Frontiers in quantifying wildlife behavioural responses to chemical pollution

MG Bertram, JM Martin, ES McCallum… - Biological …, 2022 - Wiley Online Library
Animal behaviour is remarkably sensitive to disruption by chemical pollution, with
widespread implications for ecological and evolutionary processes in contaminated wildlife …

Omnipose: a high-precision morphology-independent solution for bacterial cell segmentation

KJ Cutler, C Stringer, TW Lo, L Rappez, N Stroustrup… - Nature …, 2022 - nature.com
Advances in microscopy hold great promise for allowing quantitative and precise
measurement of morphological and molecular phenomena at the single-cell level in …

DeepPoseKit, a software toolkit for fast and robust animal pose estimation using deep learning

JM Graving, D Chae, H Naik, L Li, B Koger… - Elife, 2019 - elifesciences.org
Quantitative behavioral measurements are important for answering questions across
scientific disciplines—from neuroscience to ecology. State-of-the-art deep-learning methods …

Animal kingdom: A large and diverse dataset for animal behavior understanding

XL Ng, KE Ong, Q Zheng, Y Ni… - Proceedings of the …, 2022 - openaccess.thecvf.com
Understanding animals' behaviors is significant for a wide range of applications. However,
existing animal behavior datasets have limitations in multiple aspects, including limited …

Mechanical nonreciprocity in a uniform composite material

X Wang, Z Li, S Wang, K Sano, Z Sun, Z Shao… - Science, 2023 - science.org
Mechanical nonreciprocity, or the asymmetric transmission of mechanical quantities
between two points in space, is crucial for develo** systems that can guide, damp, and …

[HTML][HTML] Light-microscopy methods in C. elegans research

L Breimann, F Preusser, S Preibisch - Current Opinion in Systems Biology, 2019 - Elsevier
Ever since Caenorhabditis elegans was introduced as a model system it has been tightly
linked to microscopy, which has led to significant advances in understanding biology over …

Capturing the continuous complexity of behaviour in Caenorhabditis elegans

T Ahamed, AC Costa, GJ Stephens - Nature Physics, 2021 - nature.com
Animal behaviour is often quantified through subjective, incomplete variables that mask
essential dynamics. Here, we develop a maximally predictive behavioural-state space from …

LoTE-Animal: A long time-span dataset for endangered animal behavior understanding

D Liu, J Hou, S Huang, J Liu, Y He… - Proceedings of the …, 2023 - openaccess.thecvf.com
Understanding and analyzing animal behavior is increasingly essential to protect
endangered animal species. However, the application of advanced computer vision …

Brain monoamine vesicular transport disease caused by homozygous SLC18A2 variants: A study in 42 affected individuals

K Saida, R Maroofian, T Sengoku, T Mitani… - Genetics in …, 2023 - Elsevier
Purpose Brain monoamine vesicular transport disease is an infantile-onset movement
disorder that mimics cerebral palsy. In 2013, the homozygous SLC18A2 variant, p …

WormPose: Image synthesis and convolutional networks for pose estimation in C. elegans

L Hebert, T Ahamed, AC Costa… - PLoS computational …, 2021 - journals.plos.org
An important model system for understanding genes, neurons and behavior, the nematode
worm C. elegans naturally moves through a variety of complex postures, for which …