Morphospace engineering: Morphological computation in scaffold design

IF 2.1 4区 生物学 Q2 BIOLOGY
Biosystems Pub Date : 2026-01-01 Epub Date: 2025-12-12 DOI:10.1016/j.biosystems.2025.105676
C. Galli , M.T. Colangelo , M. Meleti , S. Guizzardi
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引用次数: 0

Abstract

Scaffold geometry does more than support tissue—it encodes the rules by which matter organizes into function. Morphology operates as a generative constraint, transforming physical configuration into causal instruction. From molecular folding to cellular migration, form computes what matter can become. This work formalizes that principle across scales: using cellular automata as minimal models of morphogenesis and extending the same logic to scaffold design for tissue regeneration. Each scaffold can be described as a point in a high-dimensional morphospace whose axes—curvature, porosity, stiffness, fiber orientation—act as local update rules guiding cell behavior. Within this space, a viability kernel delineates the geometries that sustain growth and differentiation. By treating geometry as computation, bioengineering shifts from designing materials that contain life to shaping forms that generate it—a shape-first paradigm where the causal arrow runs from form to function.
形态空间工程:支架设计中的形态计算。
支架的几何结构不仅仅是支撑组织,它还编码了物质组织成功能的规则。形态学作为一种生成约束,将物理结构转化为因果指令。从分子折叠到细胞迁移,形态决定了物质可以变成什么。这项工作跨尺度形式化了这一原则:使用细胞自动机作为形态发生的最小模型,并将相同的逻辑扩展到组织再生的支架设计中。每个支架可以被描述为高维形态空间中的一个点,其轴-曲率,孔隙率,刚度,纤维方向-作为指导细胞行为的局部更新规则。在这个空间内,生存能力内核描绘了维持增长和分化的几何形状。通过将几何视为计算,生物工程从设计包含生命的材料转变为塑造产生生命的形式——形状优先的范式,其中因果箭头从形式到功能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Biosystems
Biosystems 生物-生物学
CiteScore
3.70
自引率
18.80%
发文量
129
审稿时长
34 days
期刊介绍: BioSystems encourages experimental, computational, and theoretical articles that link biology, evolutionary thinking, and the information processing sciences. The link areas form a circle that encompasses the fundamental nature of biological information processing, computational modeling of complex biological systems, evolutionary models of computation, the application of biological principles to the design of novel computing systems, and the use of biomolecular materials to synthesize artificial systems that capture essential principles of natural biological information processing.
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