Listen and learn about Image Processing Software from our SPIP tutorials

Use your license optimally and get accurate results faster

The tutorials have been divided into three categories ”General tools and options”, ”Correction and noise reduction" and ”Analysis and inspection”. In each category there are three types of tutorials according to their length and complexity. Links to most introductory tutorials are also found on the Welcome screen in SPIP™

Short introductory

Quick tips and tricks

Longer in-depth explanatory

This group of tutorials covers the fundamental concepts in SPIP™ and the tools and options used across different analysis and processing functions: How the user interface works, zooming, various ways of opening data, color scale adjustments, how to customize views, inspection tools, Quick Launch etc..

Learn how to get started analyzing images with SPIP™ in 2 minutes: Quick introduction to levelling, cross section profiling and 3D visualization (Intro Tutorial 1)

Learn how to create an automatic processing script and how to apply it on the selected image or on a series of images and generate a report. (Intro Tutorial 11)

See how the QuickLaunch concept let you work faster by the use of your own saved processing and analysis settings. (Tip Tutorial 1)

See how to stitch or concatenate cross section profiles from neighboring images (Tip Tutorial 2)

In this video you will get an introduction to basic concepts in the SPIP™ software: How the ribbon user interface adapts to your workflow, how to zoom and pan simultaneously in multiple images, how to browse multi-channel SPM images and how to open selected channels, how to apply different color scales and how to do it for all images and finally how to change fonts and colors for publication output. (Explanatory Tutorial 2)

In this video you will learn all about cross section profiling  including drawing multiple cross sections, aligning in X or Y, using cursors for measurements, averaging profiles over an area, synchronizing profiles across images and comparing profiles from different images, making free form profiles from detected fibers, and finally how to set the axis scaling and look in the profile window. (Explanatory Tutorial 5)

Learn how to create impressive 3D visuals of your images including overlaying with another image and how to use the manipulation short cuts to quickly inspect your surface from different angles and at different magnifications. Finally you will be introduced to how to make 3D animation videos. (Explanatory Tutorial 1)

In this group, tutorials on correcting and improving data are found.  This includes plane correction (levelling, flattening, brightness correction), scaling, noise filtering, spike removal, feature enhancement by filters or by correlation averaging. This group also covers the unique calibration and linearity analysis and correction features in SPIP™.

Learn how to easily remove noise artifacts such as streaks caused by debris moving around and how to retouch images to remove unwanted particulates.(Intro Tutorial 5)

Learn how to calculate the unit cell constants from an image of a calibration grid. In this video we also show how to assess the linearity of your SPM, all according to the ISO 11952:2014 standard. (Intro Tutorial 8)

Weak structures which are repeated several times in an image can be enhanced using the unique Correlation Averaging feature in SPIP™. See how in this video. (Intro Tutorial 10)

All SPM images and images from 3D profilers require a minimum of plane correction or flattening in order to compensate for tilt or vertical drift or jump artifacts. Learn when to use which plane correction option and why. (Explanatory Tutorial 3) 

In this video we show how to achieve optimum plane correction results using height masking and area masking, and using some of the automatic options in SPIP™. We will also introduce the Plane Correction dialog and how to make settings which can be used from QuickLaunch.  (Explanatory Tutorial 4)

This group of tutorials covers the analysis functions in SPIP™, for example evaluation of roughness, particle analysis, roughness analysis, Fourier (FFT), force and spectroscopy curve analysis. Some analysis tools more targeted towards image improvement are described in the Correction & Noise Reduction category.

Learn how to separate particles or pores from the background and how to calculate and visualize particle size distributions using SPIP (Intro Tutorial 2)

Learn how to calculate roughness from height images from AFMs, profilers or other 3D surface measurement tools, and how to apply appropriate filtering according to ISO standards (Intro Tutorial 3)

In this tutorial we show how to calculate the roughness of a collection of surface profiles according to the ISO 4287 and ISO 13565-2 standards using the correct filters and cut offs and how to report the results. (Intro Tutorial 4)

This video will introduce you to force curve analysis in SPIP™ and will demonstrate how to calculate the Young’s modulus from a set of force curves by fitting the Hertz model. (Intro Tutorial 6)

See how to inspect force volume image using force curve makers and how to correct an entire force map and calculate for example the Young’s modulus map using the Hertz model. (Intro Tutorial 7)

Learn how to perform Fourier transformation and Fourier filtering in SPIP™ and how to accurately measure unit cells using SPIP™’s unique interactive Fourier tools. (Intro Tutorial 9)

In this video you will get a brief introduction to blind tip reconstruction in SPIP™ (Intro Tutorial 12)