Physics-Informed Optimization for the Sub-Feature-Scale Fabrication of Hollow Microneedles via Digital Light Processing.

Junhong Huang, Zhangzhe Xu, Shuo Wu, He Zhang, Guanzheng Liu, Bin Liu

Abstract read

In one paragraph

Article in Micromachines, 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

6 authors.

Junhong HuangGuangdong Provincial Key Laboratory of Sensor Technology and Biomedical Instrument, School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, China.ORCID 0009-0000-4252-5006

Zhangzhe XuGuangdong Provincial Key Laboratory of Sensor Technology and Biomedical Instrument, School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, China.

Shuo WuDepartment of Otolaryngology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China.

He ZhangState Key Laboratory of Robotics and Systems, Harbin Institute of Technology, Harbin 150001, China.

Guanzheng LiuGuangdong Provincial Key Laboratory of Sensor Technology and Biomedical Instrument, School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, China.

Bin LiuGuangdong Provincial Key Laboratory of Sensor Technology and Biomedical Instrument, School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, China.

Funding

Distinguished Young Scholars Program of the Natural Science Foundation of Heilongjiang Province JQ2024E004Guangdong Provincial Key Laboratory of Minimally Invasive Surgical Instruments and Manufacturing Technology MISIMT-2021-2Heilongjiang Provincial "Double First-Class" Discipline Collaborative Innovation Achievement Project LJGXCG2025-F01Key Research and Development Program of Heilongjiang Province 2024ZXDXC24National Key Research and Development Program of China 2023YFB4705800National Key Research and Development Program of China 2023YFB4705801National Natural Science Foundation of China 52175446Shenzhen Science and Technology Program 20250530174433004

6 · The paper itself

Abstract

To overcome low bioavailability and high trauma in inner ear therapies, targeted delivery across the round window membrane (RWM) via hollow microneedles (HMNs) offers a promising solution. However, the fabrication of high-aspect-ratio, small-size HMNs remains challenging. This study demonstrates the successful fabrication of small-outer-diameter HMNs using a 10 μm resolution digital light processing (DLP) system. Finite element analysis (FEA) identified a double tangent-arc transition as the optimal structural design for minimizing stress concentration. To manage the heightened parameter sensitivity at sub-feature-scale fabrication, a corrected curing index (CCI) model was established via a physics-informed regression approach incorporating polymerization kinetics and nonlinear spatial intensity distribution, achieving high fitting accuracy (R

Indexed as

additive manufacturingdigital light processingdrug deliveryhollow microneedles

Identifiers

PMID42354709

DOI10.3390/mi17060678

PMCPMC13303251

What OpenQuestion holds

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LicenceCC BY

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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.