Dataset for "Analysis of Parasitic Protozoa at the Single-cell Level using Microfluidic Impedance Cytometry" article
Dataset for "Analysis of Parasitic Protozoa at the Single-cell Level using Microfluidic Impedance Cytometry" article
Dataset for:
McGrath, J. S. et al (2017). Analysis of parasitic protozoa at the single-cell level using microfluidic impedance cytometry. Scientific Reports.
In the article associated with the dataset, we use Microfluidic Impedance Cytometry (MIC) to characterise the AC electrical (or dielectric) properties of single protozoan parasites (Cryptosporidium and/or Giardia (oo)cysts) and demonstrate rapid discrimination based on viability and species. Specifically, MIC was used to identify live and inactive C. parvum oocysts with over 90% certainty, whilst also detecting damaged and/or excysted oocysts. Furthermore, discrimination of Cryptosporidium parvum, Cryptosporidium muris and Giardia lamblia, with over 92% certainty was achieved. The data and code necessary to generate the full results can be found in this dataset.
Microfluidics, Impedance cytometry, Parasitic protozoa
University of Southampton
Honrado, Carlos, Manuel Fernandes
5d2caaca-3cab-432b-94d0-6793e3514c99
McGrath, John
4854f383-9346-4ffa-a1d7-4aedc3b5ce29
Spencer, Daniel
4affe9f6-353a-4507-8066-0180b8dc9eaf
Horton, Ben
0a7b2c92-ac74-4bc4-854a-3121dcf56871
Bridle, Helen
39c93f77-57ac-418f-89d8-ddc9035ebfd3
Morgan, Hywel
de00d59f-a5a2-48c4-a99a-1d5dd7854174
Honrado, Carlos, Manuel Fernandes
5d2caaca-3cab-432b-94d0-6793e3514c99
McGrath, John
4854f383-9346-4ffa-a1d7-4aedc3b5ce29
Spencer, Daniel
4affe9f6-353a-4507-8066-0180b8dc9eaf
Horton, Ben
0a7b2c92-ac74-4bc4-854a-3121dcf56871
Bridle, Helen
39c93f77-57ac-418f-89d8-ddc9035ebfd3
Morgan, Hywel
de00d59f-a5a2-48c4-a99a-1d5dd7854174
Honrado, Carlos, Manuel Fernandes and McGrath, John
(2017)
Dataset for "Analysis of Parasitic Protozoa at the Single-cell Level using Microfluidic Impedance Cytometry" article.
University of Southampton
doi:10.5258/SOTON/D0047
[Dataset]
Abstract
Dataset for:
McGrath, J. S. et al (2017). Analysis of parasitic protozoa at the single-cell level using microfluidic impedance cytometry. Scientific Reports.
In the article associated with the dataset, we use Microfluidic Impedance Cytometry (MIC) to characterise the AC electrical (or dielectric) properties of single protozoan parasites (Cryptosporidium and/or Giardia (oo)cysts) and demonstrate rapid discrimination based on viability and species. Specifically, MIC was used to identify live and inactive C. parvum oocysts with over 90% certainty, whilst also detecting damaged and/or excysted oocysts. Furthermore, discrimination of Cryptosporidium parvum, Cryptosporidium muris and Giardia lamblia, with over 92% certainty was achieved. The data and code necessary to generate the full results can be found in this dataset.
Archive
Research_data.zip
- Dataset
Text
Readme_Research_data.pdf
- Text
More information
Published date: 2017
Keywords:
Microfluidics, Impedance cytometry, Parasitic protozoa
Organisations:
Electronics & Computer Science, Nanoelectronics and Nanotechnology
Identifiers
Local EPrints ID: 410066
URI: http://eprints.soton.ac.uk/id/eprint/410066
PURE UUID: d0fa73b9-f2b4-40ff-a159-f6a54fc030fa
Catalogue record
Date deposited: 02 Jun 2017 04:03
Last modified: 02 Feb 2024 02:39
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Contributors
Creator:
Carlos, Manuel Fernandes Honrado
Creator:
John McGrath
Research team head:
Daniel Spencer
Contributor:
Ben Horton
Research team head:
Helen Bridle
Research team head:
Hywel Morgan
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