Evidence map›Paper›PMID 41330914›Full record

ArticleMicrosystems & nanoengineering2025

Integrated 3D microstructured digital microfluidic platform for advanced 3D cell culture.

Xiaojun Chen, Xiaodong Lin, Haoran Li, Yanwei Jia

Abstract read
In one paragraph

Article in Microsystems & nanoengineering, 2025. 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

4 authors.

Xiaojun ChenLingnan Normal University, Zhanjiang, China.
Xiaodong LinUniversity of California, Riverside, 900 University Ave., Riverside, CA, USA.
Haoran LiState Key Laboratory of Analog and Mixed-Signal VLSI, Institute of Microelectronics, University of Macau, Macau, SAR, China.ORCID http://orcid.org/0000-0002-9080-1797
Yanwei JiaState Key Laboratory of Analog and Mixed-Signal VLSI, Institute of Microelectronics, University of Macau, Macau, SAR, China. yanweijia@um.edu.mo.ORCID http://orcid.org/0000-0001-5795-7450

Funding

Universidade de Macau (University of Macau) MYRG2023-00034-IME
6 · The paper itself

Abstract

Three-dimensional (3D) cell culture systems better simulate the in vivo microenvironment by promoting intercellular interactions and functional expression, which are crucial for tissue engineering and regenerative medicine. However, conventional two-dimensional (2D) culture platforms fail to mimic the spatial complexity of in vivo tissues, often resulting in altered cellular behavior and limited physiological relevance. In this research, we introduce a 3D cell culture platform based on a digital microfluidic (DMF) system. This platform integrates DMF electrode actuation with 3D-printed microstructure arrays, enabling precise capture and aggregation of cells within a defined 3D scaffold. While cells initially adhere in a 2D structure, they rapidly self-assemble into a 3D cell spheroid on the chip. The platform's capabilities for droplet dispersion, fusion, and movement were validated using the 3D-printed DMF chip. The key parameters, such as applied voltage, microstructure height, and electrode spacing, were systematically investigated for their effects on droplet manipulation. Cell viability and proliferation assays in 24, 48, and 72 hours confirmed that the 3D microstructured scaffolds exhibit excellent biocompatibility and provide a microenvironment favorable for in vivo-like cell growth. Overall, this integrated DMF chip supports robust 3D cell growth and represents a versatile tool for applications in tissue engineering and regenerative medicine.

Identifiers

PMID41330914
PMCPMC12673123

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.