An automated vertical drift correction algorithm for AFM images based on morphology prediction.

The atomic force microscope (AFM) has become a powerful tool in many fields. However, environmental noise and other disturbances are very likely to cause the AFM probe to vibrate, which lead to vertical drift in AFM imaging and limit its further application. Therefore, to correct image distortion caused by vertical drift, a morphology prediction based image correction algorithm is proposed in this paper. Specifically, a Gaussian-Hann filter is first designed for distorted AFM images, based on which, an adaptive image binarization algorithm is developed to achieve accurate object detection and background extraction. Furthermore, an advanced morphology prediction algorithm, consisting of morphological approximation prediction and morphological detail prediction, is proposed to correct image distortion by using the extracted substrate of a sample image. Approximate morphology is generated by an improved weighted fusion autoregressive model, and morphological detail is obtained by energy analysis based on discrete wavelet transform. Experimental and application results are presented to illustrate that the proposed algorithm is able to effectively eliminate vertical drift of AFM images.

A high-speed atomic force microscopy with super resolution based on path planning scanning.

An atomic force microscopy generally adopts a raster scanning method to obtain the image of the sample morphology. However, the raster method takes too much time on the base part without focusing enough on the object, thereby restricting the scanning speed of an AFM. To solve this problem, this paper proposes a novel path planning based scanning method to achieve high-speed scanning with super resolution for AFMs. Specifically speaking, a fast scanning process is first carried out to generate a low-resolution image with less time, then a convolutional neural network is designed to construct a super-resolution image based on the fast scanning image. Afterwards, an advanced detection algorithm is proposed to achieve the accurate object detection and localization. Furthermore, an improved ant colony optimization algorithm is proposed to realize the path planning for scanning the objects with high quality, whose imaging result is then matched with the previous super-resolution image to construct the entire sample image, thus achieving fast scanning with super resolution. Experimental and application results demonstrate the good performance of the proposed scanning method.

The effect of exercise on cervical radiculopathy: A systematic review and meta-analysis.

BACKGROUND: Cervical radiculopathy (CR), which is most often stems from degenerative disease in the cervical spine, has increasingly become a common and frequently occurring disease in clinic due to the popularity of electronic products, such as computes and cell phones. Some studies have shown that exercise or exercise combined with other treatments can effectively decrease pain and improve functional status. The objective was to analyze the effects of exercise for treating patients with CR. METHODS: Seven databases were searched from inception to December 2018. Randomized controlled trials involving exercise alone or exercise combined with conventional treatment were enrolled. Data were pooled after trials quality assessment for meta-analysis. Outcomes were pain (visual analog scale [VAS]), quality of life (12-short form health survey, 36-short form health survey), and physical function accessed by neck disability index (NDI). RESULTS: Ten studies involving 871 participants with CR were included. Meta-analysis revealed that compared with control group, there was a reduction in VAS (standardized mean difference = -0.89; 95% confidence interval [CI]: -1.34 to -0.44; Z = 3.89; P < .001). There was also an improvement of NDI (mean difference = -3.60; 95% CI: -6.27 to -0.94; Z = 2.65; P = .008)]. Additionally, although the results of subgroup analyses were changed due to the paucity of the quantity and quality of the included studies. The pooled results were verified to be stable by sensitivity analyses. Besides, the grading of recommendations assessment, development, and evaluation level of evidence is low for each outcome. CONCLUSION: Exercise alone or exercise plus other treatment may be helpful to patients with CR. However, exercise option should be carefully considered for each patient with CR in accordance with their different situations. Large-scale studies using proper methodology are recommended.