… For VP-SEM or LV-SEM, fractal dimension and entropy values did not present any evident
relation with image quality parameters, but the resolution must be optimized with imaging …

… blocked from contributing to the image. In this article, we show that this approach leads to
noticeably darker background intensity and improved contrast in SEM images. We suggest that …

… SEM image quality while minimizing the time-dependent drift distortion. The exact drift/displacement
between multiple images … between images. Here, we experimentally quantify the CD-…

… We present new algorithms for SEM images analysis focused on quality control of porous …
24bit SEM images typically of size 1024×768. Each nanoparticle occupies an image surface of …

… Instead of using clean images for supervised training, we propose an unsupervised machine
learning-based image quality enhancement framework (uMLIQE) for SEM images. Such a …

… The indices allow for quick and efficient evaluation of FIB-SEM images and coincide well …
and real FIB-SEM image data used, define our indices for image quality evaluation, and …

… to improve the quality (high resolution and high SNR) of a low-quality SEM image using the
… The first approach uses deep learning to reduce SEM noise or improve image quality and …

… Resolution and SNR are the two parameters that quantify the SEM image quality. In this
paper, the influence of the environment temperature on the SEM image quality was analyzed by …

… of SEM images, we propose a texture and semantic IQA (TSIQA) method for SEM images …
The quality assessment experiments on SEM image datasets show that compared with the …

… Good quality and very informative pictures were … image quality dropped significantly due
to signal-to-noise ratio lowering. The resolution of VP-SEM images was lower than the SEM …