Tracking fish to estimate dynamic body acceleration

Video-based Dynamic Body Acceleration (DBA) in action. A deep learning model has been trained to track the location of body points on a fish in a tank coupled to a respirometer that measures the concentration of oxygen in the water. Acceleration can be derived from the movement of the points, and subsequently analyzed together with oxygen consumption to estimate energy usage.

Date:

24 April 2025

Creator:

adrian-skov

Credit:

Ishikawa et al., 2025

Copyright OIST (Okinawa Institute of Science and Technology Graduate University, 沖縄科学技術大学院大学). Creative Commons Attribution 4.0 International License (CC BY 4.0).

Share on:

Related Videos

Octopus bimaculoides Wall Crawl

Octopus bimaculoides, also known as the Californian two-spot octopus, crawling an aquarium wall Video: Z. Yan Wang, University of Chicago

Open Energy Systems Introduction (short)

This is the introduction movie of Open Energy Systems which are installed in 19 OIST faculty houses. Each house is connected with DC cable lines and exchange energy each other.

Higher Order Mode Video

This video shows a polystyrene particle propelled along a microfiber by light, first in the fundamental mode, then in a higher order mode. It is easy to see how much faster the particle zips along in the higher order mode.

STEPS - Visualization toolkit

In the upper left box you can see all parts of the neuron in this model, the external structure and internal compartment (ER) that holds calcium (yellow), and the proteins involved in opening the calcium channel (blue, bright magenta and dark magenta). In the other boxes, you can see the calcium or each protein separately to watch their movements and activation. In the bottom center, you can see the numerical data in real time as the model runs.

X-Ray micro-CT scan of ant Pheidole fervens

X-Ray micro-CT scan of ant specimen Pheidole fervens by OIST Biodiversity & Biocomplexity Unit