Cargando…
Using proximal remote sensing in non-invasive phenotyping of invertebrates
Proximal imaging remote sensing technologies are used to phenotype and to characterize organisms based on specific external body reflectance features. These imaging technologies are gaining interest and becoming more widely used and applied in ecological, systematic, evolutionary, and physiological...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5417510/ https://www.ncbi.nlm.nih.gov/pubmed/28472152 http://dx.doi.org/10.1371/journal.pone.0176392 |
_version_ | 1783233898312892416 |
---|---|
author | Li, Xiaowei Xu, Hongxing Feng, Ling Fu, Xiao Zhang, Yalin Nansen, Christian |
author_facet | Li, Xiaowei Xu, Hongxing Feng, Ling Fu, Xiao Zhang, Yalin Nansen, Christian |
author_sort | Li, Xiaowei |
collection | PubMed |
description | Proximal imaging remote sensing technologies are used to phenotype and to characterize organisms based on specific external body reflectance features. These imaging technologies are gaining interest and becoming more widely used and applied in ecological, systematic, evolutionary, and physiological studies of plants and also of animals. However, important factors may impact the quality and consistency of body reflectance features and therefore the ability to use these technologies as part of non-invasive phenotyping and characterization of organisms. We acquired hyperspectral body reflectance profiles from three insect species, and we examined how preparation procedures and preservation time affected the ability to detect reflectance responses to gender, origin, and age. Different portions of the radiometric spectrum varied markedly in their sensitivity to preparation procedures and preservation time. Based on studies of three insect species, we successfully identified specific radiometric regions, in which phenotypic traits become significantly more pronounced based on either: 1) gentle cleaning of museum specimens with distilled water, or 2) killing and preserving insect specimens in 70% ethanol. Standardization of killing and preservation procedures will greatly increase the ability to use proximal imaging remote sensing technologies as part of phenotyping and also when used in ecological and evolutionary studies of invertebrates. |
format | Online Article Text |
id | pubmed-5417510 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-54175102017-05-14 Using proximal remote sensing in non-invasive phenotyping of invertebrates Li, Xiaowei Xu, Hongxing Feng, Ling Fu, Xiao Zhang, Yalin Nansen, Christian PLoS One Research Article Proximal imaging remote sensing technologies are used to phenotype and to characterize organisms based on specific external body reflectance features. These imaging technologies are gaining interest and becoming more widely used and applied in ecological, systematic, evolutionary, and physiological studies of plants and also of animals. However, important factors may impact the quality and consistency of body reflectance features and therefore the ability to use these technologies as part of non-invasive phenotyping and characterization of organisms. We acquired hyperspectral body reflectance profiles from three insect species, and we examined how preparation procedures and preservation time affected the ability to detect reflectance responses to gender, origin, and age. Different portions of the radiometric spectrum varied markedly in their sensitivity to preparation procedures and preservation time. Based on studies of three insect species, we successfully identified specific radiometric regions, in which phenotypic traits become significantly more pronounced based on either: 1) gentle cleaning of museum specimens with distilled water, or 2) killing and preserving insect specimens in 70% ethanol. Standardization of killing and preservation procedures will greatly increase the ability to use proximal imaging remote sensing technologies as part of phenotyping and also when used in ecological and evolutionary studies of invertebrates. Public Library of Science 2017-05-04 /pmc/articles/PMC5417510/ /pubmed/28472152 http://dx.doi.org/10.1371/journal.pone.0176392 Text en © 2017 Li et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://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 Li, Xiaowei Xu, Hongxing Feng, Ling Fu, Xiao Zhang, Yalin Nansen, Christian Using proximal remote sensing in non-invasive phenotyping of invertebrates |
title | Using proximal remote sensing in non-invasive phenotyping of invertebrates |
title_full | Using proximal remote sensing in non-invasive phenotyping of invertebrates |
title_fullStr | Using proximal remote sensing in non-invasive phenotyping of invertebrates |
title_full_unstemmed | Using proximal remote sensing in non-invasive phenotyping of invertebrates |
title_short | Using proximal remote sensing in non-invasive phenotyping of invertebrates |
title_sort | using proximal remote sensing in non-invasive phenotyping of invertebrates |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5417510/ https://www.ncbi.nlm.nih.gov/pubmed/28472152 http://dx.doi.org/10.1371/journal.pone.0176392 |
work_keys_str_mv | AT lixiaowei usingproximalremotesensinginnoninvasivephenotypingofinvertebrates AT xuhongxing usingproximalremotesensinginnoninvasivephenotypingofinvertebrates AT fengling usingproximalremotesensinginnoninvasivephenotypingofinvertebrates AT fuxiao usingproximalremotesensinginnoninvasivephenotypingofinvertebrates AT zhangyalin usingproximalremotesensinginnoninvasivephenotypingofinvertebrates AT nansenchristian usingproximalremotesensinginnoninvasivephenotypingofinvertebrates |