Back

Shaping hydrogel bioinks into 3D, multiscale, perfusable models using multimodal printing

Soman, P.; Kunwar, P.; Poudel, A.; Aryal, U.; Geffert, Z. J.; Fougnier, D.; Narkar, A.; Zhang, K.; Filip, A.

2026-02-02 bioengineering
10.64898/2026.01.29.702588 bioRxiv
Show abstract

Despite technological advances, the fabrication of multiscale, multi-material, and topologically complex 3D structures using soft hydrogel bioinks remains a challenge due to the inherent trade-offs between print size/resolution, bioink properties, and design complexity. In this work, we combine additive (macroscale) digital light projection (DLP) mode with subtractive (microscale) two-photon ablation (TPA) mode with multi-material exchange capability. We identify ideal hydrogel bioink formulations that are compatible with both DLP and TPA modes of processing. Technical challenges related to multimodal fabrication such as alignment of multiscale topologies to facilitate seamless media perfusion, soft-hard multi-material printing to facilitate handling of mechanically weak hydrogel constructs, and hydrogel swelling during printing, were resolved. To highlight the novelty of this hybrid platform, we fabricated centimeter-scale bioink constructs with embedded microscale perfusable topologies that cannot be achieved by isolated use of either DLP or TPA modes. This includes simpler microfluidic chips with independently perfusable microchannels to more complex 3D constructs with embedded, multiscale, perfusable dual-fluidic circuits that mimic the alveoli-capillary interface, or microfluidic chips with endothelialized microchannels. The unique ability of this multimodal platform to mimic in vivo-like multiscale complexities can be potentially used to develop next-generation organ-on-chips.

Matching journals

The top 4 journals account for 50% of the predicted probability mass.

1
Advanced Materials Technologies
27 papers in training set
Top 0.1%
22.4%
2
Biofabrication
32 papers in training set
Top 0.1%
10.4%
3
Advanced Materials
53 papers in training set
Top 0.2%
10.1%
4
Lab on a Chip
88 papers in training set
Top 0.2%
7.1%
50% of probability mass above
5
Advanced Healthcare Materials
71 papers in training set
Top 0.3%
7.1%
6
Advanced Functional Materials
41 papers in training set
Top 0.4%
6.8%
7
Advanced Science
249 papers in training set
Top 4%
4.2%
8
ACS Applied Materials & Interfaces
39 papers in training set
Top 0.3%
2.6%
9
Bioactive Materials
18 papers in training set
Top 0.3%
2.1%
10
ACS Biomaterials Science & Engineering
37 papers in training set
Top 0.5%
1.9%
11
Small
70 papers in training set
Top 0.4%
1.8%
12
ACS Applied Bio Materials
21 papers in training set
Top 0.4%
1.7%
13
Analytical Chemistry
205 papers in training set
Top 1%
1.7%
14
Nature Communications
4913 papers in training set
Top 55%
1.3%
15
Materials Today Bio
18 papers in training set
Top 0.3%
1.3%
16
ACS Sensors
45 papers in training set
Top 1%
0.9%
17
Biomaterials Science
21 papers in training set
Top 0.5%
0.8%
18
Bioengineering & Translational Medicine
21 papers in training set
Top 0.8%
0.8%
19
Small Methods
26 papers in training set
Top 0.9%
0.8%
20
ACS Nano
99 papers in training set
Top 4%
0.8%
21
Scientific Reports
3102 papers in training set
Top 78%
0.6%
22
Advanced Materials Interfaces
10 papers in training set
Top 0.4%
0.6%
23
PLOS ONE
4510 papers in training set
Top 71%
0.6%