  Scanning electron microscopy (SEM) has been widely utilized in the field of
materials science due to its significant advantages, such as large depth of
field, wide field of view, and excellent stereoscopic imaging. However, at high
magnification, the limited imaging range in SEM cannot cover all the possible
inhomogeneous microstructures. In this research, we propose a novel approach
for generating high-resolution SEM images across multiple scales, enabling a
single image to capture physical dimensions at the centimeter level while
preserving submicron-level details. We adopted the SEM imaging on the
AlCoCrFeNi2.1 eutectic high entropy alloy (EHEA) as an example. SEM videos and
image stitching are combined to fulfill this goal, and the video-extracted
low-definition (LD) images are clarified by a well-trained denoising model.
Furthermore, we segment the macroscopic image of the EHEA, and area of various
microstructures are distinguished. Combining the segmentation results and
hardness experiments, we found that the hardness is positively correlated with
the content of body-centered cubic (BCC) phase, negatively correlated with the
lamella width, and the relationship with the proportion of lamellar structures
was not significant. Our work provides a feasible solution to generate
macroscopic images based on SEMs for further analysis of the correlations
between the microstructures and spatial distribution, and can be widely applied
to other types of microscope.
