Evidence map›Paper›PMID 32722676›Full record

ArticlePloS one2020

An image J plugin for the high throughput image analysis of in vitro scratch wound healing assays.

Alejandra Suarez-Arnedo, Felipe Torres Figueroa, Camila Clavijo, Pablo Arbeláez, Juan C Cruz, Carolina Muñoz-Camargo

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 488 papers.

0numbers the graph read from it
0cells of the map it votes in
488citing papers in PubMed
31.9field-weighted citation impact, top 1% 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

488 citing papers in PubMed, 763 citations in OpenAlex.

  1. Wound Healing Assay.Methods in molecular biology (Clifton, N.J.) · 2027
    Article
  2. Analysis of Migration and Invasion in Ewing Sarcoma.Methods in molecular biology (Clifton, N.J.) · 2027
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  6. Effect of Dermal Fibroblast-Conditioned Media on Human Dermal Fibroblasts Treated With Electromagnetic Transduction Therapy.Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI) · 2026
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428 more citing papers are in PubMed but not listed here.

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 at 1 institution in 1 country.

Alejandra Suarez-ArnedoDepartment of Biomedical Engineering, Universidad de los Andes, Bogotá, Colombia.
Felipe Torres FigueroaDepartment of Biomedical Engineering, Universidad de los Andes, Bogotá, Colombia.ORCID 0000-0001-6747-548X
Camila ClavijoDepartment of Biomedical Engineering, Universidad de los Andes, Bogotá, Colombia.
Pablo ArbeláezDepartment of Biomedical Engineering, Universidad de los Andes, Bogotá, Colombia.
Juan C CruzDepartment of Biomedical Engineering, Universidad de los Andes, Bogotá, Colombia.
Carolina Muñoz-CamargoDepartment of Biomedical Engineering, Universidad de los Andes, Bogotá, Colombia.ORCID 0000-0001-6238-9021
Universidad de Los Andes · CO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In vitro scratch wound healing assay, a simple and low-cost technique that works along with other image analysis tools, is one of the most widely used 2D methods to determine the cellular migration and proliferation in processes such as regeneration and disease. There are open-source programs such as imageJ to analyze images of in vitro scratch wound healing assays, but these tools require manual tuning of various parameters, which is time-consuming and limits image throughput. For that reason, we developed an optimized plugin for imageJ to automatically recognize the wound healing size, correct the average wound width by considering its inclination, and quantify other important parameters such as: area, wound area fraction, average wound width, and width deviation of the wound images obtained from a scratch/ wound healing assay. Our plugin is easy to install and can be used with different operating systems. It can be adapted to analyze both individual images and stacks. Additionally, it allows the analysis of images obtained from bright field, phase contrast, and fluorescence microscopes. In conclusion, this new imageJ plugin is a robust tool to automatically standardize and facilitate quantification of different in vitro wound parameters with high accuracy compared with other tools and manual identification.

Indexed as

SoftwareWound HealingCell LineCell MovementCulture Media, ConditionedHumansImage Processing, Computer-AssistedKeratinocytesMesenchymal Stem CellsReproducibility of ResultsCulture Media, Conditioned

Identifiers

PMID32722676
PMCPMC7386569
OpenAlexW3045497015

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.