A graphical user interface for wrmXpress 2.0 streamlines helminth phenotypic screening

Image-based phenotypic screening is a fundamental technique used to better understand the basic biology of helminths and advance discovery of new anthelmintics. Miniaturization of screening platforms and automated microscopy have led to a surge in imaging data and necessitated software to organize and analyze these data. Traditionally, these analyses are performed remotely on high-performance computers, often requiring an understanding of a command line interface (CLI) and the ability to write scripts to control the software or job scheduler. Requiring access to specialized computing equipment and advanced computational skills raises the barrier to entry for these sorts of studies. The development of efficient, performant computer and graphical processing units for personal computers and cheaper imaging solutions has made the requirement of remote servers superfluous for many small to medium-scale screens, but most analytical software still require interaction with a CLI. To democratize the analysis of image-based phenotypic screens, we have developed a graphical user interface (GUI) for wrmXpress, a tool that integrates many popular computational pipelines for analyzing imaging data of parasitic and free-living worms. The GUI operates on any personal computer using the operating system's native web browser, allowing users to configure and run analyses using a point-and-click approach. Containerization of the application eliminates the need to install specialized programming libraries and dependencies, further increasing the ease of use. GUI development required a substantial reorganization of the wrmXpress backend codebase, which allowed for the addition of a new pipeline for high-resolution tracking of worm behavior, and we demonstrate its functionality by showing that praziquantel modulates the behavior of Schistosoma mansoni miracidia. These advances make cutting-edge analyses of image-based phenotyping of worms more equitable and accessible.

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Publication Details

Journal
International Journal for Parasitology Drugs and Drug Resistance
Published
2025-03-20
DOI
https://doi.org/10.1016/j.ijpddr.2025.100588
Citations
2
Primary Topic
Entomopathogenic Microorganisms in Pest Control
Type
article
Field-Weighted Citation Impact
3.34

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article

A graphical user interface for wrmXpress 2.0 streamlines helminth phenotypic screening

Ankita Kulshrestha, C. R. Weber, Nicolas J. Wheeler, Mostafa Zamanian et al.
2 citations
International Journal for Parasitology Drugs and Drug Resistance
Entomopathogenic Microorganisms in Pest Control
3.34
article

A graphical user interface for wrmXpress 2.0 streamlines helminth phenotypic screening

Ankita Kulshrestha, C. R. Weber, Nicolas J. Wheeler, Mostafa Zamanian, Chris Nelson, H Lee, Zachary Caterer, Blake Mathisen, Maggie Bagatta, Ireland Coughlin, Megan Wettstein, Leonardo R Nunn, Rachel V Horejsi
article en
2 citations

Abstract

Image-based phenotypic screening is a fundamental technique used to better understand the basic biology of helminths and advance discovery of new anthelmintics. Miniaturization of screening platforms and automated microscopy have led to a surge in imaging data and necessitated software to organize and analyze these data. Traditionally, these analyses are performed remotely on high-performance computers, often requiring an understanding of a command line interface (CLI) and the ability to write scripts to control the software or job scheduler. Requiring access to specialized computing equipment and advanced computational skills raises the barrier to entry for these sorts of studies. The development of efficient, performant computer and graphical processing units for personal computers and cheaper imaging solutions has made the requirement of remote servers superfluous for many small to medium-scale screens, but most analytical software still require interaction with a CLI. To democratize the analysis of image-based phenotypic screens, we have developed a graphical user interface (GUI) for wrmXpress, a tool that integrates many popular computational pipelines for analyzing imaging data of parasitic and free-living worms. The GUI operates on any personal computer using the operating system's native web browser, allowing users to configure and run analyses using a point-and-click approach. Containerization of the application eliminates the need to install specialized programming libraries and dependencies, further increasing the ease of use. GUI development required a substantial reorganization of the wrmXpress backend codebase, which allowed for the addition of a new pipeline for high-resolution tracking of worm behavior, and we demonstrate its functionality by showing that praziquantel modulates the behavior of Schistosoma mansoni miracidia. These advances make cutting-edge analyses of image-based phenotyping of worms more equitable and accessible.

International Journal for Parasitology Drugs and Drug ResistanceVol. 27
University of Wisconsin–Eau Claire (US), University of Wisconsin–Madison (US)
National Science Foundation, University of Wisconsin-Eau Claire, National Institute of Allergy and Infectious Diseases
Zero hunger
Openalex Percentile: Top 10%
Entomopathogenic Microorganisms in Pest Control
3.34
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