Evidence map›Paper›PMID 34436085›Full record

ArticleBiosensors2021

Color-Coded Droplets and Microscopic Image Analysis for Multiplexed Antibiotic Susceptibility Testing.

Yunjin Jeong, Haewook Jang, Junwon Kang, Juhong Nam, Kyoungseob Shin, Sunghoon Kwon, Jungil Choi

Abstract read
In one paragraph

Article in Biosensors, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. A Guide to Biodetection in Droplets.Analytical chemistry · 2024
    Review
  5. 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

7 authors.

Yunjin JeongBio-MAX Institute, Seoul National University, Seoul 08826, Korea.ORCID 0000-0001-8634-1612
Haewook JangInterdisciplinary Program in Bioengineering, Seoul National University, Seoul 08826, Korea.
Junwon KangInterdisciplinary Program in Bioengineering, Seoul National University, Seoul 08826, Korea.
Juhong NamDepartment of Electrical and Computer Engineering, Seoul National University, Seoul 08826, Korea.
Kyoungseob ShinDepartment of Electrical and Computer Engineering, Seoul National University, Seoul 08826, Korea.
Sunghoon KwonBio-MAX Institute, Seoul National University, Seoul 08826, Korea.
Jungil ChoiSchool of Mechanical Engineering, Kookmin University, 77 Jeongneung-ro, Seongbuk-gu, Seoul 02707, Korea.ORCID 0000-0002-3659-8978

Funding

Education and Research Program for Future ICT Pioneers the BK21 FOUR programNational Research Foundation of Korea 2019R1A2C1084419National Research Foundation of Korea 2021R1I1A1A01058783National Research Foundation of Korea NRF-2019R1C1C1009326NRF funded by the Ministry of Science and ICT (MSIT) 2015K1A4A3047345the K-BIO KIURI center through the Ministry of Science and ICT (MSIT) 2020M3H1A1073304the Ministry of Science and ICT (MSIT) of the Republic of Korea NRF-2020R1A3B3079653
6 · The paper itself

Abstract

Since the discovery of antibiotics, the emergence of antibiotic resistance has become a global issue that is threatening society. In the era of antibiotic resistance, finding the proper antibiotics through antibiotic susceptibility testing (AST) is crucial in clinical settings. However, the current clinical process of AST based on the broth microdilution test has limitations on scalability to expand the number of antibiotics that are tested with various concentrations. Here, we used color-coded droplets to expand the multiplexing of AST regarding the kind and concentration of antibiotics. Color type and density differentiate the kind of antibiotics and concentration, respectively. Microscopic images of a large view field contain numbers of droplets with different testing conditions. Image processing analysis detects each droplet, decodes color codes, and measures the bacterial growth in the droplet. Testing

Indexed as

Microbial Sensitivity TestsAmpicillinAnti-Bacterial AgentsBiosensing TechniquesDrug Resistance, MicrobialEquipment DesignEscherichia coliImage Processing, Computer-AssistedMicrofluidic Analytical TechniquesTetracyclineTime FactorsAmpicillinAnti-Bacterial AgentsTetracyclineantibiotic resistancecolor codedropletimage processingmultiplexed

Identifiers

PMID34436085
PMCPMC8393621

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.