Binil Starly
Binil Starly, Ph.D.
Associate Professor, DIME Laboratory
406 Daniels Hall, NC State University, Raleigh, NC 27695
T: (919) 515-1815; F: (919) 515 5281


Dr. Binil Starly is currently an Associate Professor in the Edward P. Fitts Department of Industrial and Systems Engineering at North Carolina State University. He directs the Data Intensive Manufacturing Environment Laboratory (DIME Lab). His laboratory is working on technologies that merge the digital and the physical world towards advancing both discrete and continuous manufacturing processes. His team specifically develops technology related to Virtual Manufacturing Machines, Real-Time Quality Control in 3D Biofabrication and Distributed Manufacturing. He has published more than 40 journal publications in this space with best paper awards from the SME and IIE technical organizations. He has also received the US NSF CAREER award and teaching award recognition for his work. For additional information, please visit:


Expansion of Human Mesenchymal Stem Cells (hMSCs) using 3D Printed Scaffolds in Tube-Free Closed Perfusion Bioreactors

Stem cells are critical components of regenerative medicine therapy, especially when using biofabrication approaches.  To address the need, we have recently cultured stem cells in 3D printed scaffolds and used them as a vehicle for cell expansion within a low shear stress perfusion bioreactor. In this study, we present an approach of expanding Adipose derived hMSCs seeded on a 3D printed Poly-Styrene (PS) scaffolds within a novel tube-free closed system bioreactor. The bioreactor runs without any valeves, ports or external media bottles. 3D printed scaffolds inoculated with adipose derived MSCs were cultured dynamically within this bioreactor for 8 days. We have evaluated the cell expansion ratio, assessed the effects of flow parameters on expanding cells and checked for the viability and stemness of cells after retrieval. We also complement our experimental results with a multi-physics model of the new bioreactor. Future work will need to address predicting yields in higher volume settings, efficiency of harvest and a more detailed description of the hydrodynamics affecting stem cell growth.

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Deadline for early registration
  September 15, 2017