材料科学
数字光处理
微加工
生物医学工程
3D打印
微流控
可视化
个性化医疗
冲程(发动机)
血管造影
快速成型
结构光
血栓形成
纳米技术
3d打印
剪切(地质)
微电子机械系统
激光器
激光烧蚀
计算机视觉
数字图像相关
数字微镜装置
超短脉冲
计算机科学
制作
人工智能
作者
Yunduo Charles Zhao,Zihao Wang,Arian Nasser,Allan Sun,Zhao Wang,Yingqi Zhang,Jianfang Ren,Haimei Zhao,Nicole Alexis Yap,Yinyan Wang,Zhiyong Li,Kenneth Butcher,Freda Passam,Timothy Ang,Lining Arnold Ju
标识
DOI:10.1002/adma.202508890
摘要
Abstract Translating patient‐specific vascular geometries into functional microfluidic devices remains challenging due to fabrication limitations and lengthy processing times. Here, an ultrafast microfabrication platform is introduced using glass‐substrate digital light processing 3D printing for creating patient‐specific carotid artery‐on‐a‐chip devices. The optimized protocol employs treated glass slides as printing substrates and custom‐designed mechanical clamping, reducing manufacturing time from over 10 h to under 2 h with ≈100% success rate. The system accurately reproduces complex anatomical features from CT angiography data of stroke patients, including stenoses, bifurcations, and ulcerations that conventional reconstruction methods often miss. Computational fluid dynamics validation confirms preserved hemodynamic similarity between patient‐scale and chip‐scale geometries, with matched wall shear rates maintaining physiological relevance despite 30‐fold size reduction. The platform supports endothelialization and blood perfusion, enabling real‐time visualization of thrombotic processes. Integration with laser ablation technology allows controlled endothelial injury modeling at patient‐specific vulnerable sites. Quantitative analysis reveals 7–10‐fold higher platelet translocation in the high shear zone (>1000 s −1 ), demonstrating the platform's capability to capture shear‐dependent thrombotic mechanisms. This rapid biomanufacturing approach represents a significant advance in patient‐specific organ‐on‐a‐chip technology, with applications in personalized medicine and vascular device development.
科研通智能强力驱动
Strongly Powered by AbleSci AI