限制
可扩展性
渗透(认知心理学)
组织工程
各向异性
血管网
资源(消歧)
生物医学工程
计算机科学
分布式计算
纳米技术
材料科学
物理
神经科学
生物
工程类
计算机网络
解剖
机械工程
量子力学
数据库
作者
Alex Lammers,Heng‐Hua Hsu,Subramanian Sundaram,Keith A. Gagnon,Sudong Kim,Joshua H. Lee,Yi‐Chung Tung,Jeroen Eyckmans,Christopher S. Chen
出处
期刊:Matter
[Elsevier]
日期:2024-04-23
卷期号:7 (6): 2184-2204
被引量:5
标识
DOI:10.1016/j.matt.2024.04.001
摘要
Summary
Tissue engineering has long sought to rapidly generate perfusable vascularized tissues with vessel sizes spanning those seen in humans. Current techniques such as biological 3D printing (top-down) and cellular self-assembly (bottom-up) are resource intensive and have not overcome the inherent tradeoff between vessel resolution and assembly time, limiting their utility and scalability for engineering tissues. We present a flexible and scalable technique termed SPAN (sacrificial percolation of anisotropic networks), where a network of perfusable channels is created throughout a tissue in minutes, irrespective of its size. Conduits with length scales spanning arterioles to capillaries are generated using pipettable alginate fibers that interconnect above a percolation density threshold and are then degraded within constructs of arbitrary size and shape. SPAN is readily used within common tissue engineering processes, can be used to generate endothelial cell-lined vasculature in a multi-cell type construct, and paves the way for rapid assembly of perfusable tissues.
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