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Updated: Jan 25, 2026

Microfluidic Bioprinting for Engineering Vascularized Tissues and Organoids
Published on: August 11, 2017
Effective bioprinting resolution in tissue model fabrication.
Amir K Miri1, Iman Mirzaee2, Shabir Hassan3
1Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Cambridge, MA 02139, USA. yszhang@research.bwh.harvard.edu and Harvard-MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA 02139, USA and Department of Mechanical Engineering, Rowan University, Glassboro, NJ 08028, USA.
Bioprinting resolution is key for creating accurate micro-tissues in organ-on-a-chip systems. This study analyzes inkjet, extrusion, and light-assisted methods to optimize fabrication for biomimetic tissue engineering.
Area of Science:
- Biomaterials Engineering
- Tissue Engineering
- Biotechnology
Background:
- Advancements in bioprinting enable micro-tissue fabrication for organ-on-a-chip (OOC) platforms.
- Bioprinted micro-tissue architecture fidelity is crucial for mimicking native anatomical features.
Purpose of the Study:
- To compare inkjet, extrusion, and light-assisted bioprinting technologies.
- To analyze factors influencing micro-tissue fabrication resolution for OOC platforms.
- To provide a guideline for optimizing bioprinting resolution for biomimetic tissue construction.
Main Methods:
- Theoretical analysis of bioprinting technologies (inkjet, extrusion, light-assisted).
- Evaluation of key parameters affecting resolution for each method.
- Comparative study of fabrication resolutions for micro-tissue engineering.
Main Results:
- Inkjet bioprinting resolution is dominated by surface contact angle.
- Extrusion bioprinting resolution depends on nozzle speed and bioink viscosity.
- Light-assisted bioprinting resolution is influenced by photocrosslinking and light characteristics.
Conclusions:
- Understanding these parameters is vital for optimizing bioprinting resolution.
- This research aids in developing more accurate biomimetic OOC platforms.
- The findings offer a guideline for improving micro-tissue fabrication in OOC applications.
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