O'Toole, Peter John orcid.org/0000-0001-5295-2001, Kasprowicz, Richard Mark Robert and Suman, Rakesh (2017) Characterising live cell behaviour: traditional label-free and quantitative phase imaging approaches. International Journal of Biochemistry and Cell Biology. ISSN 1357-2725
Abstract
Label-free imaging uses inherent contrast mechanisms within cells to create image contrast without introducing dyes/labels, which may confound results. Quantitative phase imaging is label-free and offers higher content and contrast compared to traditional techniques. High-contrast images facilitate generation of individual cell metrics via more robust segmentation and tracking, enabling formation of a label-free dynamic phenotype describing cell-to-cell heterogeneity and temporal changes. Compared to population-level averages, individual cell-level dynamic phenotypes have greater power to differentiate between cellular responses to treatments, which has clinical relevance e.g. in the treatment of cancer. Furthermore, as the data is obtained label-free, the same cells can be used for further assays or expansion, of potential benefit for the fields of regenerative and personalised medicine.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | ©2017 The Authors. |
Keywords: | Ptychography, Live-cell imaging,Quantitative phase imaging, Label-free imaging; ,QPI |
Dates: |
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Institution: | The University of York |
Academic Units: | The University of York > Faculty of Sciences (York) > Biology (York) |
Depositing User: | Pure (York) |
Date Deposited: | 29 Jun 2017 10:15 |
Last Modified: | 26 Nov 2024 00:34 |
Published Version: | https://doi.org/10.1016/j.biocel.2017.01.004 |
Status: | Published |
Refereed: | Yes |
Identification Number: | 10.1016/j.biocel.2017.01.004 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:118417 |
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