Cited by 179Cell Image Analysis TechniquesCellular Mechanics and InteractionsMathematical Biology Tumor Growth

In vitro cell migration quantification method for scratch assays

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Bobadilla, Ana Victoria Ponce, Arévalo, Jazmine, Sarró, Eduard, Byrne, Helen M., Maini, Philip K., Carraro, Thomas, Balocco, Simone, Meseguer, Anna +1 more·2019·Journal of The Royal Society Interface

Abstract

The scratch assay is an in vitro technique used to assess the contribution of molecular and cellular mechanisms to cell migration. The assay can also be used to evaluate therapeutic compounds before clinical use. Current quantification methods of scratch assays deal poorly with irregular cell-free areas and crooked leading edges which are features typically present in the experimental data. We introduce a new migration quantification method, called ‘monolayer edge velocimetry’, that permits analysis of low-quality experimental data and better statistical classification of migration rates than standard quantification methods. The new method relies on quantifying the horizontal component of the cell monolayer velocity across the leading edge. By performing a classification test on in silico data, we show that the method exhibits significantly lower statistical errors than standard methods. When applied to in vitro data, our method outperforms standard methods by detecting differences in the migration rates between different cell groups that the other methods could not detect. Application of this new method will enable quantification of migration rates from in vitro scratch assay data that cannot be analysed using existing methods.

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  • The reliability and reproducibility of the wound healing assay can be severely impacted by many factors if they are not adequately controlled.

    “several articles highlight an increasing number of factors that can severely impact the reliability and reproducibility of the assay, if they are not adequately controlled [38,39,40,41,42]”
  • Protocols involving extracellular vesicles and glioblastoma cells are particularly poorly validated.

    “with protocols involving EVs and GB cells being particularly poorly validated.”

    From Optimized Wound Healing Assay to Study Extracellular Vesicle-Driven Glioblastoma Cell Migration (2026) · cites this paper as [41]

    The Introduction (p. 1) says scratch assays lack a standard method for quantifying cell migration, but it does not single out extracellular-vesicle or glioblastoma-cell protocols. Searches for those terms and for their abbreviations found no passage addressing whether such protocols are particularly poorly validated. (LLM, conf=0.76)

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Authors
Bobadilla, A. V. P., Arévalo, J., Sarró, E., Byrne, H. M., Maini, P. K., Carraro, T., Balocco, S., Meseguer, A., & Alarcón, T.
Affiliations
  • Heidelberg University (DE)
  • Vall d'Hebron Institut de Recerca (ES)
  • University of Oxford (GB)
  • Computer Vision Center (ES)
  • Universitat Autònoma de Barcelona (ES)
  • Institució Catalana de Recerca i Estudis Avançats (ES)
Corresponding author
Bobadilla, Ana Victoria Ponce
Venue
Journal of The Royal Society Interface
Published
2019-02
Volume
16
Issue
151
Pages
20180709
ISSN
  • 1742-5662 (ISSN-L)
  • 1742-5689
OpenAlex
W2913842809
Cited by
179
References
31
Citations by year
2026: 26 · 2025: 46 · 2024: 42 · 2023: 26 · 2022: 21 · 2021: 9 · 2020: 6 · 2019: 3
FWCI
4.72
Type
journal article
Language
en
Open access
Locations
  • Journal of The Royal Society Interface (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
  • arXiv (Cornell University) (submittedVersion)
  • RECERCAT (Consorci de Serveis Universitaris de Catalunya) (submittedVersion)
Funders
  • Ministerio de Ciencia e Innovación (SAF2014-59945-R, SAF2017-89989-R, SGR 1742, TIN2015-66951-C2-1-R)
  • CERCA Programme of the Generalitat de Catalunya
  • Mathematics for Industry Network (COST Action TD1409 short-term scientific missions)
  • Heidelberg Graduate School of Mathematical and Computational Methods for the Sciences (DFG grant GSC 220 in the German Universities Excel)
  • Consejo Nacional de Ciencia y Tecnología (411678)
  • Agència de Gestió de Ajuts Universitaris i Recerca (2014SGR1307)
  • Ministerio de Economía y Competitividad (MDM-2014-0445, MTM2015-71509-C2-1-R)
  • Red de Investigación Renal REDinREN (12/0021/0013)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Biophysics › Cell Image Analysis Techniques
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Cell Biology › Cellular Mechanics and Interactions
  • Physical Sciences › Mathematics › Modeling and Simulation › Mathematical Biology Tumor Growth
Keywords
scratch assay, statistical errors
MeSH terms
Cell Movement, Computer Simulation, Humans, Models, Biological, Cell Line, Tumor, Cell Proliferation

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