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Open Access Highly Accessed Methodology article

A high-throughput cell migration assay using scratch wound healing, a comparison of image-based readout methods

Justin C Yarrow12, Zachary E Perlman12, Nicholas J Westwood23 and Timothy J Mitchison12*

Author Affiliations

1 Department of Systems Biology, Harvard Medical School, Boston, MA 02115, USA

2 The Institute of Chemistry and Cell Biology (ICCB), Harvard Medical School, Boston, MA 02115, USA

3 School of Chemistry and Centre for Biomolecular Sciences, University of St Andrews, North Haugh, St Andrews, UK

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BMC Biotechnology 2004, 4:21  doi:10.1186/1472-6750-4-21

Published: 9 September 2004

Additional files

Additional file 1:

Wounds generated with the 96 well floating-pin array heal in a characteristic and measurable manner. (A) Wounds generated with the 96 well floating-pin array healed for 0, 3, 7, 12, or 24 hours, were processed as above, and wound regions were measured using automated analysis. Normalized average values and standard deviations of both the area and median width of the non-actin staining region and the non-DNA staining region (see Methods for definitions) are shown. The non-DNA staining region at the 24 hr timepoint was automatically not measured (asterisks) because the non-actin staining region was 0. At least 24 wells of each condition were measured.

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Open Data

Additional file 2:

Sample images illustrating automated analysis of wound healing images. (A) Processing of DAPI image to generate non-DNA staining region. (B) Processing of actin image to generate non-actin staining image. (C) Comparison of lamellar wound region with its morphological closing allows assessment of lamellar smoothness.

Format: TIFF Size: 1.4MB Download file

Open Data