Acronym IMAGETOX
Category
Aquaculture
Title Automatic detection of toxic microalgae through optical and hyperspectral microscopic images Programme Nat. Programme (supported by ESIF)
Instrument (FP6)
Contact Type (FP7)
Strand (Interreg)
NA
Theme (FP7)
Activity Area (FP6)
Regional Area (Interreg)
Action (COST)
NA
Specific Programme (FP7)
NA
Funding source National-European Coordinator Alisa Rudnitskaya Coordinator email NA
Coordinator institution
CESAM - Centre for Environmental and Marine Studies (Portugal)
Institutions involved
NA
Start year 2018 End year 2021 Funding (€) € 211,237 Website https://www.cesam-la.pt/projetos/imagetox-deteccao-automatica-de-microalgas-toxicas-atraves-de-imagens-microscopicas-opticas-e-hiperespectrais/ Summary The main objective of the project is the development of an inexpensive, reagentless and easily automatable technology for the detection of HABs.
The implementation of this tool will increase the number of samples analyzed while reducing the cost of identifying these species. This will allow information to be provided about the presence of toxic algae in a greater number of sampling points and with greater frequency. Improved monitoring will contribute to more effective management by aquaculture producers, allowing preventive measures to be taken, reducing economic losses associated with HABs. will allow fish and seafood producers to adapt their culture and catching practices in a timely manner to reduce potential losses.
This technology is based on the statistical analysis of visible-infrared optical and hyperspectral microscopic images. The optical images to be used are the same as those currently used for the detection of microalgae, however, the interpretation, instead of being carried out by the operator, will be done through an image recognition algorithm and a classification model built with the samples. previously characterized. Thus, the proposed system will function as an “artificial eye”.
Visible-infrared hyperspectral images are obtained by acquiring a spectrum in the wavelength range between 400 – 1100 nm at various points on the sample. Spatial resolution at the level of 1-2 µm allows mapping algal cells that will have sizes between 20 and 100 µm. In this way, hyperspectral images contain not only morphological information about the shape of cells, but also information about spatially distributed color and chemical composition. Thus, the differentiation of algal species can be made not only based on morphological differences, but also based on differences in the chemical composition of the different organelles and the presence of toxins. Since the visible-infrared cameras commonly used in this case are more expensive, this system can be used after analyzing optical images for confirmation in the case of an uncertain answer.
Keywords
Impacts;
Algae;
Fish;
Open sea aquaculture;
Technology;
Algal toxins;
Monitoring;
Shellfish;
Marine Region
0
NA
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