Image-guided volumetric bioprinting

Thomas M Robinson; Yu Shrike Zhang; Khoon S Lim

doi:10.1016/j.tibtech.2025.12.015

Image-guided volumetric bioprinting

Trends Biotechnol. 2026 Feb;44(2):293-294. doi: 10.1016/j.tibtech.2025.12.015. Epub 2026 Jan 20.

Authors

Thomas M Robinson¹, Yu Shrike Zhang², Khoon S Lim³

Affiliations

¹ School of Medical Sciences, Faculty of Medicine and Health, University of Sydney, Camperdown, Sydney, New South Wales 2006, Australia.
² Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Cambridge, MA 02139, USA; Harvard Stem Cell Institute, Harvard University, Cambridge, MA 02138, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
³ School of Medical Sciences, Faculty of Medicine and Health, University of Sydney, Camperdown, Sydney, New South Wales 2006, Australia. Electronic address: khoon.lim@sydney.edu.au.

PMID: 41565538
DOI: 10.1016/j.tibtech.2025.12.015

Abstract

Image-guided volumetric bioprinting allows for the adaptive fabrication of complex structures for tissue engineering. Seminal work by Florczak et al. introduces Generative, Adaptive, Context-Aware 3D Printing, a workflow that uses computer vision to automatically generate functional, vascular-like networks that conform to living cells within hydrogels, improving their functionality.

Keywords: adaptive; biofabrication; volumetric.

MeSH terms

Bioprinting* / methods
Humans
Hydrogels / chemistry
Image Processing, Computer-Assisted* / methods
Printing, Three-Dimensional*
Tissue Engineering* / methods

Substances

Hydrogels