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Multimodal factor evaluation system for organismal transparency by hyperspectral imaging

Organismal transparency constitutes a significant concern in whole-body live imaging, yet its underlying structural, genetic, and physiological foundations remain inadequately comprehended. Diverse environmental and physiological factors (multimodal factors) are recognized for their influence on org...

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Autores principales: Shito, Takumi T., Oka, Kotaro, Hotta, Kohji
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10566722/
https://www.ncbi.nlm.nih.gov/pubmed/37819990
http://dx.doi.org/10.1371/journal.pone.0292524
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author Shito, Takumi T.
Oka, Kotaro
Hotta, Kohji
author_facet Shito, Takumi T.
Oka, Kotaro
Hotta, Kohji
author_sort Shito, Takumi T.
collection PubMed
description Organismal transparency constitutes a significant concern in whole-body live imaging, yet its underlying structural, genetic, and physiological foundations remain inadequately comprehended. Diverse environmental and physiological factors (multimodal factors) are recognized for their influence on organismal transparency. However, a comprehensive and integrated quantitative evaluation system for biological transparency across a broad spectrum of wavelengths is presently lacking. In this study, we have devised an evaluation system to gauge alterations in organismal transparency induced by multimodal factors, encompassing a wide range of transmittance spanning from 380 to 1000 nm, utilizing hyperspectral microscopy. Through experimentation, we have scrutinized the impact of three environmental variables (temperature, salinity, and pH) and the effect of 11 drugs treatment containing inhibitors targeting physiological processes in the ascidian Ascidiella aspersa. This particular species, known for its exceptionally transparent eggs and embryos, serves as an ideal model. We calculated bio-transparency defined as the mean transmittance ratio of visible light within the range of 400–760 nm. Our findings reveal a positive correlation between bio-transparency and temperature, while an inverse relationship is observed with salinity levels. Notably, reduced pH levels and exposure to six drugs have led to significant decreasing in bio-transparency (ranging from 4.2% to 58.6%). Principal component analysis (PCA) on the measured transmittance data classified these factors into distinct groups. This suggest diverse pathways through which opacification occurs across different spectrum regions. The outcome of our quantitative analysis of bio-transparency holds potential applicability to diverse living organisms on multiple scales. This analytical framework also contributes to a holistic comprehension of the mechanisms underlying biological transparency, which is susceptible to many environmental and physiological modalities.
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spelling pubmed-105667222023-10-12 Multimodal factor evaluation system for organismal transparency by hyperspectral imaging Shito, Takumi T. Oka, Kotaro Hotta, Kohji PLoS One Research Article Organismal transparency constitutes a significant concern in whole-body live imaging, yet its underlying structural, genetic, and physiological foundations remain inadequately comprehended. Diverse environmental and physiological factors (multimodal factors) are recognized for their influence on organismal transparency. However, a comprehensive and integrated quantitative evaluation system for biological transparency across a broad spectrum of wavelengths is presently lacking. In this study, we have devised an evaluation system to gauge alterations in organismal transparency induced by multimodal factors, encompassing a wide range of transmittance spanning from 380 to 1000 nm, utilizing hyperspectral microscopy. Through experimentation, we have scrutinized the impact of three environmental variables (temperature, salinity, and pH) and the effect of 11 drugs treatment containing inhibitors targeting physiological processes in the ascidian Ascidiella aspersa. This particular species, known for its exceptionally transparent eggs and embryos, serves as an ideal model. We calculated bio-transparency defined as the mean transmittance ratio of visible light within the range of 400–760 nm. Our findings reveal a positive correlation between bio-transparency and temperature, while an inverse relationship is observed with salinity levels. Notably, reduced pH levels and exposure to six drugs have led to significant decreasing in bio-transparency (ranging from 4.2% to 58.6%). Principal component analysis (PCA) on the measured transmittance data classified these factors into distinct groups. This suggest diverse pathways through which opacification occurs across different spectrum regions. The outcome of our quantitative analysis of bio-transparency holds potential applicability to diverse living organisms on multiple scales. This analytical framework also contributes to a holistic comprehension of the mechanisms underlying biological transparency, which is susceptible to many environmental and physiological modalities. Public Library of Science 2023-10-11 /pmc/articles/PMC10566722/ /pubmed/37819990 http://dx.doi.org/10.1371/journal.pone.0292524 Text en © 2023 Shito et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Shito, Takumi T.
Oka, Kotaro
Hotta, Kohji
Multimodal factor evaluation system for organismal transparency by hyperspectral imaging
title Multimodal factor evaluation system for organismal transparency by hyperspectral imaging
title_full Multimodal factor evaluation system for organismal transparency by hyperspectral imaging
title_fullStr Multimodal factor evaluation system for organismal transparency by hyperspectral imaging
title_full_unstemmed Multimodal factor evaluation system for organismal transparency by hyperspectral imaging
title_short Multimodal factor evaluation system for organismal transparency by hyperspectral imaging
title_sort multimodal factor evaluation system for organismal transparency by hyperspectral imaging
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10566722/
https://www.ncbi.nlm.nih.gov/pubmed/37819990
http://dx.doi.org/10.1371/journal.pone.0292524
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