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Updated: May 13, 2026

In Vivo Imaging Systems IVIS Detection of a Neuro-Invasive Encephalitic Virus

In Vivo Imaging Systems IVIS Detection of a Neuro-Invasive Encephalitic Virus

Published on: December 2, 2012

Invertebrate Automated Phenotyping Platform (INVAPP): An Automated High-Throughput System with Applications in

Steven D Buckingham¹, David A Lomas², David B Sattelle³

¹School of Biological and Behavioural Sciences, Fogg Building, Queen Mary University of London, London, UK.

Methods in Molecular Biology (Clifton, N.J.)

|January 1, 2026

Summary

This summary is machine-generated.

Automated phenotyping platforms like INVAPP and Paragon aid in studying C. elegans for human disease research and drug discovery. This technology is crucial for developing new treatments against parasitic worms and disease vectors like mosquitoes.

Keywords:

Anthelmintic drugs Automated phenotyping Chemical screening Human genetic and infectious diseases Insecticides

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Area of Science:

* Biomedical research and drug discovery
* Genetics and developmental biology
* Parasitology and vector control

Background:

* The nematode Caenorhabditis elegans is a valuable genetic model organism for studying animal development, behavior, and human diseases.
* Monitoring phenotypic changes in C. elegans is crucial for understanding disease progression and evaluating drug efficacy.
* Current challenges include insecticide resistance in malaria vectors (Anopheles gambiae) and anthelmintic resistance in soil-transmitted helminths (Trichuris trichiura).

Purpose of the Study:

* To introduce the Invertebrate Automated Phenotyping Platform (INVAPP) and its associated algorithm, Paragon.
* To demonstrate the utility of automated phenotyping in C. elegans for drug discovery and disease modeling.
* To highlight the application of automated phenotyping in developing new treatments for parasitic worms and disease vectors.

Main Methods:

* Development of the Invertebrate Automated Phenotyping Platform (INVAPP).
* Implementation of the Paragon algorithm for data analysis.
* Utilizing C. elegans models for phenotypic analysis and drug candidate screening.

Main Results:

* INVAPP and Paragon facilitate the monitoring of phenotypic changes in invertebrates.
* The system is effective for assaying motility and growth in C. elegans models of neurological disorders.
* Automated phenotyping provides a useful tool for screening novel anthelmintics and insecticides.

Conclusions:

* Automated phenotyping systems offer a powerful approach for accelerating drug discovery and therapeutic development.
* INVAPP and Paragon can aid in addressing challenges posed by drug resistance in parasitic worms and disease vectors.
* This technology is essential for advancing research in both human disease modeling and invertebrate pathogen control.