An Artificial Intelligence Workflow for Defining Host-Pathogen Interactions
An Artificial Intelligence Workflow for Defining Host-Pathogen Interactions
For image-based infection biology, accurate unbiased quantification of host-pathogen interactions is essential, yet often performed manually or using limited enumeration employing simple image analysis algorithms based on image segmentation. Host protein recruitment to pathogens is often refractory to accurate automated assessment due to its heterogeneous nature. An intuitive intelligent image analysis program to assess host protein recruitment within general cellular pathogen defense is lacking. We present HRMAn (Host Response to Microbe Analysis), an open-source image analysis platform based on machine learning algorithms and deep learning. We show that HRMAn has the capability to learn phenotypes from the data, without relying on researcher-based assumptions. Using Toxoplasma gondii and Salmonella typhimurium we demonstrate HRMAn’s capacity to recognize, classify and quantify pathogen killing, replication and cellular defense responses.
Yakimovich Artur、Clough Barbara、Wright Joseph、Bunyan Monique、Howell Michael、Fisch Daniel H、Frickel Eva-Maria、Mercer Jason
MRC-Laboratory for Molecular Cell Biology, University College LondonHost-Toxoplasma Interaction Laboratory, The Francis Crick InstituteHost-Toxoplasma Interaction Laboratory, The Francis Crick InstituteHost-Toxoplasma Interaction Laboratory, The Francis Crick InstituteHTS, The Francis Crick InstituteHost-Toxoplasma Interaction Laboratory, The Francis Crick InstituteHost-Toxoplasma Interaction Laboratory, The Francis Crick InstituteMRC-Laboratory for Molecular Cell Biology, University College London
生物科学研究方法、生物科学研究技术生物工程学计算技术、计算机技术
Artificial IntelligenceDeep LearningToxoplasma gondiiHigh-content imagingQuantitative analysis
Yakimovich Artur,Clough Barbara,Wright Joseph,Bunyan Monique,Howell Michael,Fisch Daniel H,Frickel Eva-Maria,Mercer Jason.An Artificial Intelligence Workflow for Defining Host-Pathogen Interactions[EB/OL].(2025-03-28)[2025-05-16].https://www.biorxiv.org/content/10.1101/408450.点此复制
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