Key features#
This page presents briefly DataLab key features.
Data visualization#
Signal |
Image |
Feature |
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Screenshots (save, copy) |
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Z-axis |
Lin/log scales |
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Data table editing |
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Statistics on user-defined ROI |
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Markers |
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Aspect ratio (1:1, custom) |
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50+ available colormaps (customizable) |
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Intensity profiles (line, average, radial) |
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Annotations |
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Persistance of settings in workspace |
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Distribute images on a grid |
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Single or superimposed views |
Data processing#
Signal |
Image |
Feature |
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Process isolation for running computations |
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Remote control from Jupyter, Spyder or any IDE |
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Remote control from a third-party application |
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Sum, average, difference, product, ā¦ |
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Operations with a constant |
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ROI extraction, Swap X/Y axes |
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Semi-automatic multi-peak detection |
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Convolution |
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Flat-field correction |
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Rotation (flip, rotate), resize, ā¦ |
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Intensity profiles (line, average, radial) |
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Pixel binning |
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Square root, power, logarithm, exponential, ā¦ |
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Derivative, integral |
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Linear calibration |
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Normalization, Clipping, Offset correction |
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Reverse X-axis |
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Thresholding (manual, Otsu, ā¦) |
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Gaussian filter, Wiener filter |
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Moving average, moving median |
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FFT, inverse FFT, Power/Phase/Magnitude spectrum, Power Spectral Density |
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Interpolation, resampling |
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Detrending |
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Interactive fit: Gauss, Lorentz, Voigt, polynomial, CDF, ā¦ |
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Interactive multigaussian fit |
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Frequency filters (low-pass, high-pass, band-pass, band-stop) |
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Windowing (Hamming, Hanning, ā¦) |
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Butterworth filter |
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Exposure correction (gamma, log, ā¦) |
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Restauration (Total Variation, Bilateral, ā¦) |
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Morphology (erosion, dilation, ā¦) |
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Edges detection (Roberts, Sobel, ā¦) |
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Analysis on custom ROI |
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FWHM, FW @ 1/eĀ² |
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Dynamic parameters (ENOB, SNR, ā¦), Sampling period/Rate |
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Centroid (robust method w/r noise) |
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Minimum enclosing circle center |
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2D peak detection |
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Contour detection |
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Circle Hough transform |
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Blob detection (OpenCV, Laplacian of Gaussian, ā¦) |