The fish and invertebrates that exhibit biofluorescence emit lower-energy colored light when they are exposed to higher-energy blue light. This strong fluorescence is not visible to the naked eye, but it can be measured with hyperspectral imaging.
“Fish may exhibit welfare traits in ways that are invisible to the human eye, and one of our objectives is to explore new technologies that can reveal this to us in real time,” says Evan Durland, Scientist in aquaculture genetics and project leader.
Welfare indicators are important because animals that experience chronic stress are vulnerable to disease, experience less growth, and ultimately have a higher mortality rate. The current methods used to identify early signs of stress in marine species have certain limitations.
Glowing When Stressed
Technology scientist Samuel Ortega and visiting Ph.D. student Thomas Juhasz investigated the applications of using hyperspectral imaging of biofluorescence as a welfare indicator for marine species, particularly lumpfish, red king crab, and green sea urchins.
The scientists found that lumpfish and red king crabs produced stronger fluorescent emissions after exposure to stressors. Put in simple words, the animals glowed more brightly when they experienced acute stress. They also found that sea urchins with broken spines or lesions glow brighter in the areas where they are affected.
The scientist has ideas for how to improve the technology:
“We want to see if we can integrate artificial intelligence (AI) into this method. The AI can analyze the biofluorescence data acquired through hyperspectral imaging and alert us if it detects any fluorescence changes that may indicate stress in the animals. We believe that this could contribute significantly to the future of welfare measurement during aquaculture operations,” says Samuel Ortega.
The research was funded by the EU Horizon 2020 program through the AquaVitae project and by Nofima through the Deep Vision project. The research was done by Nofima in collaboration with Marie Curie Ph.D. student Thomas Juhasz in 2022.
