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), correcting images with the technologies of neural network learning.
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.

Correcting images according to the technologies of neural network learning

Using the technologies of neural network learning, the Analyzer examines characteristics of an SPM image drawn by the tip in the experiment.
According to the characteristics obtained, the Analyzer removes artifacts caused by defects of the tip from the original SPM image.

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

Performing the neural network learning for an AFM image of a collagen molecule, and removing artifacts of the image caused by defects of a broken double tip

Documents

• We describe examples of how to perform the neural network learning for SPM images with the Analyzer in the tutorial.
• We explain details of how to perform the neural network learning for SPM images 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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