Article

WormAI: Artificial Intelligence Networks for Nematode Phenotyping

2025-02-08

Abstract excerpt

The nematode Caenorhabditis elegans is a key model organism in biological research due to its genetic similarity to humans and its utility in studying complex processes. Traditional image analysis methods, such as those using ImageJ, are labour-intensive, which has led to the integration of AI. This study introduces an AI framework with three machine learning models: WormGAN, a Generative Adversarial Network for...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 22f4d811-0a67-5f93-8e3e-2311eb28e4eb
DOI: 10.1101/2025.02.06.636827

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

WormAI: Artificial Intelligence Networks for Nematode PhenotypingDOI 10.1101/2025.02.06.636827Read

WormPose: Image synthesis and convolutional networks for pose estimation in <i>C. elegans</i>Semantic proximity Read

Recurrent Neural Networks with Interpretable Cells Predict and Classify Worm BehaviourSemantic proximity Read

Leveraging Machine Learning in <em>Caenorhabditis elegans</em> Developmental StudiesSemantic proximity Read

Leveraging Machine Learning in Caenorhabditis elegans Developmental StudiesSemantic proximity Read

Mask R-CNN Based C. Elegans Detection with a DIY MicroscopeSemantic proximity Read

Powerful and interpretable behavioural features for quantitative phenotyping of Caenorhabditis elegans.Semantic proximity Read

Large vision model framework for automated <i>C. elegans</i> analysis: From static morphometry to dynamic neural activitySemantic proximity Read

Massively parallel C. elegans tracking provides multi-dimensional fingerprints for phenotypic discovery.Semantic proximity Read

Automated scoring of nematode nictation on a textured backgroundSemantic proximity Read

A tandem segmentation-classification approach for the localization of morphological predictors of <i>C. elegans</i> lifespan and motilitySemantic proximity Read

Unifying community-wide whole-brain imaging datasets enables robust automated neuron identification and reveals determinants of neuron positioning in <i>C. elegans</i>Semantic proximity Read

WorMachine: machine learning-based phenotypic analysis tool for worms.Semantic proximity Read