Evidence map›Paper›PMID 29296494›Full record

ArticleBiomedical optics express2017

High-throughput imaging of zebrafish embryos using a linear-CCD-based flow imaging system.

Lifeng Liu, Guang Yang, Shoupeng Liu, Linbo Wang, Xibin Yang, Huiming Qu, Xiaofen Liu, Le Cao, Weijun Pan, Hui Li

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biomedical optics express, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.8field-weighted citation impact, top 30% of its field
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

4 citing papers in PubMed, 10 citations in OpenAlex.

  1. Artificial intelligence in imaging flow cytometry.Frontiers in bioinformatics · 2023
    Article
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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

10 authors at 4 institutions in 1 country.

Lifeng LiuSchool of Electronic Engineering and Optoelectronics Technology, Nanjing University of Science and Technology, Nanjing 210094, China.
Guang YangJiangsu Key Laboratory of Medical Optics, CAS Center for Excellence in Molecular Cell Science, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou 215163, China.
Shoupeng LiuJiangsu Key Laboratory of Medical Optics, CAS Center for Excellence in Molecular Cell Science, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou 215163, China.
Linbo WangJiangsu Key Laboratory of Medical Optics, CAS Center for Excellence in Molecular Cell Science, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou 215163, China.
Xibin YangJiangsu Key Laboratory of Medical Optics, CAS Center for Excellence in Molecular Cell Science, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou 215163, China.
Huiming QuSchool of Electronic Engineering and Optoelectronics Technology, Nanjing University of Science and Technology, Nanjing 210094, China.
Xiaofen LiuShanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200233, China.
Le CaoShanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200233, China.
Weijun PanShanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200233, China.
Hui LiJiangsu Key Laboratory of Medical Optics, CAS Center for Excellence in Molecular Cell Science, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou 215163, China.
Chinese Academy of Sciences · CNCenter for Excellence in Molecular Cell Science · CNNanjing University of Science and Technology · CNSuzhou Institute of Biomedical Engineering and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-throughput imaging and screening is essential for biomedical research and drug discovery using miniature model organisms such as zebrafish. This study introduces a high-speed imaging system which illuminates zebrafish embryos flowing through a capillary tube with a sheet of light and captures them using a linear charge-coupled device (CCD). This system can image dozens of zebrafish embryos per second. An image algorithm was developed to recognize each embryo and to perform automatic analysis. We distinguished dead and living embryos according to the gray level distribution and conducted statistics of morphological characteristics of embryos at different growing stages.

Indexed as

(170.0110) Imaging systems(170.0170) Medical optics and biotechnology(170.3880) Medical and biological imaging

Identifiers

PMID29296494
PMCPMC5745109
OpenAlexW2770699505

What OpenQuestion holds

Textmetadata
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.