Cell Migration Assays and Their Application to Wound Healing Assays—A Critical Review
Open accessAbstract
In recent years, cell migration assays (CMAs) have emerged as a tool to study the migration of cells along with their physiological responses under various stimuli, including both mechanical and bio-chemical properties. CMAs are a generic system in that they support various biological applications, such as wound healing assays. In this paper, we review the development of the CMA in the context of its application to wound healing assays. As such, the wound healing assay will be used to derive the requirements on CMAs. This paper will provide a comprehensive and critical review of the development of CMAs along with their application to wound healing assays. One salient feature of our methodology in this paper is the application of the so-called design thinking; namely we define the requirements of CMAs first and then take them as a benchmark for various developments of CMAs in the literature. The state-of-the-art CMAs are compared with this benchmark to derive the knowledge and technological gap with CMAs in the literature. We will also discuss future research directions for the CMA together with its application to wound healing assays.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
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]”
From Optimized Wound Healing Assay to Study Extracellular Vesicle-Driven Glioblastoma Cell Migration (2026) · cites this paper as [38]
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 [38]
The Discussion, §3.1, describes consistency problems in cell-migration assays generally, but does not assess validation of protocols involving extracellular vesicles or glioblastoma cells. Searches for those terms and for protocol validation found only an extracellular-vesicles title in the References, not the claimed comparison. (LLM, conf=0.74)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Gurtner, G. C., Werner, S., Barrandon, Y., & Longaker, M. T. (2008) · Nature · doi:10.1038/nature07039 · Cited by 6,542 · see citing works
In vitro scratch assay: a convenient and inexpensive method for analysis of cell migration in vitro
Liang, C.-C., Park, A. Y., & Guan, J.-L. (2007) · Nature Protocols · doi:10.1038/nprot.2007.30 · Cited by 4,696 · see citing works
Pathophysiology of acute wound healing
Li, J., Chen, J., & Kirsner, R. S. (2007) · Clinics in Dermatology · doi:10.1016/j.clindermatol.2006.09.007 · Cited by 3,997 · see citing works
Bhatia, S. N., & Ingber, D. E. (2014) · Nature Biotechnology · doi:10.1038/nbt.2989 · Cited by 3,305 · see citing works
Wound Healing: A Cellular Perspective.
Rodrigues, M., Kosaric, N., Bonham, C., & Gurtner, G. (2019) · Physiological Reviews · doi:10.1152/physrev.00067.2017 · Cited by 2,752 · see citing works
The Wound Healing Process: An Overview of the Cellular and Molecular Mechanisms
Velnar, T., Bailey, T. A., & Smrkolj, V. (2009) · Journal of International Medical Research · doi:10.1177/147323000903700531 · Cited by 2,446 · see citing works
Pahl, G., Beitz, W., Feldhusen, J., & Grote, K.-H. (2007) · Springer eBooks · doi:10.1007/978-1-84628-319-2 · Cited by 1,568 · see citing works
Deep learning for cellular image analysis
Moen, E., Bannon, D., Kudo, T., Graf, W., Covert, M., & Van Valen, D. (2019) · Nature Methods · doi:10.1038/s41592-019-0403-1 · Cited by 1,225 · see citing works
Integrin-mediated mechanotransduction
Sun, Z., Guo, S., & Fässler, R. (2016) · The Journal of Cell Biology · doi:10.1083/jcb.201609037 · Cited by 1,079 · see citing works
Mechanical regulation of cell function with geometrically modulated elastomeric substrates
Fu, J., Wang, Y.-K., Yang, M. T., Desai, R. A., Yu, X., Liu, Z., & Chen, C. S. (2010) · Nature Methods · doi:10.1038/nmeth.1487 · Cited by 1,073 · see citing works
Liu, X., Liu, J., Lin, S., & Zhao, X. (2020) · Materials Today · doi:10.1016/j.mattod.2019.12.026 · Cited by 1,023 · see citing works
Collective migration of an epithelial monolayer in response to a model wound
Poujade, M., Grasland‐Mongrain, E., Hertzog, A., Jouanneau, J., Chavrier, P., Ladoux, B., Buguin, A., & Silberzan, P. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0705062104 · Cited by 898 · see citing works
Mechanisms of 3D cell migration
Yamada, K. M., & Sixt, M. (2019) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-019-0172-9 · Cited by 889 · see citing works
Functional and Biomimetic Materials for Engineering of the Three-Dimensional Cell Microenvironment
Huang, G., Li, F., Zhao, X., Ma, Y., Li, Y., Lin, M., Jin, G., Lu, T. J., Genin, G. M., & Xu, F. (2017) · Chemical Reviews · doi:10.1021/acs.chemrev.7b00094 · Cited by 825 · see citing works
An introduction to the wound healing assay using live-cell microscopy
Jonkman, J. E. N., Cathcart, J. A., Xu, F., Bartolini, M. E., Amon, J. E., Stevens, K. M., & Colarusso, P. (2014) · Cell Adhesion & Migration · doi:10.4161/cam.36224 · Cited by 735 · see citing works
Taguchi's Parameter Design: A Panel Discussion
Nair, V. N., Abraham, B., MacKay, J., Box, G., Kacker, R. N., Lorenzen, T. J., Lucas, J. M., Myers, R. H., Vining, G. G., Nelder, J. A., et al. (1992) · Technometrics · doi:10.2307/1269231 · Cited by 714 · see citing works
Fabrication and Applications of Microfluidic Devices: A Review
Niculescu, A.-G., Chircov, C., Bîrcă, A. C., & Grumezescu, A. M. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22042011 · Cited by 702 · see citing works
The effect of substrate stiffness on adult neural stem cell behavior
Leipzig, N. D., & Shoichet, M. S. (2009) · Biomaterials · doi:10.1016/j.biomaterials.2009.09.002 · Cited by 686 · see citing works
In vitro Cell Migration, Invasion, and Adhesion Assays: From Cell Imaging to Data Analysis
Pijuan, J., Barceló, C., Moreno, D. F., Maiques, Ó., Sisó, P., Marti, R. M., Macià, A., & Panosa, A. (2019) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2019.00107 · Cited by 572 · see citing works
(2005) · PubMed · Cited by 567 · see citing works
Quantifying forces in cell biology
Roca‐Cusachs, P., Conte, V., & Trepat, X. (2017) · Nature Cell Biology · doi:10.1038/ncb3564 · Cited by 499 · see citing works
Measuring cell-generated forces: a guide to the available tools
Polacheck, W. J., & Chen, C. S. (2016) · Nature Methods · doi:10.1038/nmeth.3834 · Cited by 483 · see citing works
Stiffness Gradients Mimicking In Vivo Tissue Variation Regulate Mesenchymal Stem Cell Fate
Tse, J. R., & Engler, A. J. (2011) · PLoS ONE · doi:10.1371/journal.pone.0015978 · Cited by 456 · see citing works
Forcing Stem Cells to Behave: A Biophysical Perspective of the Cellular Microenvironment
Sun, Y., Chen, C. S., & Fu, J. (2012) · Annual Review of Biophysics · doi:10.1146/annurev-biophys-042910-155306 · Cited by 425 · see citing works
Electrical wound-healing assay for cells in vitro
Keese, C. R., Wegener, J., Walker, S. R., & Giæver, I. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0307588100 · Cited by 423 · see citing works
Cell Migration and Invasion Assays as Tools for Drug Discovery
Hulkower, K. I., & Herber, R. (2011) · Pharmaceutics · doi:10.3390/pharmaceutics3010107 · Cited by 397 · see citing works
Electroconductive natural polymer-based hydrogels
Shi, Z., Gao, X., Ullah, M. W., Li, S., Wang, Q., & Yang, G. (2016) · Biomaterials · doi:10.1016/j.biomaterials.2016.09.020 · Cited by 392 · see citing works
Rigidity-driven growth and migration of epithelial cells on microstructured anisotropic substrates
Saez, A., Ghibaudo, M., Buguin, A., Silberzan, P., & Ladoux, B. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0702259104 · Cited by 381 · see citing works
Traction force microscopy in physics and biology
Style, R. W., Boltyanskiy, R., German, G. K., Hyland, C., MacMinn, C. W., Mertz, A. F., Wilen, L. A., Xu, Y., & Dufresne, E. R. (2014) · Soft Matter · doi:10.1039/c4sm00264d · Cited by 349 · see citing works
Yang, S., Lv, S., Zhang, W., & Cui, Y. (2022) · Sensors · doi:10.3390/s22041620 · Cited by 313 · see citing works
Self-citationBiohybrid robot powered by an antagonistic pair of skeletal muscle tissues
Morimoto, Y., Onoe, H., & Takeuchi, S. (2018) · Science Robotics · doi:10.1126/scirobotics.aat4440 · Cited by 303 · see citing works
Recent advances in microfluidic technologies for cell-to-cell interaction studies
Rothbauer, M., Zirath, H., & Ertl, P. (2018) · Lab on a Chip · doi:10.1039/c7lc00815e · Cited by 277 · see citing works
Microfluidic platforms for mechanobiology
Polacheck, W. J., Li, R., Uzel, S. G. M., & Kamm, R. D. (2013) · Lab on a Chip · doi:10.1039/c3lc41393d · Cited by 272 · cited 1× · see citing works
“Polacheck et al. described microfluidic devices as promising platforms to elicit cell migration in biological systems such as blood vessels [49].”
BackgroundMechanical regulation of mesenchymal stem cell differentiation
Steward, A. J., & Kelly, D. J. (2014) · Journal of Anatomy · doi:10.1111/joa.12243 · Cited by 264 · see citing works
Controlling Self-Renewal and Differentiation of Stem Cells via Mechanical Cues
Nava, M. M., Raimondi, M. T., & Pietrabissa, R. (2012) · BioMed Research International · doi:10.1155/2012/797410 · Cited by 227 · see citing works
Flexible Microfluidics: Fundamentals, Recent Developments, and Applications
Fallahi, H., Zhang, J., Phan, H., & Nguyen, N. (2019) · Micromachines · doi:10.3390/mi10120830 · Cited by 227 · see citing works
The Role of Calcium in Wound Healing
Subramaniam, T., Fauzi, M. B., Lokanathan, Y., & Law, J. X. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22126486 · Cited by 223 · see citing works
A Simplified Method for Quantifying Cell Migration/Wound Healing in 96-Well Plates
Yue, P. Y., Leung, E. P. Y., Mak, N. K., & Wong, R. N. (2010) · SLAS DISCOVERY · doi:10.1177/1087057110361772 · Cited by 196 · see citing works
Recent trends in mechanical micropumps and their applications: A review
Mohith, S., Karanth, P. N., & Kulkarni, S. M. (2019) · Mechatronics · doi:10.1016/j.mechatronics.2019.04.009 · Cited by 190 · see citing works
Switchable Bifunctional Stimuli‐Triggered Poly‐N‐Isopropylacrylamide/DNA Hydrogels
Guo, W., Lü, C., Qi, X., Orbach, R., Fadeev, M., Yang, H., & Willner, I. (2014) · Angewandte Chemie International Edition · doi:10.1002/anie.201405692 · Cited by 190 · see citing works
Advances in Wound-Healing Assays for Probing Collective Cell Migration
Riahi, R., Yang, Y., Zhang, D. D., & Wong, P. K. (2012) · SLAS TECHNOLOGY · doi:10.1177/2211068211426550 · Cited by 185 · see citing works
Quantitative Evaluation of Mechanosensing of Cells on Dynamically Tunable Hydrogels
Yoshikawa, H., Rossetti, F. F., Kaufmann, S., Kaindl, T., Madsen, J., Engel, U., Lewis, A. L., Armes, S. P., & Tanaka, M. (2011) · Journal of the American Chemical Society · doi:10.1021/ja1060615 · Cited by 183 · see citing works
Integrating biological vasculature into a multi-organ-chip microsystem
Schimek, K. M. S., Busek, M., Brincker, S., Groth, B., Hoffmann, S., Lauster, R., Lindner, G., Lorenz, A., Menzel, U., Sonntag, F., et al. (2013) · Lab on a Chip · doi:10.1039/c3lc50217a · Cited by 177 · see citing works
On Definition of Deep Learning
Zhang, W., Yang, G., Lin, Y., Ji, C., & Gupta, M. M. (2018) · World Automation Congress (WAC) · doi:10.23919/wac.2018.8430387 · Cited by 170 · see citing works
Self-citationPhysically based principles of cell adhesion mechanosensitivity in tissues
Ladoux, B., & Nicolas, A. (2012) · Reports on Progress in Physics · doi:10.1088/0034-4885/75/11/116601 · Cited by 162 · see citing works
Gillette, B. M., Jensen, J. A., Wang, M., Tchao, J., & Sia, S. K. (2009) · Advanced Materials · doi:10.1002/adma.200902265 · Cited by 160 · see citing works
In vitro wound healing assays – state of the art
Stamm, A., Reimers, K., Strauß, S., Vogt, P. M., Scheper, T. H., & Pepelanova, I. (2016) · BioNanoMaterials · doi:10.1515/bnm-2016-0002 · Cited by 153 · see citing works
On-chip cell migration assay using microfluidic channels
Nie, F.-Q., Yamada, M., Kobayashi, J., Yamato, M., Kikuchi, A., & Okano, T. (2007) · Biomaterials · doi:10.1016/j.biomaterials.2007.05.037 · Cited by 150 · see citing works
A microfluidic wound-healing assay for quantifying endothelial cell migration
van der Meer, A. D., Vermeul, K., Poot, A. A., Feijén, J., & Vermes, I. (2009) · American Journal of Physiology-Heart and Circulatory Physiology · doi:10.1152/ajpheart.00933.2009 · Cited by 146 · see citing works
Flow-induced stress on adherent cells in microfluidic devices
Shemesh, J., Jalilian, I., Shi, A., Heng Yeoh, G., Knothe Tate, M. L., & Ebrahimi Warkiani, M. (2015) · Lab on a Chip · doi:10.1039/c5lc00633c · Cited by 144 · see citing works
Uncoiling Mechanics of Escherichia coli Type I Fimbriae Are Optimized for Catch Bonds
Forero-Shelton, M., Yakovenko, O., Sokurenko, E. V., Thomas, W. E., & Viola Vogel, B. (2006) · PLoS Biology · doi:10.1371/journal.pbio.0040298 · Cited by 140 · see citing works
Methods of Delivering Mechanical Stimuli to Organ-on-a-Chip
Kaarj, K., & Yoon, J. (2019) · Micromachines · doi:10.3390/mi10100700 · Cited by 140 · see citing works
Mesenchymal stem cell mechanobiology and emerging experimental platforms
MacQueen, L. A., Sun, Y., & Simmons, C. A. (2013) · Journal of The Royal Society Interface · doi:10.1098/rsif.2013.0179 · Cited by 139 · see citing works
Atomic Force Mechanobiology of Pluripotent Stem Cell-Derived Cardiomyocytes
Liu, J., Sun, N., Bruce, M. A., Wu, J. C., & Butte, M. J. (2012) · PLoS ONE · doi:10.1371/journal.pone.0037559 · Cited by 138 · see citing works
Engineered Models of Confined Cell Migration
Paul, C. D., Hung, W.-C., Wirtz, D., & Κωνσταντόπουλος, Κ. (2016) · Annual Review of Biomedical Engineering · doi:10.1146/annurev-bioeng-071114-040654 · Cited by 134 · see citing works
Liu, H., Korc, M., & Lin, C. (2018) · Biomaterials · doi:10.1016/j.biomaterials.2018.01.012 · Cited by 134 · see citing works
Schoen, I., Pruitt, B. L., & Viola Vogel, B. (2013) · Annual Review of Materials Research · doi:10.1146/annurev-matsci-062910-100407 · Cited by 132 · see citing works
Liu, L., Shadish, J. A., Arakawa, C. K., Shi, K. Y., Davis, J., & DeForest, C. A. (2018) · Advanced Biosystems · doi:10.1002/adbi.201800240 · Cited by 127 · see citing works
Huber, D., Oskooei, A., Solvas, X. C. I., deMello, A. J., & Kaigala, G. V. (2018) · Chemical Reviews · doi:10.1021/acs.chemrev.7b00317 · Cited by 125 · see citing works
An end-user perspective on Organ-on-a-Chip: Assays and usability aspects
Junaid, A., Mashaghi, A., Hankemeier, T., & Vulto, P. (2017) · Current Opinion in Biomedical Engineering · doi:10.1016/j.cobme.2017.02.002 · Cited by 123 · see citing works
Gelmi, A. A., Cieślar‐Pobuda, A., de Muinck, E. D., Łoś, M., Rafat, M., & Jager, E. W. H. (2016) · Advanced Healthcare Materials · doi:10.1002/adhm.201600307 · Cited by 120 · see citing works
Tony, A., Badea, I., Yang, C., Liu, Y., Wells, G., Wang, K., Yin, R., Zhang, H., & Zhang, W. (2023) · Polymers · doi:10.3390/polym15081926 · Cited by 116 · see citing works
Self-citationEfficient Drug Screening and Nephrotoxicity Assessment on Co-culture Microfluidic Kidney Chip
Yin, L., Du, G., Zhang, B., Zhang, H., Yin, R., Zhang, W., & Yang, S. (2020) · Scientific Reports · doi:10.1038/s41598-020-63096-3 · Cited by 114 · see citing works
Self-citationTian, F., Cai, L., Chang, J., Li, S., Liu, C., Li, T., & Sun, J. (2018) · Lab on a Chip · doi:10.1039/c8lc00700d · Cited by 113 · see citing works
On domain modelling of the service system with its application to enterprise information systems
Wang, J., Wang, H., Ding, J., Furuta, K., Kanno, T., Ip, W. H., & Zhang, W. (2013) · Enterprise Information Systems · doi:10.1080/17517575.2013.810784 · Cited by 109 · see citing works
Self-citationModularity Technology in Manufacturing: Taxonomy and Issues
Bi, Z., & Zhang, W. (2001) · The International Journal of Advanced Manufacturing Technology · doi:10.1007/s001700170062 · Cited by 105 · see citing works
Self-citationZhang, Q. S., Chen, D., Yang, Q., & Zhang, W. (2011) · The International Journal of Advanced Manufacturing Technology · doi:10.1007/s00170-011-3771-y · Cited by 92 · see citing works
Self-citationSoft robotics: Definition and research issues
Chen, A., Yin, R., Cao, L., Yuan, C., Ding, H., & Zhang, W. (2017) · International Conference on Mechatronics and Machine Vision in Practice (M2VIP) · doi:10.1109/m2vip.2017.8267170 · Cited by 90 · see citing works
Self-citationBiomechanical Characterization at the Cell Scale: Present and Prospects
Basoli, F., Giannitelli, S. M., Gori, M., Mozetic, P., Bonfanti, A., Trombetta, M., & Rainer, A. (2018) · Frontiers in Physiology · doi:10.3389/fphys.2018.01449 · Cited by 88 · see citing works
Integrated design and operation management for enterprise systems
Zhang, W., Wang, J., & Lin, Y. (2019) · Enterprise Information Systems · doi:10.1080/17517575.2019.1597169 · Cited by 86 · see citing works
Self-citationDynamic control of hydrogel crosslinking via sortase-mediated reversible transpeptidation
Arkenberg, M. R., Moore, D. M., & Lin, C. (2018) · Acta Biomaterialia · doi:10.1016/j.actbio.2018.11.011 · Cited by 82 · see citing works
A high throughput, interactive imaging, bright‐field wound healing assay
Zordan, M. D., Mill, C. P., Riese, D. J., & Leary, J. F. (2011) · Cytometry Part A · doi:10.1002/cyto.a.21029 · Cited by 77 · see citing works
Sun, Y.-S., Peng, S.-W., & Cheng, J. (2012) · Biomicrofluidics · doi:10.1063/1.4750486 · Cited by 75 · see citing works
Design theory and methodology for enterprise systems
Zhang, W., & Wang, J. (2016) · Enterprise Information Systems · doi:10.1080/17517575.2015.1080860 · Cited by 75 · see citing works
Self-citationTowards a novel interface design framework: function–behavior–state paradigm
Lin, Y., & Zhang, W. (2004) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2003.11.008 · Cited by 73 · see citing works
Self-citationKratz, S. R. A., Eilenberger, C., Schuller, P., Bachmann, B., Spitz, S., Ertl, P., & Rothbauer, M. (2019) · Scientific Reports · doi:10.1038/s41598-019-45633-x · Cited by 73 · see citing works
Contardi, M., Russo, D., Suarato, G., Heredia‐Guerrero, J. A., Ceseracciu, L., Penna, I., Margaroli, N., Summa, M., Spanò, R., Tassistro, G., et al. (2018) · Chemical Engineering Journal · doi:10.1016/j.cej.2018.10.048 · Cited by 71 · see citing works
A new mechanobiological era: microfluidic pathways to apply and sense forces at the cellular level
Kurth, F., Eyer, K., Franco‐Obregón, A., & Dittrich, P. S. (2012) · Current Opinion in Chemical Biology · doi:10.1016/j.cbpa.2012.03.014 · Cited by 70 · see citing works
Monfared, G. S., Ertl, P., & Rothbauer, M. (2020) · Scientific Reports · doi:10.1038/s41598-020-73055-7 · Cited by 70 · see citing works
Modular microfluidics for point-of-care protein purifications
Millet, L. J., Lucheon, J. D., Standaert, R. F., Retterer, S. T., & Doktycz, M. J. (2015) · Lab on a Chip · doi:10.1039/c5lc00094g · Cited by 67 · see citing works
Pena, A., Chen, X., Pence, I. J., Bornschlögl, T., Jeong, S., Grégoire, S., Luengo, G. S., Hallegot, P., Obeidy, P., Feizpour, A., et al. (2020) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2020.03.003 · Cited by 65 · see citing works
Sticker, D., Lechner, S., Jungreuthmayer, C., Zanghellini, J., & Ertl, P. (2017) · Analytical Chemistry · doi:10.1021/acs.analchem.6b03886 · Cited by 63 · see citing works
Standardized and modular microfluidic platform for fast Lab on Chip system development
Dekker, S., Buesink, W., Blom, M., Alessio, M., Verplanck, N., Hihoud, M., Déhan, C., César, W., Nel, A. L., van den Berg, A., et al. (2018) · Sensors and Actuators B Chemical · doi:10.1016/j.snb.2018.04.005 · Cited by 63 · see citing works
Saïas, L., Autebert, J., Malaquin, L., & Viovy, J. (2011) · Lab on a Chip · doi:10.1039/c0lc00304b · Cited by 59 · see citing works
Taylor, M., Jaunky, T., Hewitt, K., Breheny, D., Lowe, F., Fearon, I. M., & Gaça, M. (2017) · Toxicology Letters · doi:10.1016/j.toxlet.2017.06.001 · Cited by 57 · see citing works
Microdroplet chain array for cell migration assays
Ma, Y., Pan, J., Zhao, S.-P., Lou, Q., Zhu, Y., & Fang, Q. (2016) · Lab on a Chip · doi:10.1039/c6lc00823b · Cited by 50 · see citing works
Lin, J.-Y., Lo, K., & Sun, Y.-S. (2019) · Scientific Reports · doi:10.1038/s41598-019-56753-9 · Cited by 47 · see citing works
Yin, R., He, J., Bai, M., Huang, C. X., Wang, K., Zhang, H., Yang, S., & Zhang, W. (2018) · Materials Science and Engineering C · doi:10.1016/j.msec.2018.11.032 · Cited by 45 · see citing works
Self-citationFu, L., Haage, A., Kong, N., Tanentzapf, G., & Li, H. (2019) · Chemical Communications · doi:10.1039/c9cc01276a · Cited by 42 · see citing works
Hybrid Microgels with Thermo‐Tunable Elasticity for Controllable Cell Confinement
Hackelbusch, S., Rossow, T., Steinhilber, D., Weitz, D. A., & Seiffert, S. (2015) · Advanced Healthcare Materials · doi:10.1002/adhm.201500359 · Cited by 41 · see citing works
The role of initial geometry in experimental models of wound closing
Jin, W., Lo, K., Chou, S., McCue, S. W., & Simpson, M. J. (2018) · Chemical Engineering Science · doi:10.1016/j.ces.2018.01.004 · Cited by 41 · see citing works
Microfluidic Lab-on-a-Chip for Studies of Cell Migration under Spatial Confinement
Sala, F., Ficorella, C., Osellame, R., Käs, J. A., & Vàzquez, R. M. (2022) · Biosensors · doi:10.3390/bios12080604 · Cited by 38 · see citing works
Recent advances in microfluidics-based cell migration research
Ren, J., Wang, N., Guo, P., Fan, Y., Lin, F., & Wu, J. (2022) · Lab on a Chip · doi:10.1039/d2lc00397j · Cited by 38 · see citing works
Microfluidic and Lab-on-a-Chip Systems for Cutaneous Wound Healing Studies
Monfared, G. S., Ertl, P., & Rothbauer, M. (2021) · Pharmaceutics · doi:10.3390/pharmaceutics13060793 · Cited by 37 · see citing works
A simple microfluidic strategy for cell migration assay in an in vitro wound‐healing model
Zhang, M., Li, H., Ma, H., & Qin, J. (2013) · Wound Repair and Regeneration · doi:10.1111/wrr.12106 · Cited by 37 · see citing works
Axiomatic design theory: further notes and its guideline to applications
Fan, L., Cai, M., Lin, Y., & Zhang, W. (2015) · International Journal of Materials and Product Technology · doi:10.1504/ijmpt.2015.072557 · Cited by 36 · see citing works
Self-citationAlqurashi, H., Asencio, Í. O., & Lambert, D. (2020) · Tissue Engineering Part B Reviews · doi:10.1089/ten.teb.2020.0222 · Cited by 34 · see citing works
Tape-Assisted Photolithographic-Free Microfluidic Chip Cell Patterning for Tumor Metastasis Study
Zhao, L., Guo, T., Wang, L., Liu, Y., Chen, G., Zhou, H., & Zhang, M. (2017) · Analytical Chemistry · doi:10.1021/acs.analchem.7b03225 · Cited by 32 · see citing works
Stamp Wound Assay for Studying Coupled Cell Migration and Cell Debris Clearance
Lee, J., Wang, Y., Ren, F., & Lele, T. P. (2010) · Langmuir · doi:10.1021/la103542y · Cited by 31 · see citing works
Microfluidic traction force microscopy to study mechanotransduction in angiogenesis
Boldock, L., Wittkowske, C., & Perrault, C. M. (2017) · Microcirculation · doi:10.1111/micc.12361 · Cited by 31 · see citing works
A high flow rate thermal bubble-driven micropump with induction heating
Liu, B., Sun, J., Li, D., Zhe, J., & Oh, K. W. (2016) · Microfluidics and Nanofluidics · doi:10.1007/s10404-016-1822-2 · Cited by 31 · see citing works
Where No Hand Has Gone Before: Probing Mechanobiology at the Cellular Level
Matellan, C., & Hernández, A. E. D. R. (2018) · ACS Biomaterials Science & Engineering · doi:10.1021/acsbiomaterials.8b01206 · Cited by 30 · see citing works
Vivas, A., van den Berg, A., Passier, R. C., Odijk, M., & van der Meer, A. D. (2022) · Lab on a Chip · doi:10.1039/d1lc00999k · Cited by 29 · see citing works
Microphysiological systems for the modeling of wound healing and evaluation of pro-healing therapies
Deal, H. E., Brown, A. C., & Daniele, M. A.-A. (2020) · Journal of Materials Chemistry B · doi:10.1039/d0tb00544d · Cited by 24 · see citing works
Li, J., Wei, J., Liu, Y., Liu, B., Liu, T., Jiang, Y., Ding, L., & Liu, C. (2017) · Lab on a Chip · doi:10.1039/c7lc00343a · Cited by 24 · see citing works
A New In Vitro Model to Study Cellular Responses after Thermomechanical Damage in Monolayer Cultures
Alice, H., Werner, S., Eick, S., Laufer, S., & Weise, F. (2013) · PLoS ONE · doi:10.1371/journal.pone.0082635 · Cited by 19 · see citing works
Gao, A., Tian, Y., Shi, Z., & Yu, L. D. (2015) · BioChip Journal · doi:10.1007/s13206-016-0108-9 · Cited by 18 · see citing works
DeepScratch: Single-cell based topological metrics of scratch wound assays
Javer, A., Rittscher, J., & Sailem, H. (2020) · Computational and Structural Biotechnology Journal · doi:10.1016/j.csbj.2020.08.018 · Cited by 18 · see citing works
Measuring Biological Impacts of Nanomaterials
Wegener, J. (2016) · Bioanalytical reviews · doi:10.1007/978-3-319-24823-3 · Cited by 17 · see citing works
Oldenburg, J., Maletzki, L., Strohbach, A., Bellé, P., Siewert, S., Busch, R., Felix, S. B., Schmitz, K.-P., & Stiehm, M. (2021) · BMC Molecular and Cell Biology · doi:10.1186/s12860-021-00369-3 · Cited by 16 · see citing works
A Wound-Healing Assay Based on Ultraviolet Light Ablation
Wu, S.-Y., Sun, Y.-S., Cheng, K., & Lo, K. (2016) · SLAS TECHNOLOGY · doi:10.1177/2211068216646741 · Cited by 16 · see citing works
Modeling of a fast-response magnetic-sensitive hydrogel for dynamic control of microfluidic flow
Liu, Q., Li, H., & Lam, K. Y. (2018) · Physical Chemistry Chemical Physics · doi:10.1039/c8cp06556j · Cited by 15 · see citing works
Effects of Substrate-Coating Materials on the Wound-Healing Process
Lin, J.-Y., Lo, K., & Sun, Y.-S. (2019) · Materials · doi:10.3390/ma12172775 · Cited by 15 · see citing works
Acoustomechanical giant deformation of soft elastomers with interpenetrating networks
Xin, F., & Lu, T. J. (2016) · Smart Materials and Structures · doi:10.1088/0964-1726/25/7/07lt02 · Cited by 12 · see citing works
A More Biomimetic Cell Migration Assay with High Reliability and Its Applications
Yin, D., Zhang, H., Yang, C., Zhang, W., & Yang, S. (2022) · Pharmaceuticals · doi:10.3390/ph15060695 · Cited by 12 · see citing works
Self-citationModeling of directional friction on a fully lubricated surface with regular anisotropic asperities
Zhang, Z., An, Q., Zhang, W., Yang, Q., Tang, Y., & Chen, D. (2010) · Meccanica · doi:10.1007/s11012-010-9303-2 · Cited by 11 · see citing works
Self-citationToward a Soft Microfluidic System: Concept and Preliminary Developments
Tony, A., Rasouli, A., Farahinia, A., Wells, G., Zhang, H., Achenbach, S. C., Yang, S., Sun, W. M., & Zhang, W. (2021) · International Conference on Mechatronics and Machine Vision in Practice (M2VIP) · doi:10.1109/m2vip49856.2021.9665022 · Cited by 11 · see citing works
Self-citationBhushan, B. M., Yoon, J. Y., Griffith, L. G., & Trumper, D. L. (2020) · IEEE/ASME Transactions on Mechatronics · doi:10.1109/tmech.2020.3038885 · Cited by 10 · see citing works
Huang, J. L., Clement, R., Sun, Z. H., Wang, J. Z., & Zhang, W. (2012) · The International Journal of Advanced Manufacturing Technology · doi:10.1007/s00170-012-4243-8 · Cited by 10 · see citing works
Self-citationRen, J., Chen, W., Zhong, Z., Wang, N., Chen, X., Yang, H., Li, J., Tang, P., Fan, Y., Lin, F., et al. (2023) · Micromachines · doi:10.3390/mi14091740 · Cited by 9 · see citing works
Quantifying the role of different surface coatings in experimental models of wound healing
Jin, W., Lo, K., Sun, Y.-S., Ting, Y.-H., & Simpson, M. J. (2020) · Chemical Engineering Science · doi:10.1016/j.ces.2020.115609 · Cited by 7 · see citing works
An axiomatic design theory for design of apparel products
Zhao, Y., Zhu, D., Zhou, F., Song, J., & Zhang, W. (2022) · Journal of Engineered Fibers and Fabrics · doi:10.1177/15589250221134350 · Cited by 5 · see citing works
Self-citationLabel‐Free Cell Migration Assay Using Magnetic Exclusion
Gupta, T., Gupta, R., Dabaghi, M., Sahu, R. P., Hirota, J. A., & Puri, I. K. (2021) · Advanced Materials Technologies · doi:10.1002/admt.202101033 · Cited by 5 · see citing works
Microfluidic wound scratching platform based on an untethered microrobot with magnetic actuation
Yılmaz, A., Karavelioğlu, Z., Aydemir, G., Demirçalı, A. A., Varol, R., Koşar, A., & Üvet, H. (2022) · Sensors and Actuators B Chemical · doi:10.1016/j.snb.2022.132643 · Cited by 4 · see citing works
Dai, Z. (2019) · HARVEST (University of Saskatchewan) · Cited by 4 · see citing works
Taylor, M., Jaunky, T., Hewitt, K., Lowe, F., Fearon, I. M., & Gaça, M. (2017) · Toxicology Letters · doi:10.1016/j.toxlet.2017.07.651 · Cited by 3 · see citing works
Flagged first, then by citations
Research works printed but not linked: 1
- [19]Suh N.P. The Principles of Design Oxford University Press New York, NY, USA 1990
Cited by
Sorted by citations
Omiyale, B. O., Ogbeyemi, A., Rasheed, A. A., Adamolekun, T. M., & Zhang, W. (2025) · Next Nanotechnology · doi:10.1016/j.nxnano.2025.100295 · Cited by 32 · see citing works
Self-citationHealthcare resilience: bibliometric and network analysis
Raut, S., Hossain, N. U. I., & Fazio, S. A. (2025) · Enterprise Information Systems · doi:10.1080/17517575.2025.2464752 · Cited by 9 · see citing works
A Novel Device for Micro-Droplets Generation Based on the Stepwise Membrane Emulsification Principle
Lei, L., Achenbach, S. C., Wells, G., Zhang, H., & Zhang, W. (2024) · Micromachines · doi:10.3390/mi15091118 · Cited by 5 · see citing works
Self-citationStemCurCol – 3D printed scaffold for diabetic wound regeneration
Piva, H. L., de Queiroz, M. S., Matsuo, F. S., Borges, H. S., Osako, M. K., & Tedesco, A. C. (2025) · Annals of 3D Printed Medicine · doi:10.1016/j.stlm.2025.100203 · Cited by 4 · see citing works
Bio-Based Silk Fibroin Composites with Enhanced Antioxidant Activity for Accelerated Wound Healing
Guo, J., Yao, L., Li, H., Wang, X., Yu, M., & Wu, G. (2025) · ACS Applied Polymer Materials · doi:10.1021/acsapm.5c02989 · Cited by 4 · see citing works
Thompson, D. W., Raut, S., Sokolov, A. M., & Hossain, N. U. I. (2025) · Enterprise Information Systems · doi:10.1080/17517575.2025.2568657 · Cited by 4 · see citing works
Jiang, J., Liu, X., Liu, H., Zhang, L., & Wu, S. (2025) · Journal of the mechanical behavior of biomedical materials/Journal of mechanical behavior of biomedical materials · doi:10.1016/j.jmbbm.2025.107249 · Cited by 3 · see citing works
3D-printed barriers with machine learning powered image analysis for enhanced wound healing assays
Cillis, A. D., Garzarelli, V., Foscarini, A., Gigli, G., Turco, A., Primiceri, E., Chiriacò, M. S., & Ferrara, F. (2025) · Materials & Design · doi:10.1016/j.matdes.2025.114746 · Cited by 3 · see citing works
hUC-MSCs exosomes-loaded hydrogels for systemic lupus erythematosus wound treatment
Meng, D., Huang, D., Wei, X., Nie, M., Zheng, X., Zhao, Y., & Sun, L. (2025) · Chemical Engineering Journal · doi:10.1016/j.cej.2025.166491 · Cited by 2 · see citing works
Zhang, H., & Yang, X. (2024) · Journal of Drug Delivery Science and Technology · doi:10.1016/j.jddst.2024.105899 · Cited by 2 · see citing works
Self-citationA programmable platform for probing cell migration and proliferation
Cwycyshyn, J., Stansbury, C. M., Meixner, W., Hoying, J. B., Muir, L. A., & Rajapakse, I. (2024) · APL Bioengineering · doi:10.1063/5.0209547 · Cited by 2 · see citing works
Jęśkowiak, I., Gębarowski, T., Skórkowska‐Telichowska, K., & Wiatrak, B. (2025) · International Journal of Molecular Sciences · doi:10.3390/ijms26062544 · Cited by 2 · see citing works
Raja, S. A., Andleeb, S., Faisal, Z., Naeem, M., Javed, S., Gillani, N., Jones, S., Putri, D. E. K., Kulanthaivel, S. R., Chang, S. W., et al. (2026) · Journal of Pharmaceutical Innovation · doi:10.1007/s12247-026-10614-x · Cited by 1 · see citing works
Suliman, A., Hassan, A. F., Saeed, S., Al-Moustafa, A.-E., Khalil, A. A., & Elhissi, A. M. A. (2025) · Journal of Drug Delivery Science and Technology · doi:10.1016/j.jddst.2025.107601 · Cited by 1 · see citing works
Optimized Wound Healing Assay to Study Extracellular Vesicle-Driven Glioblastoma Cell Migration
D’Antonio, C., Mantile, F., Pocsfalvi, G., & Liguori, G. L. (2026) · Methods and Protocols · doi:10.3390/mps9030081
“Despite its widespread use, 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 [38–42], with protocols involving EVs and GB cells being particularly poorly validated.”
Liu, Y., Wang, K. Z., Liang, X., Gao, Z., Li, Z. L., Bai, X., Wan, G., & Wang, Y.-C. (2026) · Journal of Nanobiotechnology · doi:10.1186/s12951-026-04426-x
Halim, H. E., Elline, Melaniwati, & Eddy (2026) · Cakradonya Dental Journal · doi:10.24815/cdj.v18i1.617
Shihabeddin, T. Z., Tjahjono, N. S., Subramanian, D., Rizvi, A., Miron-Mendoza, M., Varner, V. D., & Schmidtke, D. W. (2026) · Micromachines · doi:10.3390/mi17070783
Fathali, F., Taravati, A., & Tafrihi, M. (2026) · 3 Biotech · doi:10.1007/s13205-026-04964-z
Liu, X., & Liu, F. (2026) · Stem Cell Reviews and Reports · doi:10.1007/s12015-026-11210-9
Zhang, S., Chen, G., Xiao, L., Dong, J., Chao, Y., Yuxin, X. I. A., Long, P., & Yan, W. (2026) · BMC Pharmacology and Toxicology · doi:10.1186/s40360-026-01207-y
Qanash, H., Al‐Rajhi, A. M. H., Bazaid, A. S., Almarshadi, F. A., Almimoni, N. M., Althagafi, H. A. E., Almotayri, A., Yahya, R. O., El-Hawary, S. F., & Aldarhami, A. (2026) · International Journal of Molecular Sciences · doi:10.3390/ijms27219415
- Authors
- Yang, C., Yin, D., Zhang, H., Badea, I., Yang, S.-M., & Zhang, W.
- Affiliations
- Donghua University (CN)
- East China University of Science and Technology (CN)
- College of Pharmacy and Nutrition, University of Saskatchewan, Saskatoon, SK S7N 5A9, Canada
- Shanghai University (CN)
- Corresponding author
- Yang, Shih-Mo
- Zhang, Wenjun
- Venue
- Micromachines
- Publisher
- MDPI AG
- Published
- 2024-05-29
- Volume
- 15
- Issue
- 6
- Pages
- 720
- ISSN
- 2072-666X (ISSN-L)
- PMC
- PMC11205366
- OpenAlex
- W4399286680
- Cited by
- 22
- References
- 127
- Citations by year
- 2026: 9 · 2025: 10 · 2024: 3
- FWCI
- 0.96
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Micromachines (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Funders
- NSERC (Natural Sciences and Engineering Research Council of Canada) CREATE (Collaborative Research and Training Experience) (565429-2022)
- Topics
- Health Sciences › Medicine › Rehabilitation › Wound Healing and Treatments
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cell Biology › Cellular Mechanics and Interactions
- Physical Sciences › Engineering › Biomedical Engineering › 3D Printing in Biomedical Research
- Keywords
- cell migration assay, wound healing assay, cell migration, design thinking, mechanical stimuli
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review