Concept

Bien-être animal

Publications associées (77)

Predicting the long-term collective behaviour of fish pairs with deep learning

Francesco Mondada, Alexandre Massoud Alahi, Vaios Papaspyros

Modern computing has enhanced our understanding of how social interactions shape collective behaviour in animal societies. Although analytical models dominate in studying collective behaviour, this study introduces a deep learning model to assess social in ...

2024

A biohybrid interaction framework for the integration of robots in animal societies

Francesco Mondada, Daniel Burnier, Vaios Papaspyros, Raphael Cherfan

The collective behavior of animals has been traditionally studied through observation, quantitative models of behavior, and devices of low intelligence. Nowadays, the advancements in the field of robotics allow for closed-loop experiments that occur in rea ...

2023

A Novel 3D-Printed/Porous Conduit with Tunable Properties to Enhance Nerve Regeneration Over the Limiting Gap Length

Silvestro Micera, Francesco Iberite

Engineered grafts constitute an alternative to autologous transplant for repairing severe peripheral nerve injuries. However, current clinically available solutions have substantial limitations and are not suited for the repair of long nerve defects. A nov ...

WILEY2023

Photobiology and metabolic interactions in the symbiotic jellyfish Cassiopea

Niclas Heidelberg Lyndby

The symbiont-bearing jellyfish Cassiopea live a benthic lifestyle, positioning themselves upside-down on sediments in shallow waters to allow their endosymbiotic algae to photosynthesize in the sunlight. Over the last decades Cassiopea has become increasin ...

EPFL2023

Bringing Functional Context to Emerging Proximity-mapping Proteomics Tools

Yimon Aye

If one considers chemical-biology toolsets that have had the greatest impact on numerous fields of life sciences over the most recent years, proximity-labeling tools, such as APEX, and Bio-ID arguably lead the way. This article reflects upon the current st ...

SWISS CHEMICAL SOC2022

Multi-animal pose estimation, identification and tracking with DeepLabCut

Alexander Mathis, Mackenzie Mathis, Steffen Schneider, Shaokai Ye, Jessy Lauer, Tanmay Nath

Estimating the pose of multiple animals is a challenging computer vision problem: frequent interactions cause occlusions and complicate the association of detected keypoints to the correct individuals, as well as having highly similar looking animals that ...

NATURE PORTFOLIO2022

Perspectives on Individual Animal Identification from Biology and Computer Vision

Alexander Mathis, Maxime Michel André Vidal

Identifying individual animals is crucial for many biological investigations. In response to some of the limitations of current identification methods, new automated computer vision approaches have emerged with strong performance. Here, we review current a ...

OXFORD UNIV PRESS INC2021

Organic semiconductors for light-mediated neuromodulation

Diego Ghezzi, Danashi Imani Medagoda

There is growing interest in organic semiconductor devices for light-mediated neuromodulation, such as for retinal stimulation. Here, the key working principles of these devices are discussed, as well as promising applications and outstanding challenges fo ...

SPRINGERNATURE2021

A synchrotron X-ray imaging strategy to map large animal brains

Giorgio Margaritondo, Ying Chen

Mapping the large neural networks of animal and human brains is a fundamental but so far elusive task, because of the massive amount of data and the consequent prohibitively long image taking and processing times. We developed an effective strategy called ...

2020

Ubiquitous macropinocytosis in anthozoans

Gaëlle Delphine Toullec

Transport of fluids, molecules, nutrients or nanoparticles through coral tissues are poorly documented. Here, we followed the flow of various tracers from the external seawater to within the cells of all tissues in living animals. After entering the genera ...

2020

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