Neural organoids derived from human induced pluripotent stem cells (hiPSCs) offer physiologically relevant models for studying human brain development and neurological diseases. Their spontaneous self-organization allows the formation of neural progenitors, neurons, and glial cel
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                            Neural organoids derived from human induced pluripotent stem cells (hiPSCs) offer physiologically relevant models for studying human brain development and neurological diseases. Their spontaneous self-organization allows the formation of neural progenitors, neurons, and glial cells within a three-dimensional environment. However, their scaffold-free nature causes irregular morphology, high variability, and necrotic core formation due to limited oxygen and nutrient diffusion, which reduces reproducibility and maturation potential. To overcome these issues, scaffold-based approaches provide a controllable microenvironment with mechanical support and improved mass transport. In this work, Voronoids, which are Voronoi tessellation-based hydrogel scaffolds fabricated via micro Digital Light Processing (µDLP), were developed as mesoscale microenvironments for neural organoids. The composite 10% GelMA/10% PEGDMA bioink produced soft hydrogels (3.4–6.6 kPa) with stiffness similar to brain tissue. Three Voronoid designs (V1–V3; porosity 84.6–88.6%) were created to study how architecture and seeding strategy influence cell colonization. Confocal and scanning electron microscopy showed that high-density drop seeding (50,000 cells per Voronoid) resulted in the most even colonization, with deep scaffold infiltration, especially in the highly porous V3 scaffolds. After 90 days, scaffold-based organoids were more uniform, structurally stable, and mechanically stronger than scaffold-free controls, while maintaining high RNA integrity (RINe 9.3–9.5), confirming their suitability for downstream transcriptomic analysis. This work shows that Voronoi tessellation-based hydrogel scaffolds fabricated by µDLP can produce tunable, physiologically relevant microenvironments that improve neural organoid uniformity, stability, and reproducibility, providing a promising platform for future neuromechanobiology and disease modeling studies.