Evidence map›Paper›PMID 28596603›Full record

ArticleScientific reports2017

Nanorobotic System iTRo for Controllable 1D Micro/nano Material Twisting Test.

Haojian Lu, Wanfeng Shang, Xueyong Wei, Zhan Yang, Toshio Fukuda, Yajing Shen

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PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2017. 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. Smart Dust for Chemical Mapping.Advanced materials (Deerfield Beach, Fla.) · 2025
    Review
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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.

Haojian LuMechanical and Biomedical Engineering Department, City University of Hong Kong, Hong Kong, SAR 999077, China.
Wanfeng ShangMechanical Engineering Department, Xi'an University of Science and technology, Xi'an, 710054, China.
Xueyong WeiMechanical Engineering Department, Xi'an Jiaotong University, Xi'an, 710049, China.
Zhan YangRobotics and Microsystems Center, Soochow University, Suzhou, 215021, China.
Toshio FukudaInstitute for Advanced Research, Nagoya University, Nagoya, 464-0814, Japan.
Yajing ShenMechanical and Biomedical Engineering Department, City University of Hong Kong, Hong Kong, SAR 999077, China. yajishen@cityu.edu.hk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In-situ micro/nano characterization is an indispensable methodology for material research. However, the precise in-situ SEM twisting of 1D material with large range is still challenge for current techniques, mainly due to the testing device's large size and the misalignment between specimen and the rotation axis. Herein, we propose an in-situ twist test robot (iTRo) to address the above challenges and realize the precise in-situ SEM twisting test for the first time. Firstly, we developed the iTRo and designed a series of control strategies, including assembly error initialization, triple-image alignment (TIA) method for rotation axis alignment, deformation-based contact detection (DCD) method for sample assembly, and switch control for robots cooperation. After that, we chose three typical 1D material, i.e., magnetic microwire Fe

Identifiers

PMID28596603
PMCPMC5465204

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.