Evidence map›Paper›PMID 32456288›Full record

ArticleMicromachines2020

High-Speed Manipulation of Microobjects Using an Automated Two-Fingered Microhand for 3D Microassembly.

Eunhye Kim, Masaru Kojima, Yasushi Mae, Tatsuo Arai

Abstract read
In one paragraph

Article in Micromachines, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. A Linearly Deformable Pneumatic Scalable Microgripper for Universal Mid-Air Micromanipulation.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  3. Article
  4. Article
  5. 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

4 authors.

Eunhye KimDepartment of Systems Innovation, Graduate School of Engineering Science, Osaka University, Osaka 560-8531, Japan.ORCID 0000-0001-6900-7671
Masaru KojimaDepartment of Systems Innovation, Graduate School of Engineering Science, Osaka University, Osaka 560-8531, Japan.
Yasushi MaeFaculty of Engineering Science, Kansai University, Osaka 564-8680, Japan.
Tatsuo AraiGlobal Alliance Laboratory, The University of Electro-Communications, Tokyo 182-8585, Japan.

Funding

the Ministry of Education, Culture, Sports, Science and Technology of Japan JP16H02321the Ministry of Education, Culture, Sports, Science and Technology of Japan JP16H06076
6 · The paper itself

Abstract

To assemble microobjects including biological cells quickly and precisely, a fully automated pick-and-place operation is applied. In micromanipulation in liquid, the challenges include strong adhesion forces and high dynamic viscosity. To solve these problems, a reliable manipulation system and special releasing techniques are indispensable. A microhand having dexterous motion is utilized to grasp an object stably, and an automated stage transports the object quickly. To detach the object adhered to one of the end effectors, two releasing methods-local stream and a dynamic releasing-are utilized. A system using vision-based techniques for the recognition of two fingertips and an object, as well automated releasing methods, can increase the manipulation speed to faster than 800 ms/sphere with a 100% success rate (

Indexed as

3D assemblyautomatic releasinghigh-speed motionlocal streammicromanipulationtissue engineering

Identifiers

PMID32456288
PMCPMC7281088

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.