Hybrid confocal fluorescence and photoacoustic microscopy for the label-free investigation of melanin accumulation in fish scales.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
03 05 2022
Historique:
received: 26 12 2021
accepted: 15 03 2022
entrez: 3 5 2022
pubmed: 4 5 2022
medline: 6 5 2022
Statut: epublish

Résumé

Lower vertebrates, including fish, can rapidly alter skin lightness through changes in melanin concentration and melanosomes' mobility according to various factors, which include background color, light intensity, ambient temperature, social context, husbandry practices and acute or chronic stressful stimuli. Within this framework, the determination of skin chromaticity parameters in fish species is estimated either in specific areas using colorimeters or at the whole animal level using image processing and analysis software. Nevertheless, the accurate quantification of melanin content or melanophore coverage in fish skin is quite challenging as a result of the laborious chemical analysis and the typical application of simple optical imaging methods, requiring also to euthanize the fish in order to obtain large skin samples for relevant investigations. Here we present the application of a novel hybrid confocal fluorescence and photoacoustic microscopy prototype for the label-free imaging and quantification of melanin in fish scales samples with high spatial resolution, sensitivity and detection specificity. The hybrid images are automatically processed through optimized algorithms, aiming at the accurate and rapid extraction of various melanin accumulation indices in large datasets (i.e., total melanin content, melanophores' area, density and coverage) corresponding to different fish species and groups. Furthermore, convolutional neural network-based algorithms have been trained using the recorded data towards the classification of different scales' samples with high accuracy. In this context, we demonstrate that the proposed methodology may increase substantially the precision, as well as, simplify and expedite the relevant procedures for the quantification of melanin content in marine organisms.

Identifiants

pubmed: 35504968
doi: 10.1038/s41598-022-11262-0
pii: 10.1038/s41598-022-11262-0
pmc: PMC9065085
doi:

Substances chimiques

Melanins 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

7173

Informations de copyright

© 2022. The Author(s).

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Auteurs

George J Tserevelakis (GJ)

Institute of Electronic Structure and Laser, Foundation for Research and Technology Hellas, N. Plastira 100, 70013, Heraklion, Crete, Greece.

Michalis Pavlidis (M)

Department of Biology, University of Crete, Voutes University Campus, 70013, Heraklion, Crete, Greece.

Athanasios Samaras (A)

Department of Biology, University of Crete, Voutes University Campus, 70013, Heraklion, Crete, Greece.

Georgios D Barmparis (GD)

Institute of Theoretical and Computational Physics and Department of Physics, University of Crete, P.O. Box 2208, 71003, Heraklion, Greece.

Kostas G Mavrakis (KG)

Institute of Electronic Structure and Laser, Foundation for Research and Technology Hellas, N. Plastira 100, 70013, Heraklion, Crete, Greece.

Ioannis Draganidis (I)

Institute of Electronic Structure and Laser, Foundation for Research and Technology Hellas, N. Plastira 100, 70013, Heraklion, Crete, Greece.

Athanasios Oikonomou (A)

Institute of Electronic Structure and Laser, Foundation for Research and Technology Hellas, N. Plastira 100, 70013, Heraklion, Crete, Greece.

Eleftheria Fanouraki (E)

Department of Biology, University of Crete, Voutes University Campus, 70013, Heraklion, Crete, Greece.

Giorgos P Tsironis (GP)

Institute of Theoretical and Computational Physics and Department of Physics, University of Crete, P.O. Box 2208, 71003, Heraklion, Greece.

Giannis Zacharakis (G)

Institute of Electronic Structure and Laser, Foundation for Research and Technology Hellas, N. Plastira 100, 70013, Heraklion, Crete, Greece. zahari@iesl.forth.gr.

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