Evidence map›Paper›PMID 30424031›Full record

ReviewMicromachines2018

Optofluidic Tunable Lenses for In-Plane Light Manipulation.

Qingming Chen, Tenghao Li, Zhaohui Li, Jinlin Long, Xuming Zhang

Abstract readReview
In one paragraph

Review in Micromachines, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Review
  6. Article
  7. 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

5 authors.

Qingming ChenDepartment of Applied Physics, The Hong Kong Polytechnic University, Hong Kong 999077, China. qing-ming.chen@connect.polyu.hk.
Tenghao LiDepartment of Applied Physics, The Hong Kong Polytechnic University, Hong Kong 999077, China. 14900295r@connect.polyu.hk.
Zhaohui LiSchool of Electronics and Information Technology, Sun Yat-Sen University, Guangzhou 510275, China. li_zhaohui@hotmail.com.
Jinlin LongSchool of Chemistry and Chemical Engineering, Fuzhou University, Fuzhou 350116, China. jllong@fzu.edu.cn.
Xuming ZhangDepartment of Applied Physics, The Hong Kong Polytechnic University, Hong Kong 999077, China. apzhang@polyu.edu.hk.

Funding

Hong Kong Polytechnic University 1-ZE14Hong Kong Polytechnic University 1-ZE27Hong Kong Polytechnic University 1-ZVGHHong Kong Polytechnic University 4-BCALHong Kong Polytechnic University G-YBPRNational Natural Science Foundation of China 61377068Research Grants Council of Hong Kong 152127/17EResearch Grants Council of Hong Kong 152184/15EResearch Grants Council of Hong Kong N_PolyU505/13
6 · The paper itself

Abstract

Optofluidics incorporates optics and microfluidics together to construct novel devices for microsystems, providing flexible reconfigurability and high compatibility. Among many novel devices, a prominent one is the in-plane optofluidic lens. It manipulates the light in the plane of the substrate, upon which the liquid sample is held. Benefiting from the compatibility, the in-plane optofluidic lenses can be incorporated into a single chip without complicated manual alignment and promises high integration density. In term of the tunability, the in-plane liquid lenses can be either tuned by adjusting the fluidic interface using numerous microfluidic techniques, or by modulating the refractive index of the liquid using temperature, electric field and concentration. In this paper, the in-plane liquid lenses will be reviewed in the aspects of operation mechanisms and recent development. In addition, their applications in lab-on-a-chip systems are also discussed.

Indexed as

in-plane liquid lenslab-on-a-chipmicrofluidicsoptofluidics

Identifiers

PMID30424031
PMCPMC6187471

What OpenQuestion holds

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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.