Inexpensive and accessible sensors are accelerating data acquisition in animal ecology.
These technologies hold great potential for large-scale ecological understanding, but are …

Image-based tracking of animals in their natural habitats can provide rich behavioural data,
but is very challenging due to complex and dynamic background and target appearances. …

We designed a novel imaging technique based on frustrated total internal reflection (FTIR) to
obtain high resolution and high contrast movies. This FTIR-based Imaging Method (FIM) is …

Imaging and analyzing the locomotion behavior of small animals such as Drosophila larvae
or C. elegans worms has become an integral subject of biological research. In the past we …

Background Artificial intelligence (AI) is influencing our society on many levels and has
broad implications for the future practice of hematology and oncology. However, for many …

Quantifying the behavior of small animals traversing long distances in complex
environments is one of the most difficult tracking scenarios for computer vision. Tiny and low-contrast …

We present an adaptive optical neural network based on a large-scale event-driven
architecture. In addition to changing the synaptic weights (synaptic plasticity), the optical neural …

Many insects navigate by integrating the distances and directions travelled on an outward
path, allowing direct return to the starting point. Fundamental to the reliability of this process is …

Specialized glial subtypes provide support to developing and functioning neural networks.
Astrocytes modulate information processing by neurotransmitter recycling and release of …

Background Image-based tracking of individual animals can provide rich data to underpin
breakthroughs in biological and medical research, but few if any existing methods extend to …