A modular program for SPM (scanning probe microscopy) data visualization and analysis

Moreover, the status of free software enables to provide source codes to developers and users, that makes the further program improvement easier.

Primarily Gwyddion is intended to help you analyze height fields obtained by means of scanning probe microscopy techniques (AFM, STM, SNOM/NSOM, MFM), however Gwyddion can as well be generally used for any other image and height field analysis.

Gwyddion aims to provide multiplatform modular program for 2D data analysis that could be easily extended by modules and plug-ins.

These are the main features of this software

• merging and immersion of images
• axes scale callibration
• force-distance curve fitting
• simple graph function fitting, critical dimension determination
• mask editting: adding, removing or intersecting with rectangles and ellipses, inversion, extraction, expansion, shrinking
• fast scan axis drift correction
• 1D and 2D FFT filtering
• arbitrary polynomial deformation on xy plane
• automatic xy plane rotation correction
• removal of data under arbitrary mask using Laplace or fractal interpolation
• data correction: spot remove, outlier marking, scar marking, several line correction techniques (median, modus)
• fractal dimension analysis
• intergral transforms: 2D FFT, 2D continuous wavelet transform (CWT), 2D discrete wavelet transform (DWT), wavelet anisotropy detection
• grain statistics: overall and distributions of size, height, area, volume, boundary length, bounding dimensions
• grains: threshold marking and unmarking, watershed marking
• ISO roughness parameter evaluation
• row/column statistical quantities plots
• statistical quantities calculated from area under arbitrary mask
• statistical functions: Ra, RMS, projected and surface area, inclination, histograms, 1D and 2D correlation functions, PSDF, 1D and 2D angular distributions, Minkowski functionals, facet orientation analysis
• general convolution filter with user-defined kernel
• filtering: mean, median, conservative denoise, Kuwahara, minimum, maximum, checker pattern removal
• profiles: profile extraction, measuring distances in profile graph, profile export
• value reading, distance and angle measurement
• leveling: plane leveling, profiles leveling, three-point leveling, facet leveling, polynomial background removal, leveling along user-defined lines
• basic operations: rotation, flipping, inversion , data arithmetic, crop, resampling
• easily editable color maps and OpenGL materials
• OpenGL 3D data display: false color or material representation
• shaded, logarithmical, gradient- and edge-detected, local contrast representation, Canny lines
• visualization: false color representation with different types of mapping

· tip modelling, blind estimation, dilation and erosion