Related Experiment Video
Updated: Jan 18, 2026
08:22
Microfluidic Bioprinting for Engineering Vascularized Tissues and Organoids
Published on: August 11, 2017
16.3K
From Medical Imaging to Bioprinted Tissues: The Importance of Workflow Optimisation for Improved Cell Function
Jesús Manuel Rodríguez Rego1, Laura Mendoza Cerezo1,2, Francisco de Asís Iñesta Vaquera2
1Departamento de Expresión Gráfica, Escuela de Ingenierías Industriales, Universidad de Extremadura, Badajoz, España.
Expert Reviews in Molecular Medicine
|September 12, 2025
Summary
Optimizing the 3D bioprinting workflow is crucial for advancing tissue engineering and personalized medicine. This review details key steps and factors for enhancing the precision, viability, and clinical relevance of bioprinted tissues.
Area of Science:
- Biomedical Engineering
- Regenerative Medicine
- Tissue Engineering
Background:
- 3D bioprinting offers innovative solutions for organ shortages and precise 3D cellular models.
- Optimized workflows are essential to realize the full potential of 3D bioprinting.
- Advancements are critical for personalized medicine and tissue engineering.
Purpose of the Study:
- To systematically review the 3D bioprinting process.
- To identify key factors influencing bioprinted tissue quality.
- To provide insights for refining bioprinting workflows.
Main Methods:
- Systematic examination of the bioprinting process from image acquisition to validation.
- Analysis of biomaterial and cell type selection.
- Review of DICOM image conversion, slicing techniques, and algorithm development.
Main Results:
- Identified key factors for precision, viability, and clinical relevance of bioprinted tissues.
- Compared planar and non-planar slicing algorithms' impact on scaffold integrity.
- Discussed advancements in algorithms, bioprinter technology, and biomaterials.
Conclusions:
- Optimized imaging, modeling, and material selection enhance bioprinting.
- Improvements support the development of clinically relevant constructs.
- 3D bioprinting advances regenerative medicine and personalized healthcare.
