Zhang, Z., Bedder, M., Smith, S.L. et al. (3 more authors) (2015) Automated Motion Analysis of Adherent Cells in Monolayer Culture. In: Information Processing in Cells and Tissues. 10th International Conference, IPCAT 2015 Lecture Notes in Computer Science, 9303 . Springer Verlag , pp. 185-194. ISBN 978-3-319-23107-5
Abstract
This paper presents a novel method for tracking and characterizing adherent cells in monolayer culture. A system of cell tracking employing computer vision techniques was applied to time-lapse videos of replicate normal human uro-epithelial cell cultures exposed to different concentrations of adenosine triphosphate (ATP), acquired over a 20 h period. Subsequent analysis, comprising feature extraction, demonstrated the ability of the technique to successfully separate the modulated classes of cell.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2015 Springer Verlag. This is an author produced version of a paper subsequently published in Information Processing in Cells and Tissues. Uploaded in accordance with the publisher's self-archiving policy. |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 16 Feb 2016 13:23 |
Last Modified: | 16 Nov 2016 01:31 |
Published Version: | http://dx.doi.org/10.1007/978-3-319-23108-2_16 |
Status: | Published |
Publisher: | Springer Verlag |
Series Name: | Lecture Notes in Computer Science |
Refereed: | Yes |
Identification Number: | 10.1007/978-3-319-23108-2_16 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:94331 |