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Connecting the Dots: From an Easy Method to Computerized Species Determination
Differences in growth rate of forensically important dipteran larvae make species determination an essential requisite for an accurate estimation of time since colonization of the body. Interspecific morphological similarities, however, complicate species determination. Muscle attachment site (MAS)...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5492066/ https://www.ncbi.nlm.nih.gov/pubmed/28524106 http://dx.doi.org/10.3390/insects8020052 |
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author | Niederegger, Senta Döge, Klaus-Peter Peter, Marcus Eickhölter, Tobias Mall, Gita |
author_facet | Niederegger, Senta Döge, Klaus-Peter Peter, Marcus Eickhölter, Tobias Mall, Gita |
author_sort | Niederegger, Senta |
collection | PubMed |
description | Differences in growth rate of forensically important dipteran larvae make species determination an essential requisite for an accurate estimation of time since colonization of the body. Interspecific morphological similarities, however, complicate species determination. Muscle attachment site (MAS) patterns on the inside of the cuticula of fly larvae are species specific and grow proportionally with the animal. The patterns can therefore be used for species identification, as well as age estimation in forensically important dipteran larvae. Additionally, in species where determination has proven to be difficult—even when employing genetic methods—this easy and cheap method can be successfully applied. The method was validated for a number of Calliphoridae, as well as Sarcophagidae; for Piophilidae species, however, the method proved to be inapt. The aim of this article is to assess the utility of the MAS method for applications in forensic entomology. Furthermore, the authors are currently engineering automation for pattern acquisition in order to expand the scope of the method. Automation is also required for the fast and reasonable application of MAS for species determination. Using filters on digital microscope pictures and cross-correlating them within their frequency range allows for a calculation of the correlation coefficients. Such pattern recognition permits an automatic comparison of one larva with a database of MAS reference patterns in order to find the correct, or at least the most likely, species. This facilitates species determination in immature stages of forensically important flies and economizes time investment, as rearing to adult flies will no longer be required. |
format | Online Article Text |
id | pubmed-5492066 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-54920662017-07-03 Connecting the Dots: From an Easy Method to Computerized Species Determination Niederegger, Senta Döge, Klaus-Peter Peter, Marcus Eickhölter, Tobias Mall, Gita Insects Article Differences in growth rate of forensically important dipteran larvae make species determination an essential requisite for an accurate estimation of time since colonization of the body. Interspecific morphological similarities, however, complicate species determination. Muscle attachment site (MAS) patterns on the inside of the cuticula of fly larvae are species specific and grow proportionally with the animal. The patterns can therefore be used for species identification, as well as age estimation in forensically important dipteran larvae. Additionally, in species where determination has proven to be difficult—even when employing genetic methods—this easy and cheap method can be successfully applied. The method was validated for a number of Calliphoridae, as well as Sarcophagidae; for Piophilidae species, however, the method proved to be inapt. The aim of this article is to assess the utility of the MAS method for applications in forensic entomology. Furthermore, the authors are currently engineering automation for pattern acquisition in order to expand the scope of the method. Automation is also required for the fast and reasonable application of MAS for species determination. Using filters on digital microscope pictures and cross-correlating them within their frequency range allows for a calculation of the correlation coefficients. Such pattern recognition permits an automatic comparison of one larva with a database of MAS reference patterns in order to find the correct, or at least the most likely, species. This facilitates species determination in immature stages of forensically important flies and economizes time investment, as rearing to adult flies will no longer be required. MDPI 2017-05-18 /pmc/articles/PMC5492066/ /pubmed/28524106 http://dx.doi.org/10.3390/insects8020052 Text en © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Niederegger, Senta Döge, Klaus-Peter Peter, Marcus Eickhölter, Tobias Mall, Gita Connecting the Dots: From an Easy Method to Computerized Species Determination |
title | Connecting the Dots: From an Easy Method to Computerized Species Determination |
title_full | Connecting the Dots: From an Easy Method to Computerized Species Determination |
title_fullStr | Connecting the Dots: From an Easy Method to Computerized Species Determination |
title_full_unstemmed | Connecting the Dots: From an Easy Method to Computerized Species Determination |
title_short | Connecting the Dots: From an Easy Method to Computerized Species Determination |
title_sort | connecting the dots: from an easy method to computerized species determination |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5492066/ https://www.ncbi.nlm.nih.gov/pubmed/28524106 http://dx.doi.org/10.3390/insects8020052 |
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