Evidence map›Paper›PMID 38542584›Full record

ReviewMicromachines2024

Recent Progress in Droplet Structure Machining for Advanced Optics.

Jin-Kun Guo, W D N Sandaruwan, Jinwei Li, Jinzhong Ling, Ying Yuan, Xin Liu, Qiang Li, Xiaorui Wang

Abstract readReview
In one paragraph

Review in Micromachines, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Jin-Kun GuoSchool of Optoelectronic Engineering, Xidian University, Xi'an 710071, China.ORCID 0000-0002-5489-1123
W D N SandaruwanSchool of Optoelectronic Engineering, Xidian University, Xi'an 710071, China.
Jinwei LiSchool of Optoelectronic Engineering, Xidian University, Xi'an 710071, China.
Jinzhong LingSchool of Optoelectronic Engineering, Xidian University, Xi'an 710071, China.
Ying YuanSchool of Optoelectronic Engineering, Xidian University, Xi'an 710071, China.
Xin LiuSchool of Optoelectronic Engineering, Xidian University, Xi'an 710071, China.
Qiang LiSchool of Optoelectronic Engineering, Xidian University, Xi'an 710071, China.
Xiaorui WangSchool of Optoelectronic Engineering, Xidian University, Xi'an 710071, China.

Funding

Key Research and Development Program of Shaanxi 2023-YBGY-003National Natural Science Foundation of China 62005206, 62075176, and 62005204Seed Funds for Internationalization of Xidian University 2022-17
6 · The paper itself

Abstract

The development of optical and photonic applications using soft-matter droplets holds great scientific and application importance. The machining of droplet structures is expected to drive breakthroughs in advancing frontier applications. This review highlights recent advancements in micro-nanofabrication techniques for soft-matter droplets, encompassing microfluidics, laser injection, and microfluidic 3D printing. The principles, advantages, and weaknesses of these technologies are thoroughly discussed. The review introduces the utilization of a phase separation strategy in microfluidics to assemble complex emulsion droplets and control droplet geometries by adjusting interfacial tension. Additionally, laser injection can take full advantage of the self-assembly properties of soft matter to control the spontaneous organization of internal substructures within droplets, thus providing the possibility of high-precision customized assembly of droplets. Microfluidic 3D printing demonstrates a 3D printing-based method for machining droplet structures. Its programmable nature holds promise for developing device-level applications utilizing droplet arrays. Finally, the review presents novel applications of soft-matter droplets in optics and photonics. The integration of processing concepts from microfluidics, laser micro-nano-machining, and 3D printing into droplet processing, combined with the self-assembly properties of soft materials, may offer novel opportunities for processing and application development.

Indexed as

3D printingdropletemulsionslab on a chiplaser injectionlaser micro–nano-machiningliquid crystalmicrofabricationmicrofluidicssoft matter

Identifiers

PMID38542584
PMCPMC10972325

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.