Objective: To investigate the effect of osseointegration of kaempferol loaded on the surface of micro-nanomorphic implants in ovariectomized rats.Methods: Titanium flakes were polished to obtain the PT group, anodized and acid-etched to obtain the NT and WNT groups, loaded with kaempferol to obtain the KNT and KWNT groups, and spin-coated on chitosan-gelatin composite film to obtain the KNT-CG and KWNT-CG groups. In vitro experiments were performed to observe the physicochemical properties of the titanium tablets in each group through scanning electron microscopy and contact angle experiments. The cytotoxicity and drug release pattern were observed using CCK-8 and drug release assays. An osteoporosis rat model was established. Pure titanium implants were divided into PT, NT, WNT, KNT-CG, and KWNT-CG groups after the same treatment and used in the in vivo experiments and then implanted in the femur of mice in each group. After 4 weeks, all samples were collected for toluidine blue staining, micro-computed tomography scanning, and bone morphometry analysis to evaluate their osteogenic properties.Results: According to scanning electron microscopy, the surface of the titanium flakes had a micro-nano morphology in the WNT group and the KNT and KWNT groups were functionally loaded with kaempferol. In CCK-8 and drug release experiments, the loaded kaempferol and gelatin composite membranes showed no significant toxic effects on cells. The drug release time in the KNT-CG and KWNT-CG groups was significantly longer than that in the KNT and KWNT groups, with the release time in the KWNT-CG group reaching 15 days. In vivo experiments micro-computed tomography and bone morphometry analysis showed that the osteoporosis model had been successfully constructed. The bone volume fraction around the implant increased. Toluidine blue staining showed new bone formation and a significantly increased number of bone trabeculae.Conclusion: Kaempferol micro-nanocomposite coating improved the osseointegration ability of implants in osteoporotic rats.

Vision-based human-computer interaction (HCI) is a natural and human-centered way to make interaction between human and computer. Recently, with the miniaturization of projectors and the development of embedded systems, there has been an explosion of interest in systems which combine projection technology with computer vision. Associating a projector with a camera offers a cheap means to transform any surface into an interactive display surface. However, it is very hard to segment hand and recognize hand gesture due to self-occlusion, non-rigid tissue, even when the occlusion due to projection content can be avoided. In this paper, a novel approach is proposed to recognize finger stroke under the dynamic illumination circumstances. The approach is based on one projector and two heterogeneous cameras. First, an NIR camera is used to get the finger-tip and hand model, then, the hand model is used to get the interest points of the hand in the visible camera, then we can get the disparity of interest points from the two heterogeneous images. The disparity change is related to the depth change that can be used to determine when stroke event happens. Experiment results from a prototype system show that the approach can run in real-time without using special markers or gloves.