In recent decades, assays with the nematode Caenorhabditis elegans (C. elegans) have
enabled great advances to be made in research on aging. However, performing these …

Skeletonization algorithms are used as basic methods to solve tracking problems, pose
estimation, or predict animal group behavior. Traditional skeletonization techniques, based …

Spatial transform networks (STN) are widely used since they can transform images captured
from different viewpoints to obtain an objective image. These networks use an image …

Pose estimation of C. elegans in image sequences is challenging and even more difficult in
low-resolution images. Problems range from occlusions, loss of worm identity, and overlaps …

Understanding how we can age healthily is a challenge at the heart of biogerontological
interest. Whereas myriad genes are known to affect the lifespan of model organisms, effects …

Performing lifespan assays with Caenorhabditis elegans (C. elegans) nematodes manually
is a time consuming and laborious task. Therefore, automation is necessary to increase …

The nematode Caenorhabditis elegans (C. elegans) is of significant interest for research into
neurodegenerative diseases, aging, and drug screening. However, conducting these assays …

Caenorhabditis elegans (C. elegans) have emerged as a prominent model organism for
investigating aging, owing to its short life cycle, complete body transparency, protein editing …

Nematodes belong to one of the most diverse phyla on the planet. Most nematodes are free
living and feed on bacteria, fungi, and protozoa. Plant-parasitic lifestyles are relatively rare in …

[ES] El objetivo principal de esta tesis es el desarrollo de técnicas avanzadas de
seguimiento de posturas para reconocimiento de comportamientos del Caenorhabditis …