Alignment of bone cells and collagen matrix is closely related to the anisotropic mechanical properties of bone. Intact scaffolds that promote osteoblast differentiation and mineralization in the preferred direction offer promise in the generation of biomimetic bone tissue. In this study, we examined the alignment of osteoblast-like cells and collagen fibers guided by nanogrooves. Nanoscale groove-ridge patterns (approximately 300 nm in periodicity, 60-70 nm in depth) on the surface of polystyrene (PS) were made by polarized Nd:YAG laser irradiation, at a wavelength of 266 nm. The influence of such "nanoscale features" on the orientation and alignment of cells and their mineralized collagen matrix was investigated, using rabbit mesenchymal stem cell (MSC)-derived osteoblast-like cells. The cells and actin stress fibers were aligned and elongated along the direction of the nanogrooves. In addition, the alignment of collagen matrix was also influenced by underlying nanogrooves. The results suggested that nanoscale fibrous cues in the longitudinal direction might contribute to the aligned formation of bone tissue. This may provide an effective approach for constructing biomimetic bone tissue.

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Biomaterial surface chemistry and nanoscale topography of biomaterials can significantly influence cell behavior in vitro. Polystyrene (PS) Petri dishes were subjected to Nd:YAG laser irradiation at 266 nm, which resulted in well-defined three-dimensional (3D) periodic nanoscale surface topographies and surface oxidation. The surface changes were analyzed by X-ray photoelectron spectroscopy (XPS), atomic force microscopy (AFM), and a contact-angle goniometer. The samples were then used to investigate the cell behavior of Chinese hamster ovary (CHO) cells. The surface laser modification affected the CHO cell adhesion and alignment, and caused morphological changes in comparison with unmodified PS. The results obtained from the cell-behavior studies revealed that nanoscale hydrophilic surface topography cues affected the adhesion, extension, alignment, and morphology of cells.

We propose a genetic local search algorithm (GLSA) for the optimization design of diffractive optical elements (DOE's). This hybrid algorithm incorporates advantages of both genetic algorithm (GA) and local search techniques. It appears better able to locate the global minimum compared with a canonical GA. Sample cases investigated here include the optimization design of binary-phase Dammann gratings, continuous surface-relief grating array generators, and a uniform top-hat focal plane intensity profile generator. Two GLSA's whose incorporated local search techniques are the hill-climbing method and the simulated annealing algorithm are investigated. Numerical experimental results demonstrate that the proposed algorithm is highly efficient and robust. DOE's that have high diffraction efficiency and excellent uniformity can be achieved by use of the algorithm we propose.