I used the software Mountains8 of the SEM JSM-IT 500 (JEOL company) to create the 3D reconstructed images. Because my field is in MIcrobiology and for first time I tried to measure roughness I have some questions:
1. In the software there are three option to create the 3D reconstructed from 1 SEM image, 2 SEM images and 4 SEM images. I do not know for reconstruction 3D images form 2 or 4 images I have to have 2 or 4 different SEM images from a sample surface or these 2 or 4 images should be the same?
2. I took the SEM images without any title but in the software there is an option to select the tilt that starts from 1°, with change of angle the roughness aslo is changed. How can I select the angle? and what is for?
3. What are the meaning of Sa, Sq and Sz?
Thank you.
Hello,
to learn start here (there is also a help function):
https://www.digitalsurf.com/software-solutions/scanning-electron-microscopy/
https://www.digitalsurf.com/video-tutorials/3d-reconstruction-from-a-stereo-pair-of-sem-images/
https://www.digitalsurf.com/video-tutorials/3d_reconstruction_from_4_sem_images_with_mountains_software/
There are a lot of explanations of surface roughness parameters, such as Sa, Sq and Sz on the web, for example:
https://www.olympus-ims.com/en/metrology/surface-roughness-measurement-portal/evaluating-parameters/
Obtaining 3D model of surface with SEM is not a trivial task. Read carefully explanations for your software. You do need to get at least 2 pictures with difference in tilt angle about 6-10 degrees (depending on topography of your specimen).
Just one additional comment here : make sure that you acquire two pictures, tilted 6° (increase angle for smooth surfaces) whose centers are centered on the same feature. If your pictures are shifted in X or Y, it will be more difficult to obtain good stereology results. Plus, the final common area will be smaller.
Also adapt magnification to the apparent roughness of the sample : using too low a magnification on smooth surface will make X and Y scales too large vs. Z (roughness), and you will not get relevant stereo pairs.
To measure the surface roughness of 3D reconstructed SEM images, you can use various software and image analysis tools, such as ImageJ, Fiji, or MATLAB. Steps:
The specific steps and software used will depend on the type of sample and surface being analyzed, as well as the specific roughness parameters of interest.
At UniTechLink Inc, we help scientists and researchers with analyzing their lab results (e.g. SEM images). Please check out our website.
Hello, I also agree that it can be studied using ImageJ. Here is a video tutorial I found in YouTube.
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