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The Rho kinase inhibitor fasudil exerts neuroprotective effects. We previously showed that fasudil can regulate M1/M2 microglia polarization and inhibit neuroinflammation. Here, the therapeutic effect of fasudil on cerebral ischemia‑reperfusion (I/R) injury was investigated using the middle cerebral artery occlusion and reperfusion (MCAO/R) model in Sprague‑Dawley rats. The effect of fasudil on the phenotype of microglia and neurotrophic factors in the I/R brain and its potential molecular mechanism was also explored. It was found that fasudil ameliorated neurological deficits, neuronal apoptosis, and inflammatory response in rats with cerebral I/R injury. Fasudil also promoted the polarization of microglia into the M2 phenotype, in turn promoting the secretion of neurotrophic factors. Furthermore, fasudil significantly inhibited the expression of TLR4 and NF‑κB. These findings suggest that fasudil could inhibit the neuroinflammatory response and reduce brain injury after I/R injury by regulating the shift of microglia from an inflammatory M1 phenotype to an anti‑inflammatory M2 phenotype, which may be related to the regulation of the TLR4/ NF‑κB signal pathway.

High-precision matching of spatial poses is the key to ensuring the assembly performance of complex three-dimensional devices. The human eye cannot directly judge the three-dimensional pose of mesoscale devices, and high-precision observation instruments are needed to assist accurate judgment, ensuring smooth assembly. In this paper, based on the three-dimensional assembly system of micro-devices of confocal microscope, it is difficult to realize the problem of assembly alignment of spatial poses in the existing methods, this focuses on solving the problem of how to perform high-precision pose matching by using point cloud data measured through the confocal microscope.A new method for directly performing alignment of three-dimensional poses is proposed. The principle of point cloud registration ICP algorithm is studied, and the theory of point cloud axis hole registration theory is carried out.A neural network about the mapping relationship between the angle calculated by the RT matrix obtained by ICP algorithm and the theoretical angle is constructed. The comprehensive assembly accuracy of the whole method is analyzed to be 2.41μm. Finally, the actual experiment was carried out through the standard hole axis of 3μm for the single-edge gap and assembled successfully.