Evidence map›Paper›PMID 40614197›Full record

ArticleScience advances2025

Femtosecond laser-assisted printing of hard magnetic microrobots for swimming upstream in subcentimeter-per-second blood flow.

Dong Wu, Xiuwen Wang, Rui Li, Chaowei Wang, Zhongguo Ren, Deng Pan, Pinliang Ren, Yanlei Hu, Chen Xin, Li Zhang

Abstract read
In one paragraph

Article in Science advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Embodied Cross-Domain Intelligence in Biomedical Microrobots: A Review.Cyborg and bionic systems (Washington, D.C.) · 2026
    Review
  8. Article
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

10 authors.

Dong WuCAS Key Laboratory of Mechanical Behavior and Design of Materials, Key Laboratory of Precision Scientific Instrumentation of Anhui Higher Education Institutes, Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei 230027, China.ORCID 0000-0003-0623-1515
Xiuwen WangCAS Key Laboratory of Mechanical Behavior and Design of Materials, Key Laboratory of Precision Scientific Instrumentation of Anhui Higher Education Institutes, Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei 230027, China.ORCID 0009-0003-6373-8600
Rui LiCAS Key Laboratory of Mechanical Behavior and Design of Materials, Key Laboratory of Precision Scientific Instrumentation of Anhui Higher Education Institutes, Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei 230027, China.ORCID 0009-0005-1717-8635
Chaowei WangCAS Key Laboratory of Mechanical Behavior and Design of Materials, Key Laboratory of Precision Scientific Instrumentation of Anhui Higher Education Institutes, Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei 230027, China.ORCID 0000-0002-9963-9917
Zhongguo RenCAS Key Laboratory of Mechanical Behavior and Design of Materials, Key Laboratory of Precision Scientific Instrumentation of Anhui Higher Education Institutes, Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei 230027, China.
Deng PanInformation Materials and Intelligent Sensing Laboratory of Anhui Province, Anhui University, Hefei 230601, China.
Pinliang RenCAS Key Laboratory of Mechanical Behavior and Design of Materials, Key Laboratory of Precision Scientific Instrumentation of Anhui Higher Education Institutes, Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei 230027, China.
Yanlei HuCAS Key Laboratory of Mechanical Behavior and Design of Materials, Key Laboratory of Precision Scientific Instrumentation of Anhui Higher Education Institutes, Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei 230027, China.ORCID 0000-0003-1964-0043
Chen XinDepartment of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Hong Kong 999077, China.
Li ZhangDepartment of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Hong Kong 999077, China.ORCID 0000-0003-1152-8962

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Magnetic microrobots have garnered increasing attention in the biomedical field due to their wireless motion control and noninvasive therapeutic potential. However, current microrobots fabricated from soft magnetic materials exhibit critical limitations, including weak magnetic response and uncontrollable locomotion in high-rate blood flow, which hinder their practical applications. Here, we develop a fabrication method for three-dimensional (3D) hard magnetic microrobots (HM-microrobots) containing neodymium-iron-boron particles. HM-microrobots, featuring programmable 3D helical morphologies, are fabricated by integrating two-photon polymerization printing of molds in positive photoresist with subsequent vacuum infusion molding of hard magnetic slurries. The microrobots achieve a maximum swimming velocity of 22.6 body lengths per second (3 millimeters per second) in a weak rotating magnetic field of 2 millitesla, which represents a notable improvement over their soft magnetic counterparts. Furthermore, they demonstrate controllable upstream propulsion in subcentimeter-per-second blood flow, showing great potential for endovascular applications.

Indexed as

LasersMagneticsPrinting, Three-DimensionalRoboticsSwimmingHumansMagnetic Fields

Identifiers

PMID40614197
PMCPMC12227040

What OpenQuestion holds

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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.