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.. _key_features:
Key features
============
.. meta::
:description: Key features of DataLab, the open-source data visualization and processing platform for scientists and engineers
:keywords: DataLab, key features, signal processing, image processing, data visualization
This page presents briefly DataLab key features.
.. figure:: ../images/DataLab-Screenshot-Theme.png
DataLab supports dark and light mode depending on your platform settings (this
is handled by the `guidata`_ package, and may be overridden by setting the
`QT_COLOR_MODE` environment variable to `dark` or `light`).
.. _guidata: https://pypi.python.org/pypi/guidata
Data visualization
^^^^^^^^^^^^^^^^^^
====== ====== ====================================
Signal Image Feature
====== ====== ====================================
✓ ✓ Screenshots (save, copy)
✓ Z-axis Lin/log scales
✓ ✓ Data table editing
✓ ✓ Statistics on user-defined ROI
✓ ✓ Markers
.. ✓ Aspect ratio (1:1, custom)
.. ✓ 50+ available colormaps (customizable)
.. ✓ Intensity profiles (line, average, radial)
✓ ✓ Annotations
✓ ✓ Persistance of settings in workspace
.. ✓ Distribute images on a grid
✓ ✓ Single or superimposed views
====== ====== ====================================
Data processing
^^^^^^^^^^^^^^^
====== ====== ===================================================
Signal Image Feature
====== ====== ===================================================
✓ ✓ Process isolation for running computations
✓ ✓ Remote control from Jupyter, Spyder or any IDE
✓ ✓ Remote control from a third-party application
✓ ✓ Sum, average, difference, product...
✓ ✓ Operations with a constant
✓ ✓ Square root, power, logarithm, exponential...
✓ ✓ Average, standard deviation
✓ .. Derivative, integral
✓ ✓ ROI extraction, Swap X/Y axes
✓ .. Semi-automatic multi-peak detection
✓ ✓ Convolution, deconvolution
.. ✓ Flat-field correction
.. ✓ Flip, rotation, scaling...
.. ✓ Intensity profiles (line, average, radial)
.. ✓ Pixel binning
✓ ✓ Linear calibration
✓ ✓ Normalization, Clipping, Offset correction
✓ .. Reverse X-axis
✓ .. Replace X by other signal's Y (calibration)
✓ .. X-Y mode
.. ✓ Thresholding (manual, Otsu...)
✓ ✓ Gaussian filter, Wiener filter
✓ ✓ Moving average, moving median
✓ ✓ FFT, inverse FFT, Power/Phase/Magnitude spectrum, Power Spectral Density
✓ .. Interpolation, resampling
✓ .. Detrending
✓ .. Interactive fit: Gauss, Lorentz, Voigt, polynomial, CDF...
✓ .. Interactive multigaussian fit
✓ .. Frequency filters (low-pass, high-pass, band-pass, band-stop)
✓ .. Windowing (Hann, Hamming...)
.. ✓ Butterworth filter
.. ✓ Exposure correction (gamma, log...)
.. ✓ Restauration (Total Variation, Bilateral...)
.. ✓ Morphology (erosion, dilation...)
.. ✓ Edges detection (Roberts, Sobel...)
✓ ✓ Analysis on custom ROI
✓ .. FWHM, FW @ 1/e²
✓ .. Dynamic parameters (ENOB, SNR...), Sampling period/Rate
.. ✓ Centroid (robust method w/r noise)
.. ✓ Minimum enclosing circle center
.. ✓ 2D peak detection
.. ✓ Contour detection
.. ✓ Circle Hough transform
.. ✓ Blob detection (OpenCV, Laplacian of Gaussian...)
====== ====== ===================================================
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