Evidence map›Paper›PMID 27999349›Full record

ArticleSensors (Basel, Switzerland)2016

Vision Marker-Based In Situ Examination of Bacterial Growth in Liquid Culture Media.

Kyukwang Kim, Duckyu Choi, Hwijoon Lim, Hyeongkeun Kim, Jessie S Jeon

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2016. 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
–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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Recent Advancements towards Full-System Microfluidics.Sensors (Basel, Switzerland) · 2017
    Article
  4. 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

5 authors.

Kyukwang KimUrban Robotics Laboratory, Korea Advanced Institute of Science and Technology, 291 Daehak-ro, Daejeon 34141, Korea. kkim0214@kaist.ac.kr.
Duckyu ChoiDepartment of Mechanical Engineering, Korea Advanced Institute of Science and Technology, 291 Daehak-ro, Daejeon 34141, Korea. duckyu@kaist.ac.kr.
Hwijoon LimSchool of Electrical Engineering, Korea Advanced Institute of Science and Technology, 291 Daehak-ro, Daejeon 34141, Korea. wjuni@kaist.ac.kr.
Hyeongkeun KimDepartment of Mechanical Engineering, Korea Advanced Institute of Science and Technology, 291 Daehak-ro, Daejeon 34141, Korea. hkkim1227@kaist.ac.kr.
Jessie S JeonDepartment of Mechanical Engineering, Korea Advanced Institute of Science and Technology, 291 Daehak-ro, Daejeon 34141, Korea. jsjeon@kaist.ac.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The detection of bacterial growth in liquid media is an essential process in determining antibiotic susceptibility or the level of bacterial presence for clinical or research purposes. We have developed a system, which enables simplified and automated detection using a camera and a striped pattern marker. The quantification of bacterial growth is possible as the bacterial growth in the culturing vessel blurs the marker image, which is placed on the back of the vessel, and the blurring results in a decrease in the high-frequency spectrum region of the marker image. The experiment results show that the FFT (fast Fourier transform)-based growth detection method is robust to the variations in the type of bacterial carrier and vessels ranging from the culture tubes to the microfluidic devices. Moreover, the automated incubator and image acquisition system are developed to be used as a comprehensive

Indexed as

AlgorithmsCulture MediaDimethylpolysiloxanesEscherichia coliFourier AnalysisImaging, Three-DimensionalLab-On-A-Chip DevicesPattern Recognition, AutomatedPseudomonas aeruginosaTime FactorsCulture MediaDimethylpolysiloxanesbacterial growthfast Fourier transformationmicrofluidicsvision marker

Identifiers

PMID27999349
PMCPMC5191158

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.