Fisch, D;
Yakimovich, A;
Clough, B;
Mercer, J;
Frickel, E-M;
(2019)
Image-Based Quantitation of Host Cell-Toxoplasma gondii Interplay Using HRMAn: A Host Response to Microbe Analysis Pipeline.
Methods in Molecular Biology
, 2071
pp. 411-433.
10.1007/978-1-4939-9857-9_21.
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Abstract
Research on Toxoplasma gondii and its interplay with the host is often performed using fluorescence microscopy-based imaging experiments combined with manual quantification of acquired images. We present here an accurate and unbiased quantification method for host–pathogen interactions. We describe how to plan experiments and prepare, stain and image infected specimens and analyze them with the program HRMAn (Host Response to Microbe Analysis). HRMAn is a high-content image analysis method based on KNIME Analytics Platform. Users of this guide will be able to perform infection studies in high-throughput volume and to a greater level of detail. Relying on cutting edge machine learning algorithms, HRMAn can be trained and tailored to many experimental settings and questions.
| Type: | Article |
|---|---|
| Title: | Image-Based Quantitation of Host Cell-Toxoplasma gondii Interplay Using HRMAn: A Host Response to Microbe Analysis Pipeline |
| Location: | United States |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1007/978-1-4939-9857-9_21 |
| Publisher version: | https://doi.org/10.1007/978-1-4939-9857-9_21 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Toxoplasma gondii, Host-pathogen interaction, High-content image analysis, Artificial intelligence, Machine learning, HRMAn, KNIME Analytics platform |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences |
| URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10087402 |
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