Rapid model-guided design of organ-scale synthetic vasculature for biomanufacturing
Zachary A. Sexton, Andrew R. Hudson, Jessica E. Herrmann, Dan J., Shiwarski, Jonathan Pham, Jason M. Szafron, Sean M. Wu, Mark Skylar-Scott,, Adam W. Feinberg, Alison Marsden

TL;DR
This paper presents a rapid, model-driven pipeline for designing and printing synthetic vasculature in complex, organ-scale geometries, significantly advancing biomanufacturing capabilities.
Contribution
It introduces a novel, accelerated optimization and simulation pipeline for synthetic vascular network generation suitable for complex organ geometries.
Findings
Vascular networks can be generated in minutes for complex geometries.
The pipeline accelerates vascular generation by over 230-fold.
Synthetic vasculature enables perfusion in various biofabricated tissue models.
Abstract
Our ability to produce human-scale bio-manufactured organs is critically limited by the need for vascularization and perfusion. For tissues of variable size and shape, including arbitrarily complex geometries, designing and printing vasculature capable of adequate perfusion has posed a major hurdle. Here, we introduce a model-driven design pipeline combining accelerated optimization methods for fast synthetic vascular tree generation and computational hemodynamics models. We demonstrate rapid generation, simulation, and 3D printing of synthetic vasculature in complex geometries, from small tissue constructs to organ scale networks. We introduce key algorithmic advances that all together accelerate synthetic vascular generation by more than 230-fold compared to standard methods and enable their use in arbitrarily complex shapes through localized implicit functions. Furthermore, we…
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Taxonomy
Topics3D Printing in Biomedical Research · Electrospun Nanofibers in Biomedical Applications · Tissue Engineering and Regenerative Medicine
