The digital processor for experimental image data: Analyzer

In this page, we introduce to you a function of the Analyzer (the digital processor for experimental image data), estimating a shape of the tip and removing noises caused by defects of the tip.
We link items representing examples of calculations to other web pages below.
Following these links and jumping into the other web pages, you can find movie files and documents that explain you how to use the Analyzer.
Using these contents in an effective manner, you can learn how to use the Analyzer.

Estimating a shape of the tip and removing noises caused by defects of the tip

According to the blind tip reconstruction method, the Analyzer estimates a shape of the tip from image data obtained by the SPM experiments.
From information about the shape of the tip, the Analyzer removes artifacts from the original image of the SPM experiment.

Examples: please choose an example that helps you to perform your task from the following list:

From an AFM image of an artificial three-dimensional solid model obatined by a broken double tip, estimating a shape of the tip and removing artifacts caused by the defects of the tip from the original AFM image

From an image obtained by the SPM experiment, estimating a shape of the tip and removing artifacts caused by the defects of the tip from the original SPM image

Documents

• We describe examples of how to estimate shapes of the tips from image data of the SPM experiments with the Analyzer in the tutorial.
• We explain details of how to estimate shapes of the tips from image data of the SPM experiments with the Analyzer in the guidebook.

If you cannot find a simulation that you want to perform from the above list, please contact us by e-mail.
When you send an e-mail to us, a string of characters is put into a subject of the e-mail automatically.
This string tells us at which stage of the simulation you have a trouble.

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