ArticleScientific reports2025
Spectroscopic aspects of underwater digital holography of plankton.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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1 citing paper in PubMed.
- Diatom Lensless Imaging Using Laser Scattering and Deep Learning.ACS ES&T water · 2025Article
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4 authors.
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Abstract
Monitoring the parameters and behavior of plankton makes it possible to assess the state of the aquatic ecosystem and detect the beginning of an environmental disaster at an early stage. In this respect, the most informative method for the in situ plankton study is underwater digital holography. This method allows obtaining information on the size, shape, and location of plankton individuals, as well as performing their classification and biotesting according to their behavioral responses using a submersible holographic camera non-invasively, in real time, and in the automatic mode. The monitoring series of the ecosystem functions can be used to assess the state of the ecosystem. One of them is the time series of the concentration of individuals of various plankton taxa in a certain volume. There are characteristic rhythms in the ecosystem function caused by both plankton biorhythms and changes in habitat parameters, as well as their synchronization, whereas a change in this rhythm may serve as an alarm signal for the ecosystem deprivation. By constructing the analogies based on the spectroscopy of atoms and molecules the paper shows the bioindication capabilities of the Fourier spectra of the plankton ecosystem function, built during monitoring measurements using a submersible digital holographic camera. The spectroscopic study of plankton allows determining the pollution in the plankton habitat at early stages. The in situ experimental data suggest that the order and chaos of plankton biocenosis are reflected in the structure of the spectral lines of the ecosystem functions associated with plankton. Various self-oscillatory processes in the biocenosis that regulate the plankton number and rhythm form the basis for plankton spectroscopy, which may be used for bioindication monitoring.
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