Evidence map›Paper›PMID 30384414›Full record

ArticleSensors (Basel, Switzerland)2018

Digital, Rapid, Accurate, and Label-Free Enumeration of Viable Microorganisms Enabled by Custom-Built On-Glass-Slide Culturing Device and Microscopic Scanning.

Donghui Song, Haomin Liu, Qiuchen Dong, Zichao Bian, Huixiang Wu, Yu Lei

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. 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

6 authors.

Donghui SongDepartment of Biomedical Engineering, University of Connecticut, Storrs, CT 06269, USA. donghui.song@uconn.edu.ORCID 0000-0001-9081-4275
Haomin LiuDepartment of Chemical and Biomolecular Engineering, University of Connecticut, Storrs, CT 06269, USA. haomin.liu@uconn.edu.
Qiuchen DongDepartment of Biomedical Engineering, University of Connecticut, Storrs, CT 06269, USA. qiuchen.dong@uconn.edu.
Zichao BianDepartment of Biomedical Engineering, University of Connecticut, Storrs, CT 06269, USA. zichao.bian@uconn.edu.
Huixiang WuKey Laboratory for Biorheological Science and Technology of Ministry of Education, State and Local Joint Engineering Laboratory for Vascular Implants, Bioengineering College of Chongqing University, Chongqing 400044, China. huixiangwu008@gmail.com.
Yu LeiDepartment of Biomedical Engineering, University of Connecticut, Storrs, CT 06269, USA. yu.lei@uconn.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurately measuring the number of viable microorganisms plays an essential role in microbiological studies. Since the conventional agar method of enumerating visible colonies is time-consuming and not accurate, efforts have been made towards overcoming these limitations by counting the invisible micro-colonies. However, none of studies on micro-colony counting was able to save significant time or provide accurate results. Herein, we developed an on-glass-slide cell culture device that enables rapid formation of micro-colonies on a 0.38 mm-thick gel film without suffering from nutrient and oxygen deprivation during bacteria culturing. Employing a phase contrast imaging setup, we achieved rapid microscopic scanning of micro-colonies within a large sample area on the thin film without the need of fluorescent staining. Using

Indexed as

digitalenumerationmicro-coloniesmicroscopic scanningviable microorganism

Identifiers

PMID30384414
PMCPMC6263752

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.