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.

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.

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.