Back to search

Article

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

2021-05-17

Abstract excerpt

<h4>ABSTRACT</h4> C. elegans is an established model organism for studying genetic and drug effects on ageing, many of which are conserved in humans. It is also an important model for basic research, and C. elegans pathologies is a new emerging field. Here we develop a proof-of-principal convolutional neural network-based platform to segment C. elegans and extract features that might be useful for lifespan pred...

Topics

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

Identifiers and source

Literature Corpus work
ccb05c48-0ec8-57d8-9b49-12c3b60d5ada
DOI
10.1101/2021.05.16.444281
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
A tandem segmentation-classification approach for the localization of morphological predictors of <i>C. elegans</i> lifespan and motilityDOI 10.1101/2021.05.16.444281
Mask R-CNN Based C. Elegans Detection with a DIY MicroscopeSemantic proximity
Large vision model framework for automated <i>C. elegans</i> analysis: From static morphometry to dynamic neural activitySemantic proximity
Prediction of biological age by morphological staging of sarcopenia in <i>Caenorhabditis elegans</i>Semantic proximity
Identification by machine vision of the rate of motor activity decline as a lifespan predictor in C. elegans.Semantic proximity
Leveraging Machine Learning in <em>Caenorhabditis elegans</em> Developmental StudiesSemantic proximity
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
Massively parallel C. elegans tracking provides multi-dimensional fingerprints for phenotypic discovery.Semantic proximity
Multidimensional phenotyping predicts lifespan and quantifies health in Caenorhabditis elegans.Semantic proximity
Few-Shot Classification of <i>C. elegans</i> Developmental Stages via Explainable Hierarchical Hyperbolic Graph EmbeddingsSemantic proximity
Leveraging Machine Learning in Caenorhabditis elegans Developmental StudiesSemantic proximity
Quantitative Image Analysis Reveals Distinct Structural Transitions during Aging in Caenorhabditis elegans TissuesSemantic proximity
DevStaR: high-throughput quantification of C. elegans developmental stages.Semantic proximity
Select a neighboring publication to make it the new centre.