Micro- and nanomorphological modification and roughening of titanium implant surfaces can enhance osseointegration; however, the optimal morphology remains unclear. Laser processing of implant surfaces has demonstrated significant potential due to its precision, controllability, and environmental friendliness. Femtosecond lasers, through precise optimization of processing parameters, can modify the surface of any solid material to generate micro- and nanomorphologies of varying scales and roughness. Inspired by the multiscale micro- and nanostructures of natural bone tissue, this study employed a high-repetition-rate femtosecond laser to fabricate three distinct micro- and nanomorphologies on titanium implant surfaces, characterized by low (LTi), medium (MTi), and high (HTi) roughness, exhibiting multiscale coexistence. Comprehensive characterization of the modified surfaces included analysis of morphology, roughness, wettability, and elemental composition. Furthermore, in vitro and in vivo experiments were conducted to evaluate osteogenic differentiation and osseointegration capabilities. Results revealed that the HTi surface, exhibiting high roughness, presents a multiscale hierarchical micro- and nanostructure composed of micrometer-sized spheres, submicrometer-sized corrugations, and nanometer-sized particles. In vitro studies demonstrated that the HTi surface promoted earlier adhesion, spreading, and enhanced osteogenic differentiation of osteoblasts, while in vivo studies indicated improved bone formation and osseointegration. In conclusion, multiscale hierarchical micro- and nanosurfaces with high roughness generated by high-repetition-rate femtosecond laser processing hold considerable promise for titanium implant applications.
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http://dx.doi.org/10.1021/acsabm.4c01759 | DOI Listing |
ACS Appl Bio Mater
January 2025
Department of Stomatology, Second Affiliated Hospital, Third Military Medical University, Chongqing 400037, P. R. China.
Micro- and nanomorphological modification and roughening of titanium implant surfaces can enhance osseointegration; however, the optimal morphology remains unclear. Laser processing of implant surfaces has demonstrated significant potential due to its precision, controllability, and environmental friendliness. Femtosecond lasers, through precise optimization of processing parameters, can modify the surface of any solid material to generate micro- and nanomorphologies of varying scales and roughness.
View Article and Find Full Text PDFAdv Healthc Mater
January 2025
School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, Shenzhen, Guangdong, 518107, China.
Infectious diabetic wounds pose an arduous threat to contemporary healthcare. The combination of refractory biofilms, persistent inflammation, and retarded angiogenesis can procure non-unions and life-threatening complications, calling for advanced therapeutics potent to orchestrate anti-infective effectiveness, benign biocompatibility, pro-reparative immunomodulation, and angiogenic regeneration. Herein, embracing the emergent "living bacterial therapy" paradigm, a designer probiotic-in-hydrogel wound dressing platform is demonstrated.
View Article and Find Full Text PDFPNAS Nexus
January 2025
Institute for X-ray Physics, University of Göttingen, Göttingen 37077, Germany.
The human placenta exhibits a complex three-dimensional (3D) structure with a interpenetrating vascular tree and large internal interfacial area. In a unique and yet insufficiently explored way, this parenchymal structure enables its multiple functions as a respiratory, renal, and gastrointestinal multiorgan. The histopathological states are highly correlated with complications and health issues of mother, and fetus or newborn.
View Article and Find Full Text PDFSci Rep
January 2025
School of Electronics and Information, Xijing University, Xi'an, 710123, China.
To enhance high-frequency perceptual information and texture details in remote sensing images and address the challenges of super-resolution reconstruction algorithms during training, particularly the issue of missing details, this paper proposes an improved remote sensing image super-resolution reconstruction model. The generator network of the model employs multi-scale convolutional kernels to extract image features and utilizes a multi-head self-attention mechanism to dynamically fuse these features, significantly improving the ability to capture both fine details and global information in remote sensing images. Additionally, the model introduces a multi-stage Hybrid Transformer structure, which processes features at different resolutions progressively, from low resolution to high resolution, substantially enhancing reconstruction quality and detail recovery.
View Article and Find Full Text PDFEcol Appl
January 2025
Division of Natural Resources, Park Operations Department, Cleveland Metroparks, Cleveland, Ohio, USA.
Human-caused conversion of natural habitat areas to developed land cover represents a major driver of habitat loss and fragmentation, leading to reorganization of biological communities. Although protected areas and urban greenspaces can preserve natural systems in fragmented landscapes, their efficacy has been stymied by the complexity and scale-dependency underlying biological communities. While migratory bird communities are easy to-study and particularly responsive to anthropogenic habitat alterations, prior studies have documented substantial variation in habitat sensitivity across species and migratory groups.
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