Bioprinting
Table of Contents
Definition
3D bioprinting is an additive manufacturing technology that dispenses cell-laden biomaterials under computer control to construct complex, three-dimensional, functional living tissues or artificial organs1. The technology belongs to the additive manufacturing process family defined in ISO/ASTM 52900:2021, which establishes the international vocabulary for building physical three-dimensional geometries by the successive addition of material2.
Its biological basis is the bioink: a solution of one or more biomaterials in hydrogel form, usually encapsulating the desired living cell types, that is crosslinked or stabilized during or immediately after printing to generate the intended shape, structure, and architecture of the designed construct3. The technology models the native tissue microenvironment, including organ-level geometry, spatially organized multicellular composition, an extracellular-matrix-like matrix, and the cell-cell and cell-matrix interactions that monolayer culture cannot reproduce1 3.
Structurally, bioink is deposited layer by layer as droplets, filaments, or photocrosslinked planes in accordance with a digital design; crosslinking chemistry, whether ionic, thermal, or photopolymerization, stabilizes each layer; embedded cells subsequently attach, remodel the surrounding matrix, and mature toward tissue-like organization1 3. Across bioprinting approaches, feature resolutions span approximately 10 to 1,000 μm1.
Purpose
The primary value proposition of 3D bioprinting is automated, reproducible, on-demand fabrication of living constructs with precise control over geometry, cell placement, and material patterning, amenable to high-throughput production3.
The technology is motivated by two unmet needs. In regenerative medicine, bioprinting is regarded as a versatile fabrication technique that may address the growing organ shortage1; in the United States alone, approximately 109,800 candidates were on the national transplant waiting list, twelve people die each day awaiting an organ, and a new candidate joins the list every seven minutes4. In biomedical research, bioprinting provides human-relevant tissue models for research, drug discovery, and toxicology1 5.
Bioprinting improves upon legacy models in both domains. Historically, drug screening relied on simple two-dimensional cell cultures and animal models, whose limited ability to predict human drug responses has driven the development of more precise alternatives6. Bioprinted tissues are constructed from human cells and present native-like three-dimensional architecture, thereby bridging the interspecies differences and incomplete human physiology that weaken animal-model extrapolation6. Given drug development costs estimated at approximately 2.6 billion US dollars per approved therapy5, gains in preclinical predictive validity carry substantial economic and ethical significance. Bioprinting further enables personalized disease models generated from patient-derived cells for patient-specific drug discovery and therapeutic planning5.
Methodology
The standard workflow proceeds from clinical imaging or computer-aided design data, which are processed into machine instructions; the bioink is then formulated, the construct is printed layer by layer, the structure is stabilized by crosslinking, and the construct is matured in culture before evaluation1 3.
Four principal printing modalities are recognized1:
- Inkjet: droplet ejection driven by thermal or piezoelectric actuation.
- Extrusion: pneumatic or mechanical dispensing of continuous filaments.
- Laser-assisted: nozzle-free, laser-induced forward transfer of bioink droplets.
- Stereolithography and digital light processing: selective photopolymerization of bioinks in a vat.
Substrates are hydrogel-based bioinks formulated from natural polymers, such as alginate, collagen, gelatin and its methacrylate derivative GelMA, and Matrigel, and from synthetic polymers such as PEGDA and PEGDMA, employed alone or as hybrid materials1 3. Growth factors and other biomolecules can be incorporated into the bioink and therefore into the developed construct6. Gelation strategies, including ionic crosslinking, thermal gelation, and photopolymerization, are matched to the demands of each modality1 3. Perfusable vascular networks may be introduced during fabrication; vat-polymerization approaches have produced multivascular networks with open perfusable channels of approximately 300 μm within PEGDA/GelMA constructs printed with light-absorbing bioink additives7.
Instrumentation comprises sterile, cell-compatible bioprinter platforms with modality-specific operating windows. Inkjet heads require low-viscosity bioinks of approximately 3.5 to 12 mPa·s and tolerate only modest cell densities; extrusion systems accommodate viscosities from 30 mPa·s to above 6 × 10⁷ mPa·s and the highest cell densities, including cell spheroids; and stereolithography imposes essentially no viscosity limitation1.
Performance
Comparative reviews report the following empirical operating characteristics1 7:
| Modality | Cell viability | Print speed | Supported viscosity | Resolution |
|---|---|---|---|---|
| Inkjet | Above 85%, typically 80 to 90% | Fast | 3.5 to 12 mPa·s | High |
| Laser-assisted | Above 95% | Medium | 1 to 300 mPa·s | High |
| Extrusion | 40 to 80% | Slow | 30 mPa·s to above 6 × 10⁷ mPa·s | Moderate; typically above 100 μm |
| Stereolithography/DLP | Above 85% | Fast | No limitation | High; up to approximately 10 μm |
Stereolithography resolution can reach approximately 10 μm by reducing the laser spot size7, and laser-induced forward transfer achieves micron-level resolution with high cell survival and no risk of nozzle clogging8. With respect to reproducibility, automated deposition confers reproducibility and precise control over fabricated constructs3; among the modalities, nozzle-free laser-based printing generates the most reproducible constructs, although it is difficult to adjust and control6.
Current technical boundaries remain substantial. High-resolution cell deposition, controlled cell distributions, vascularization, and innervation within complex three-dimensional tissues are unresolved challenges1. Extrusion is slow, and associated shear stress limits cell viability to 40 to 80%1; inkjet printing is restricted to low-viscosity, low-cell-density bioinks1; and laser-assisted systems are expensive and complex, which limits adoption1. Bioprinting inherits its terminology from the standardized additive manufacturing vocabulary of ISO/ASTM 529002, yet bioprinting-specific performance standards and regulatory criteria are still maturing, and international regulatory harmonization is considered critical for the acceptance of bioprinted drug-testing models6.
Applications
Primary research applications include regenerative medicine and tissue engineering, in which transplantable skin, cartilage, and bone constructs have been demonstrated1; disease modeling, in which bioprinted cancer models, including a breast cancer model with stromal compartmentation that remained viable for approximately 14 days, have been applied to hormonal agents and chemotherapeutics such as paclitaxel and tamoxifen5; and high-throughput predictive drug screening and toxicology1.
Industrial applications concentrate on pharmaceutical drug screening, dermatological and cosmetic testing of bioprinted skin models, and personalized disease models for patient-specific drug discovery and therapeutic planning5.
Standardized contexts of use are in vitro drug testing in which human-cell composition, three-dimensional architecture, and reproducible automation are decisive; bioprinted models are positioned to bridge the interspecies differences and poor clinical predictivity of legacy preclinical models6.
Deployment remains predominantly at the research and preclinical in vitro stage. Regulatory frameworks for bioprinted drug-testing models are still under development, and continuous evaluation of their performance and safety is required for wider regulatory acceptance6.
Variations
- Inkjet Bioprinting: Droplet-based ejection of low-viscosity bioinks driven by thermal or piezoelectric actuators; a low-cost, rapid, high-resolution modality restricted to modest cell densities, with viability typically between 80 and 90%1.
- Extrusion Bioprinting: Pneumatic or mechanical dispensing of continuous filaments; offers the widest range of materials, viscosities, and cell densities, including cell spheroids, at moderate resolution and lower print speed1 7.
- Laser-Assisted Bioprinting: Nozzle-free laser-induced forward transfer of bioink droplets, first applied to cell printing in 2004; provides micron-level resolution, cell viability above 95%, and compatibility with viscous, high-cell-density bioinks, offset by cost and operational complexity8.
- Stereolithography-Based Bioprinting: Selective photopolymerization of bioinks by laser or projected light; enables rapid fabrication, resolutions approaching 10 μm, and no viscosity limitation, constrained by photoinitiator compatibility and light dosimetry1 7.
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Christian Mandrycky, Zongjie Wang, Keekyoung Kim and Deok-Ho Kim, 3D bioprinting for engineering complex tissues, Biotechnology Advances, 2016.
This review introduces the principles of bioprinting, including printer design, workflow, and biomaterial options, and provides a comparative analysis of the four principal techniques with respect to cost, cell viability, print speed, supported viscosity, resolution, and cell density. It identifies vascularization, innervation, and high-resolution cell deposition as outstanding technical challenges, and the full text is freely available through PubMed Central. ↩︎ ↩︎ ↩︎ ↩︎ ↩︎ ↩︎ ↩︎ ↩︎ ↩︎ ↩︎ ↩︎ ↩︎ ↩︎ ↩︎ ↩︎ ↩︎ ↩︎ ↩︎ ↩︎ ↩︎ ↩︎ -
ISO/ASTM International, ISO/ASTM 52900:2021, Additive manufacturing — General principles — Fundamentals and vocabulary, International Organization for Standardization, 2021-11.
This joint ISO/ASTM international standard establishes and defines the vocabulary of additive manufacturing, the process family to which 3D bioprinting belongs, covering the successive addition of material required to build physical three-dimensional geometries. It provides the standardized terminology that bioprinting inherits, including the material jetting, material extrusion, and vat photopolymerization process categories. ↩︎ ↩︎ -
P. Selcan Gungor-Ozkerim, Ilyas Inci, Yu Shrike Zhang, Ali Khademhosseini and Mehmet Remzi Dokmeci, Bioinks for 3D bioprinting: an overview, Biomaterials Science, 2018.
This review defines the bioink concept and surveys natural, synthetic, and hybrid formulations together with their crosslinking and stabilization strategies. It emphasizes that bioprinting provides high reproducibility and precise control over fabricated constructs in an automated manner, and the full text is freely available through PubMed Central. ↩︎ ↩︎ ↩︎ ↩︎ ↩︎ ↩︎ ↩︎ ↩︎ -
Health Resources and Services Administration, Organ Donation Statistics, U.S. Department of Health and Human Services, accessed 2026-10-16.
This official United States government page reports Organ Procurement and Transplantation Network statistics on the national transplant waiting list, including approximately 109,800 registered candidates, twelve deaths each day while waiting, and the addition of a new candidate every seven minutes. The figures quantify the organ shortage that bioprinting aims, in part, to address. ↩︎ -
Abhinav Satpathy, Prashantha Datta, Yanyi Wu, Bugra Ayan, Erkin Bayram and Ibrahim T. Ozbolat, Developments with 3D bioprinting for novel drug discovery, Expert Opinion on Drug Discovery, 2018-12.
This review surveys bioprinted tissue and disease models for drug discovery, including bioprinted breast cancer models applied to hormonal and chemotherapeutic agents and skin models for pharmaceutical and dermatological testing, and discusses personalized disease models for patient-specific drug discovery and therapeutic planning. It situates bioprinting within drug development costs estimated at approximately 2.6 billion US dollars per approved therapy, and the full text is freely available through PubMed Central. ↩︎ ↩︎ ↩︎ ↩︎ ↩︎ -
Divya Mallya, Mrunmayi Ashish Gadre, S. Varadharajan and Kirthanashri S. Vasanthan, 3D bioprinting for the construction of drug testing models — development strategies and regulatory concerns, Frontiers in Bioengineering and Biotechnology, 2025-02-14.
This open-access review examines development strategies for 3D bioprinted drug-testing models, documents the limited ability of two-dimensional cultures and animal models to predict human drug responses, and analyzes the regulatory concerns surrounding bioprinted models. It concludes that collaboration among regulatory bodies worldwide is critical for establishing consistent criteria that promote international acceptance of the technology for drug testing. ↩︎ ↩︎ ↩︎ ↩︎ ↩︎ ↩︎ ↩︎ -
Wanjun Li, Mengyuan Wang, Hao Ma, Fidel A. Chapa-Villarreal, Anderson O. Lobo and Yu Shrike Zhang, Stereolithography apparatus and digital light processing-based 3D bioprinting for tissue fabrication, iScience, 2023.
This open-access review covers vat-polymerization bioprinting, including photoinitiator and light-source considerations, laser-spot resolutions reaching approximately 10 μm, and the fabrication of perfusable multivascular networks with roughly 300 μm open channels in GelMA/PEGDA bioinks. It also situates extrusion bioprinting, whose resolution typically exceeds 100 μm, against these higher-resolution modalities. ↩︎ ↩︎ ↩︎ ↩︎ ↩︎ -
Jianing Chang and Xiujun Sun, Laser-induced forward transfer based laser bioprinting in biomedical applications, Frontiers in Bioengineering and Biotechnology, 2023-09.
This open-access review describes the nozzle-free laser-induced forward transfer technique, which was first applied to cell printing in 2004, and its advantages of micron-level resolution, high cell viability, and freedom from ink clogging. It covers applications spanning biomolecular microarrays, tissue engineering, and regenerative medicine. ↩︎ ↩︎