Evidence map›Paper›PMID 31137867›Full record

ArticleMicromachines2019

Robotic Micropipette Aspiration for Multiple Cells.

Yaowei Liu, Maosheng Cui, Jingjing Huang, Mingzhu Sun, Xin Zhao, Qili Zhao

Abstract read
In one paragraph

Article in Micromachines, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Micropipette-based biomechanical nanotools on living cells.European biophysics journal : EBJ · 2022
    Review
  9. Article
  10. Article
  11. Review
  12. 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

6 authors.

Yaowei LiuInstitute of Robotics and Automatic Information System and the Tianjin Key Laboratory of Intelligent Robotics, Nankai University, Tianjin 300071, China. liuyaowei@mail.nankai.edu.cn.
Maosheng CuiInstitute of Animal Sciences, Tianjin 300112, China. tjxmcui2014@126.com.
Jingjing HuangInstitute of Animal Sciences, Tianjin 300112, China. hjingjing00@163.com.
Mingzhu SunInstitute of Robotics and Automatic Information System and the Tianjin Key Laboratory of Intelligent Robotics, Nankai University, Tianjin 300071, China. sunmz@nankai.edu.cn.
Xin ZhaoInstitute of Robotics and Automatic Information System and the Tianjin Key Laboratory of Intelligent Robotics, Nankai University, Tianjin 300071, China. zhaoxin@nankai.edu.cn.
Qili ZhaoInstitute of Robotics and Automatic Information System and the Tianjin Key Laboratory of Intelligent Robotics, Nankai University, Tianjin 300071, China. zhaoqili@nankai.edu.cn.

Funding

National Key R&D Program of China 2018YFB1304905National Natural Science Foundation of China U1613220National Natural Science Foundation of China U1813210Natural Science Foundation of Tianjin City 14JCZDJC31800Natural Science Foundation of Tianjin City 14ZCDZGX00801
6 · The paper itself

Abstract

As there are significant variations of cell elasticity among individual cells, measuring the elasticity of batch cells is required for obtaining statistical results of cell elasticity. At present, the micropipette aspiration (MA) technique is the most widely used cell elasticity measurement method. Due to a lack of effective cell storage and delivery methods, the existing manual and robotic MA methods are only capable of measuring a single cell at a time, making the MA of batch cells low efficiency. To address this problem, we developed a robotic MA system capable of storing multiple cells with a feeder micropipette (FM), picking up cells one-by-one to measure their elasticity with a measurement micropipette (MM). This system involved the following key techniques: Maximum permissible tilt angle of MM and FM determination, automated cell adhesion detection and cell adhesion break, and automated cell aspiration. The experimental results demonstrated that our system was able to continuously measure more than 20 cells with a manipulation speed quadrupled in comparison to existing methods. With the batch cell measurement ability, cell elasticity of pig ovum cultured in different environmental conditions was measured to find optimized culturing protocols for oocyte maturation.

Indexed as

cell detectioncell transportationforce analysismicropipette aspirationrobotic batch cell manipulationYoung’s modulus measurement

Identifiers

PMID31137867
PMCPMC6562722

What OpenQuestion holds

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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.