allows you to define buttons which are assigned to specific scripts |
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KNN Classifiers KNN classifiers comprise high-performing non-linear classification methods. |
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Random Forest Classifiers Use the powerful random forest method to create classifiers. |
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Multisensor Support You can combine up to four spectroscopic methods for the same dataset |
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FFT-based Spectral Filtering Design any kind of filter to remove artifacts from your spectra. |
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User Definable Spectral Databases Collect your own spectral data and compile them into a searchable database. |
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Support of Third-Party Databases Obtain spectral databases from third parties and utilize these databases in Epina ImageLab. |
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Library Search A powerful library search engine will support you in identifying unknown spectra |
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