Evidence map›Paper›PMID 42576783›Full record

ArticleSmall (Weinheim an der Bergstrasse, Germany)2026

Microfluidic Capillary Arrays for Pixelated Control of Multimaterial Flows.

Max Chapman, Muhammad Utomo, David J Collins

Abstract read
In one paragraph

Article in Small (Weinheim an der Bergstrasse, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Max ChapmanDepartment of Biomedical Engineering, University of Melbourne, Melbourne, Victoria, Australia.
Muhammad UtomoDepartment of Biomedical Engineering, University of Melbourne, Melbourne, Victoria, Australia.
David J CollinsDepartment of Biomedical Engineering, University of Melbourne, Melbourne, Victoria, Australia.ORCID https://orcid.org/0000-0001-5382-9718

Funding

Australian Research Council DP230102550National Health and Medical Research Council APP2003446
6 · The paper itself

Abstract

We present a novel approach for the production of customizable microscale multimaterial flow cross-sections. Here, a 3D-printed array of microfluidic capillaries selectively maps numerous viscosity-matched fluids to control the cross-sectional geometry of a heterogeneous Poiseuille flow. Whereas previous work has demonstrated relatively simple axisymmetric flows, our approach is highly scalable to complex cross-sectional geometries and large numbers of fluid inputs, and enables tailored cross-sections without the limitation of radial symmetries, enabling the production of arbitrary fluidic 'images'. We further design and implement an automated algorithm that generates a 3D model of an integrated flow extruder manifold tailored to the desired cross-sectional geometry, which is then 3D printed. This design exploits laminar flow conditions to scale down cross-sectional features, permitting an effective resolution amplification of two orders of magnitude from the minimum feature size of the 3D-printed device. We demonstrate the spatial tuneability of the approach with a variety of periodic and asymmetric multimaterial flow geometries and for hydrogel microfibre production, in doing so utilizing up to 2347 individually defined fluidic pixels. With the ability to arbitrarily define flow cross-sections with microscale precision, this approach has the potential to enable emerging applications requiring highly customized flows across optofluidic, biofabrication and lab-on-a-chip devices.

Indexed as

3D printingalginatebiofabricationmicrofluidicswet‐spinning

Identifiers

PMID42576783
PMCPMC13653350

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.