Evidence map›Paper›PMID 33189683›Full record

ArticleBiophysical journal2020

Scanning Super-Resolution Imaging in Enclosed Environment by Laser Tweezer Controlled Superlens.

Yangdong Wen, Haibo Yu, Wenxiu Zhao, Pan Li, Feifei Wang, Zhixing Ge, Xiaoduo Wang, Lianqing Liu, Wen Jung Li

Abstract read
In one paragraph

Article in Biophysical journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Optical Tweezers in Emulsion Research: Principles, Advances, and Prospects.Langmuir : the ACS journal of surfaces and colloids · 2026
    Review
  2. Article
  3. 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

9 authors.

Yangdong WenState Key Laboratory of Robotics, Shenyang Institute of Automation, Shenyang, China; Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, China; University of the Chinese Academy of Sciences, Beijing, China.
Haibo YuState Key Laboratory of Robotics, Shenyang Institute of Automation, Shenyang, China; Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, China. Electronic address: yuhaibo@sia.cn.
Wenxiu ZhaoState Key Laboratory of Robotics, Shenyang Institute of Automation, Shenyang, China; Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, China; University of the Chinese Academy of Sciences, Beijing, China.
Pan LiState Key Laboratory of Robotics, Shenyang Institute of Automation, Shenyang, China; Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, China; University of the Chinese Academy of Sciences, Beijing, China.
Feifei WangDepartment of Chemistry, Stanford University, Stanford, California.
Zhixing GeState Key Laboratory of Robotics, Shenyang Institute of Automation, Shenyang, China; Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, China; University of the Chinese Academy of Sciences, Beijing, China.
Xiaoduo WangState Key Laboratory of Robotics, Shenyang Institute of Automation, Shenyang, China; Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, China.
Lianqing LiuState Key Laboratory of Robotics, Shenyang Institute of Automation, Shenyang, China; Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, China.
Wen Jung LiDepartment of Mechanical Engineering, City University of Hong Kong, Hong Kong, China. Electronic address: wenjli@cityu.edu.hk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Super-resolution imaging using microspheres has attracted tremendous scientific attention recently because it has managed to overcome the diffraction limit and allowed direct optical imaging of structures below 100 nm without the aid of fluorescent microscopy. To allow imaging of specific areas on the surface of samples, the migration of the microspheres to specific locations on two-dimensional planes should be controlled to be as precise as possible. The common approach involves the attachment of microspheres on the tip of a probe. However, this technology requires additional space for the probe and could not work in an enclosed environment, e.g., in a microfluidic enclosure, thereby reducing the range of potential applications for microlens-based super-resolution imaging. Herein, we explore the use of laser trapping to manipulate microspheres to achieve super-resolution imaging in an enclosed microfluidic environment. We have demonstrated that polystyrene microsphere lenses could be manipulated to move along designated routes to image features that are smaller than the optical diffraction limit. For example, a silver nanowire with a diameter of 90 nm could be identified and imaged. In addition, a mosaic image could be constructed by fusing a sequence of images of a sample in an enclosed environment. Moreover, we have shown that it is possible to image Escherichia coli bacteria attached on the surface of an enclosed microfluidic device with this method. This technology is expected to provide additional super-resolution imaging opportunities in enclosed environments, including microfluidic, lab-on-a-chip, and organ-on-a-chip devices.

Indexed as

Lab-On-A-Chip DevicesOptical TweezersMicrofluidicsMicroscopy, FluorescenceMicrospheres

Identifiers

PMID33189683
PMCPMC7822737

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.