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Updated: Jan 3, 2026

3-D Imaging and Analysis of Neurons Infected In Vivo with Toxoplasma gondii
Published on: December 9, 2014
Image-Based Quantitation of Host Cell-Toxoplasma gondii Interplay Using HRMAn: A Host Response to Microbe Analysis
Daniel Fisch1, Artur Yakimovich2, Barbara Clough1
1Host-Toxoplasma Interaction Laboratory, The Francis Crick Institute, London, UK.
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.
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