Back

Artificial capillaries-on-a-chip with modular control over lumen size, architecture, in situ modifications and co-culture conditions.

Soman, P.; Poudel, A.; Limjuico, J. E. N.; Aryal, U.; Hossain, M. T.; Basu, S.

2026-01-31 bioengineering
10.64898/2026.01.29.702578 bioRxiv
Show abstract

Currently in vitro models of microvascular biology rely on self-assembly of vascular cells in compatible gels. However, the stochastic nature of this process results in large variations in lumen sizes, perfusion continuity, and shear stresses making systematic and reproducible analysis challenging. Here, we report a new technology to generate artificial capillaries on a chip with custom control over lumen sizes and architectures using a combination of femtosecond laser cavitation and collagen casting within multi-chambered microfluidic chips. The design allows seeding of endothelial cells within capillary-sized microchannels and seeding of stromal cells within top-open silos, with independent control over seeding sequence and media compositions. Results show that endothelialized microchannels, coined as artificial capillaries, exhibit excellent barrier function with reproducible control over lumen sizes ({phi}=8-35{micro}m) and their architectures (straight, curvatures, tapered, branched). The physical flow parameters measured across the lumen (namely, flow shear) and at the channel outlets (flow velocities) have been validated against high-fidelity numerical assessments from the Large Eddy Simulation scheme within the digitized versions of the microchannels. The experiment-computation compatibility enabled us to predict changes in regional velocity and wall shear stresses within artificial capillaries, for various capillary architectures. We also show that in situ editing of artificial capillaries in the form of adding new branches or adding occlusions is possible. Lastly, we developed a co-culture model which enables the study of stromal cells with artificial capillaries using conventional imaging methods. We envision that acellular chips with two seeding ports can be readily shipped worldwide and could potentially be adopted as a new technology to study microvascular biology in a reproducible manner.

Matching journals

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

1
Lab on a Chip
88 papers in training set
Top 0.1%
34.0%
2
Biofabrication
32 papers in training set
Top 0.1%
8.7%
3
Advanced Materials Technologies
27 papers in training set
Top 0.1%
4.4%
4
Advanced Science
249 papers in training set
Top 5%
3.8%
50% of probability mass above
5
APL Bioengineering
18 papers in training set
Top 0.1%
3.3%
6
Scientific Reports
3102 papers in training set
Top 41%
3.2%
7
PLOS ONE
4510 papers in training set
Top 43%
2.8%
8
Frontiers in Bioengineering and Biotechnology
88 papers in training set
Top 0.8%
2.7%
9
Physics of Fluids
13 papers in training set
Top 0.1%
2.4%
10
Nature Communications
4913 papers in training set
Top 45%
2.4%
11
Bioengineering & Translational Medicine
21 papers in training set
Top 0.3%
2.1%
12
ACS Biomaterials Science & Engineering
37 papers in training set
Top 0.5%
1.8%
13
Annals of Biomedical Engineering
34 papers in training set
Top 0.6%
1.7%
14
Journal of Biomedical Optics
25 papers in training set
Top 0.4%
1.5%
15
Small Methods
26 papers in training set
Top 0.5%
1.5%
16
Analytical Chemistry
205 papers in training set
Top 2%
1.4%
17
ACS Nano
99 papers in training set
Top 3%
1.3%
18
Advanced Functional Materials
41 papers in training set
Top 2%
1.0%
19
Advanced Healthcare Materials
71 papers in training set
Top 1%
1.0%
20
Small
70 papers in training set
Top 1.0%
0.8%
21
Analytica Chimica Acta
17 papers in training set
Top 0.5%
0.8%
22
Communications Biology
886 papers in training set
Top 22%
0.8%
23
Journal of Colloid and Interface Science
12 papers in training set
Top 0.4%
0.8%
24
Materials Today Bio
18 papers in training set
Top 0.6%
0.7%
25
Biomaterials
78 papers in training set
Top 2%
0.5%
26
Cellular and Molecular Bioengineering
21 papers in training set
Top 0.5%
0.5%
27
Biophysical Journal
545 papers in training set
Top 6%
0.5%
28
Biomedical Optics Express
84 papers in training set
Top 1%
0.5%
29
ACS Omega
90 papers in training set
Top 5%
0.5%