Related Experiment Video
Updated: Jun 5, 2026

Stepwise Cell Seeding on Tessellated Scaffolds to Study Sprouting Blood Vessels
Published on: January 14, 2021
Seeding density matters: extensive intercellular contact masks the surface dependence of endothelial cell-biomaterial
Yun Xia1, Melissa Prawirasatya, Boon Chin Heng
1School of Materials Science and Engineering, Nanyang Technological University, 50 Nanyang Avenue, Nanyang, 639798, Singapore.
Abstract:
The effects of seeding density have often been overlooked in evaluating endothelial cell-biomaterial interactions. This study compared the cell attachment and proliferation characteristics of endothelial cells on modified poly (L: -lactic acid) (PLLA) films conjugated to gelatin and chitosan at low and high seeding densities (5,000 and 50,000 cells/cm(2)). During the early stage (2 h) of cell-biomaterial interaction, a low seeding density enabled us to observe the intrinsic surface-dependent differences in cell attachment capacity and morphogenesis, whereas extensive intercellular interactions at high seeding density masked differences between substrates and improved cell attachment on low-affinity substrates. During the later stage of cell-biomaterial interaction over 7-days of culture, the proliferation rate was found to be surface-dependent at low seeding density, whereas this surface-dependent difference was not apparent at high seeding density. It is recommended that low seeding density should be utilized for evaluating biomaterial applications where EC density is likely to be low, such as in situ endothelialization of blood-contacting devices.
More Related Videos
09:53Quantifying the Brain Metastatic Tumor Micro-Environment using an Organ-On-A Chip 3D Model, Machine Learning, and Confocal Tomography
Published on: August 16, 2020
09:19In Vitro Microfluidic Disease Model to Study Whole Blood-Endothelial Interactions and Blood Clot Dynamics in Real-Time
Published on: May 24, 2020
Related Concept Videos
Intracellular Signaling Affects Focal Adhesions
Some...
Overview of Cell-Matrix Interactions