The digital processor for experimental image data: Analyzer


In this page, we introduce to you Analyzer, the digital processor for experimental image data.
We link items representing various functions of the Analyzer to other web pages below.
Following these links and jumping into the other web pages, you can find examples of calculations for the functions of the Analyzer.
In each example of the calculation, you can obtain a movie file and documents that explain how to use the software.
Using these contents in an effective manner, you can learn how to use the Analyzer.

The Analyzer can read image data output by instruments for the SPM experiments in direct and draw them on windows of your personal computers.
The Analyzer can correct errors of image data obtained by experiments according to the technologies of neural network learning.
The Analyzer can estimate a shape of the tip from experimental data and remove artifacts from SPM images.
The Analyzer can adjust contrast of image data and perform other various digital processing for experimental images.
Utilizing these functions in an effective manner, you can compare images obtained by numerical simulations and images produced by the SPM experiments, you can examine whether or not the simulations are appropriate, and you can estimate structures of sample materials precisely.


Examples: please choose a function that enables you to perform your task from the following list:

Reading experimental data, correcting a tilt of a plate where a sample material is put, and drawing image data in 3D

The Analyzer supports file formats from instrument manufactures all over the world.
The Analyzer reads binary data output by SPM instruments in experiments, corrects the tilt of the plate where the sample material is put, and draws the image data in 3D.

The Fourier transformation of image data

The Analyzer can perform the Fourier analyses for image data obtained by the SPM experiments.
The Analyzer can perform the Fourier filtering to amplify specific frequency components for image data.

Changing the original image into a high resolution image

According to the Lanczos interpolation, the Analyzer can change the original images obatined by the SPM experiments into high resolution ones.

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.

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.

Image binarization

Setting a threshold value, the Analyzer converts an original image of the SPM experiment into a black and white image.

Adjusting contrast of an image

The Analyzer adjusts contrast of an image obtained by the SPM experiment with gamma correction.
Using this function, the Analyzer can clarify small bumps on the surface of the sample in the image obtained by the SPM experiment.

Edge detection

Using the Sobel filter, the Analyzer detects edges of a image obtained by the SPM experiment.
The Anlyzer creates a new image where edges are amplified.

Noise reduction

Using the median filter, the Analyzer removes small noises in an image obtained by the SPM experiment.

Showing a cross section

Indicating a start point and an end point, you can obtain a cross section betwen them with the Analyzer.

Calculating an angle from three points

On an image obtained by the SPM experiment, indicating three points, A, B, and C, you can obtain lengths of lines, AB and BC, and an angle between the two lines with the Analyzer.

Documents

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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