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The DOI matches its Crossref record; 40 of the 40 references it cites were found in a registry or an index.

An introduction to the wound healing assay using live-cell microscopy

Open access
Jonkman, James E. N., Cathcart, Judith A., Xu, Feng, Bartolini, Miria E., Amon, Jennifer E., Stevens, Katarzyna M., Colarusso, Pina·2014·Cell Adhesion & Migration

Abstract

The wound healing assay is used in a range of disciplines to study the coordinated movement of a cell population. In this technical review, we describe the workflow of the wound healing assay as monitored by optical microscopy. Although the assay is straightforward, a lack of standardization in its application makes it difficult to compare results and reproduce experiments among researchers. We recommend general guidelines for consistency, including: (1) sample preparation including the creation of the gap, (2) microscope equipment requirements, (3) image acquisition, and (4) the use of image analysis to measure the gap size and its rate of closure over time. We also describe parameters that are specific to the particular research question, such as seeding density and matrix coatings. All of these parameters must be carefully controlled within a given set of experiments in order to achieve accurate and reproducible results.

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Metadata

Authors
Jonkman, J. E. N., Cathcart, J. A., Xu, F., Bartolini, M. E., Amon, J. E., Stevens, K. M., & Colarusso, P.
Venue
Cell Adhesion & Migration
Published
2014-09-03
Volume
8
Issue
5
Pages
440-451
ISSN
  • 1933-6918 (ISSN-L)
  • 1933-6926
OpenAlex
W2168182874
Cited by
729
References
40
FWCI
8.25
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: An introduction to the wound healing assay using live-cell microscopy. https://app.cochat.ai/papers/10.4161/cam.36224
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Jonkman, J. E. N., Cathcart, J. A., Xu, F., Bartolini, M. E., Amon, J. E., Stevens, K. M., & Colarusso, P. (2014). An introduction to the wound healing assay using live-cell microscopy. Cell Adhesion & Migration. https://doi.org/10.4161/cam.36224

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.