Evidence map›Paper›PMID 39979250›Full record

ArticleMicrosystems & nanoengineering2025

Design and developing a robot-assisted cell batch microinjection system for zebrafish embryo.

Xiangyu Guo, Antian Zhao, Youchao Zhang, Huanyu Jiang, Longhua Tang, Bo Lu, Yibin Ying, Mingchuan Zhou

Abstract read
In one paragraph

Article in Microsystems & nanoengineering, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
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  3. Review
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  6. 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

8 authors.

Xiangyu GuoRobotic Micro-nano Manipulation Lab, College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, China.ORCID http://orcid.org/0000-0003-3768-0719
Antian ZhaoRobotic Micro-nano Manipulation Lab, College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, China.ORCID http://orcid.org/0000-0003-2435-7859
Youchao ZhangRobotic Micro-nano Manipulation Lab, College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, China.
Huanyu JiangRobotic Micro-nano Manipulation Lab, College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, China.
Longhua TangCollege of Optical Science and Engineering, Zhejiang University, Hangzhou, China.
Bo LuRobotics and Microsystems Center, School of Mechanical and Electric Engineering, Soochow University, Suzhou, China.ORCID http://orcid.org/0000-0002-2858-1121
Yibin YingRobotic Micro-nano Manipulation Lab, College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, China.
Mingchuan ZhouRobotic Micro-nano Manipulation Lab, College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, China. mczhou@zju.edu.cn.ORCID http://orcid.org/0000-0002-6944-1483

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The microinjection of Zebrafish embryos is significant to life science and biomedical research. In this article, a novel automated system is developed for cell microinjection. A sophisticated microfluidic chip is designed to transport, hold, and inject cells continuously. For the first time, a microinjector with microforce perception is proposed and integrated within the enclosed microfluidic chip to judge whether cells have been successfully punctured. The deep learning model is employed to detect the yolk center of zebrafish embryos and locate the position of the injection needle within the yolk, which enables enhancing the precision of cell injection. A prototype is fabricated to achieve automatic batch microinjection. Experimental results demonstrated that the injection efficiency is about 20 seconds per cell. Cell puncture success rate and cell survival rate are 100% and 84%, respectively. Compared to manual operation, this proposed system improves cell operation efficiency and cell survival rate. The proposed microinjection system has the potential to greatly reduce the workload of the experimenters and shorten the relevant study period.

Identifiers

PMID39979250
PMCPMC11842578

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.