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AI-Light Spectrum Replicator (LSR): A Novel Simulated In Situ Lab/On-Deck Incubator

Puškarić, Staša; Sokač, Mateo; Ninčević, Živana; Prelesnik, Heliodor; Børsheim, Knut Yngve
Peer reviewed, Journal article
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jmse-12-00339-v4.pdf (4.267Mb)
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https://hdl.handle.net/11250/3165946
Utgivelsesdato
2024
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Originalversjon
Journal of Marine Science and Engineering (JMSE). 2024, 12 (2), .   10.3390/jmse12020339
Sammendrag
In this communication, we present the prototype of a new simulated in situ lab/on-deck incubator, the light spectrum replicator (LSR), and a method for simulating the measured in situ HOCR light spectrum curves in incubation chambers. We developed this system using AI and genetic algorithms in an iterative fashion to find the best-fitting light spectrum in situ irradiance at different depths. The HOCR light spectrum measured at the depth and time of sampling was processed immediately, so the incubator is in a stable and ready condition by the time the samples inoculated with 14C were placed in sample holders (10 min after sampling). This incubator is intended to provide a reliable, fast, and easy-to-use tool for studying primary production based on the evaluation of the photosynthetic uptake of 14C. This system enables short incubation periods for small samples: we tested incubations of 5 mL samples during 15 min incubation periods. Our initial measurements taken using the prototype revealed a sufficiently good correlation between the on-deck measurements and in situ incubations. This prototype can be improved, as discussed in this text.
Tidsskrift
Journal of Marine Science and Engineering (JMSE)

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