Stay up to-date with the latest imaging, analysis and metrology news from Digital Surf.
MountainsMap® software is the
industry-standard solution for analyzing
profilometry and topography data
MountainsSEM® software is the tool-of-choice
for scanning electron microscope
manufacturers and users around the world
MountainsSPIP® software makes analyzing data
from scanning probe microscopy techniques
quick, accurate and intuitive
MountainsSpectral® software provides cutting-edge tools
for correlative microscopy, spectral analysis,
spectral maps and hyperspectral images
MountainsImage® is a comprehensive image analysis
solution for processing B&W and color images obtained
using light microscopy and other imaging systems
MountainsLab® software is the ideal solution
for labs working with multiple types of
microscopes and profilers
Our main focus is on working as a partner with instrument manufacturers worldwide, in the fields of surface metrology and microscopy. Mountains® software is now offered by the majority of profilometer and microscope manufacturers and is embedded in their equipment or available as an option.
Digital Surf also provides Mountains® software packages directly to instrument users. Mountains® has an installed base of 22,000+ licenses worldwide, is available in 11 languages, supports ISO and national metrology standards and is supplied by 50+ instrument manufacturers.
Application areas include: automotive, materials science, semiconductors, medical, aerospace, MEMS, renewable energy, etc.
Researchers at the Institut de Ciència de Materials de Barcelona characterizied surface texture of superconductor materials with the aim of improving their performance.
Researchers at Purdue and Harvard universities explored fish scale surfaces in 3D using MountainsMap® software.
Dive into our free online surface metrology guide and learn how to characterize surface texture in 2D and 3D using the right parameters and filters
Observing a change in value of 0.1% between two versions of your analysis software does not necessarily mean that there is a bug. In this article François Blateyron discusses why results may vary and good practices to ensure they remain stable.