Evidence map›Paper›PMID 39626966›Full record

ArticleACS applied materials & interfaces2024

Multipath Projection Stereolithography for Three-Dimensional Printing Microfluidic Devices.

Zachary J Geffert, Zheng Xiong, Jenna Grutzmacher, Maximilian Wilderman, Ali Mohammadi, Alex Filip, Zhen Li, Pranav Soman

Abstract read
In one paragraph

Article in ACS applied materials & interfaces, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
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

8 authors.

Zachary J GeffertDepartment of Biomedical and Chemical Engineering, Syracuse University, 900 S Crouse Avenue, Syracuse, New York 13244, United States.
Zheng XiongDepartment of Biomedical and Chemical Engineering, Syracuse University, 900 S Crouse Avenue, Syracuse, New York 13244, United States.
Jenna GrutzmacherDepartment of Biomedical and Chemical Engineering, Syracuse University, 900 S Crouse Avenue, Syracuse, New York 13244, United States.
Maximilian WildermanDepartment of Biomedical and Chemical Engineering, Syracuse University, 900 S Crouse Avenue, Syracuse, New York 13244, United States.
Ali MohammadiDepartment of Mechanical Engineering, Clemson University, 105 Sikes Hall, Clemson, South Carolina 29634, United States.
Alex FilipDepartment of Biomedical and Chemical Engineering, Syracuse University, 900 S Crouse Avenue, Syracuse, New York 13244, United States.
Zhen LiDepartment of Mechanical Engineering, Clemson University, 105 Sikes Hall, Clemson, South Carolina 29634, United States.ORCID 0000-0002-0936-6928
Pranav SomanDepartment of Biomedical and Chemical Engineering, Syracuse University, 900 S Crouse Avenue, Syracuse, New York 13244, United States.ORCID 0000-0001-9456-0030

Funding

High-Throughput Single Cell MechanomicsR21GM141573 · NIGMS · SYRACUSE UNIVERSITY · PI SOMAN, PRANAV · 2021 to 2022
$430k
NIGMS NIH HHS R21 GM141573
6 · The paper itself

Abstract

Although many lab-on-chip applications require inch-sized devices with microscale feature resolution, achieving this via current 3D printing methods remains challenging due to inherent trade-offs between print resolution, design complexity, and build sizes. Inspired by microscopes that can switch objectives to achieve multiscale imaging, we report a new optical printer coined multipath projection stereolithography (MPS) specifically designed for printing microfluidic devices. MPS is designed to switch between high-resolution (1× mode, ∼10 μm) and low-resolution (3× mode, ∼30 μm) optical paths to generate centimeter-sized constructs (3 × 6 cm) with a feature resolution of ∼10 μm. Illumination and projection systems were designed, resin formulations were optimized, and slicing software was integrated with hardware with the goal of ease of use. Using a test case of micromixers, we show that user-defined CAD models can be directly input to an automated slicing software to define printing of low-resolution features via the 3× mode with embedded microscale fins via 1× mode. A new computational model, validated using experimental results, was used to simulate various fin designs, and experiments were conducted to verify simulated mixing efficiencies. New 3D out-of-plane micromixer designs were simulated and tested. To show broad applications of MPS, multichambered chips and microfluidic devices with microtraps were also printed. Overall, MPS can be a new fabrication tool to rapidly print a range of lab-on-chip applications.

Indexed as

3D printingadditive manufacturingmultiscalephotopolymerizationprecision microfluidics

Identifiers

PMID39626966
PMCPMC11660027

What OpenQuestion holds

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LicenceCC BY
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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.