Thornton, Katie Louise, Findlay, Rachel Christina, Walrad, Pegine Bavonne orcid.org/0000-0002-2302-0720 et al. (1 more author) (2016) Investigating the Swimming of Microbial Pathogens Using Digital Holography. Advances in experimental medicine and biology. pp. 17-32. ISSN 0065-2598
Abstract
To understand much of the behaviour of microbial pathogens, it is necessary to image living cells, their interactions with each other and with host cells. Species such as Escherichia coli are difficult subjects to image: they are typically microscopic, colourless and transparent. Traditional cell visualisation techniques such as fluorescent tagging or phase-contrast microscopy give excellent information on cell behaviour in two dimensions, but no information about cells moving in three dimensions. We review the use of digital holographic microscopy for three-dimensional imaging at high speeds, and demonstrate its use for capturing the shape and swimming behaviour of three important model pathogens: E. coli, Plasmodium spp. and Leishmania spp.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2016, Springer International Publishing Switzerland. This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for details. |
Keywords: | Pathogen Parasite Motility Modeling |
Dates: |
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Institution: | The University of York |
Academic Units: | The University of York > Faculty of Sciences (York) > Physics (York) The University of York > Faculty of Sciences (York) > Biology (York) The University of York > Faculty of Sciences (York) > Centre for Immunology and Infection (CII) (York) |
Depositing User: | Pure (York) |
Date Deposited: | 23 Aug 2016 08:51 |
Last Modified: | 06 Jan 2025 00:09 |
Published Version: | https://doi.org/10.1007/978-3-319-32189-9_3 |
Status: | Published |
Refereed: | No |
Identification Number: | 10.1007/978-3-319-32189-9_3 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:103428 |
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