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QuantWorm: A Comprehensive Software Package for Caenorhabditis elegans Phenotypic Assays

Phenotypic assays are crucial in genetics; however, traditional methods that rely on human observation are unsuitable for quantitative, large-scale experiments. Furthermore, there is an increasing need for comprehensive analyses of multiple phenotypes to provide multidimensional information. Here we...

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Autores principales: Jung, Sang-Kyu, Aleman-Meza, Boanerges, Riepe, Celeste, Zhong, Weiwei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3885606/
https://www.ncbi.nlm.nih.gov/pubmed/24416295
http://dx.doi.org/10.1371/journal.pone.0084830
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author Jung, Sang-Kyu
Aleman-Meza, Boanerges
Riepe, Celeste
Zhong, Weiwei
author_facet Jung, Sang-Kyu
Aleman-Meza, Boanerges
Riepe, Celeste
Zhong, Weiwei
author_sort Jung, Sang-Kyu
collection PubMed
description Phenotypic assays are crucial in genetics; however, traditional methods that rely on human observation are unsuitable for quantitative, large-scale experiments. Furthermore, there is an increasing need for comprehensive analyses of multiple phenotypes to provide multidimensional information. Here we developed an automated, high-throughput computer imaging system for quantifying multiple Caenorhabditis elegans phenotypes. Our imaging system is composed of a microscope equipped with a digital camera and a motorized stage connected to a computer running the QuantWorm software package. Currently, the software package contains one data acquisition module and four image analysis programs: WormLifespan, WormLocomotion, WormLength, and WormEgg. The data acquisition module collects images and videos. The WormLifespan software counts the number of moving worms by using two time-lapse images; the WormLocomotion software computes the velocity of moving worms; the WormLength software measures worm body size; and the WormEgg software counts the number of eggs. To evaluate the performance of our software, we compared the results of our software with manual measurements. We then demonstrated the application of the QuantWorm software in a drug assay and a genetic assay. Overall, the QuantWorm software provided accurate measurements at a high speed. Software source code, executable programs, and sample images are available at www.quantworm.org. Our software package has several advantages over current imaging systems for C. elegans. It is an all-in-one package for quantifying multiple phenotypes. The QuantWorm software is written in Java and its source code is freely available, so it does not require use of commercial software or libraries. It can be run on multiple platforms and easily customized to cope with new methods and requirements.
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spelling pubmed-38856062014-01-10 QuantWorm: A Comprehensive Software Package for Caenorhabditis elegans Phenotypic Assays Jung, Sang-Kyu Aleman-Meza, Boanerges Riepe, Celeste Zhong, Weiwei PLoS One Research Article Phenotypic assays are crucial in genetics; however, traditional methods that rely on human observation are unsuitable for quantitative, large-scale experiments. Furthermore, there is an increasing need for comprehensive analyses of multiple phenotypes to provide multidimensional information. Here we developed an automated, high-throughput computer imaging system for quantifying multiple Caenorhabditis elegans phenotypes. Our imaging system is composed of a microscope equipped with a digital camera and a motorized stage connected to a computer running the QuantWorm software package. Currently, the software package contains one data acquisition module and four image analysis programs: WormLifespan, WormLocomotion, WormLength, and WormEgg. The data acquisition module collects images and videos. The WormLifespan software counts the number of moving worms by using two time-lapse images; the WormLocomotion software computes the velocity of moving worms; the WormLength software measures worm body size; and the WormEgg software counts the number of eggs. To evaluate the performance of our software, we compared the results of our software with manual measurements. We then demonstrated the application of the QuantWorm software in a drug assay and a genetic assay. Overall, the QuantWorm software provided accurate measurements at a high speed. Software source code, executable programs, and sample images are available at www.quantworm.org. Our software package has several advantages over current imaging systems for C. elegans. It is an all-in-one package for quantifying multiple phenotypes. The QuantWorm software is written in Java and its source code is freely available, so it does not require use of commercial software or libraries. It can be run on multiple platforms and easily customized to cope with new methods and requirements. Public Library of Science 2014-01-08 /pmc/articles/PMC3885606/ /pubmed/24416295 http://dx.doi.org/10.1371/journal.pone.0084830 Text en © 2014 Jung 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, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Jung, Sang-Kyu
Aleman-Meza, Boanerges
Riepe, Celeste
Zhong, Weiwei
QuantWorm: A Comprehensive Software Package for Caenorhabditis elegans Phenotypic Assays
title QuantWorm: A Comprehensive Software Package for Caenorhabditis elegans Phenotypic Assays
title_full QuantWorm: A Comprehensive Software Package for Caenorhabditis elegans Phenotypic Assays
title_fullStr QuantWorm: A Comprehensive Software Package for Caenorhabditis elegans Phenotypic Assays
title_full_unstemmed QuantWorm: A Comprehensive Software Package for Caenorhabditis elegans Phenotypic Assays
title_short QuantWorm: A Comprehensive Software Package for Caenorhabditis elegans Phenotypic Assays
title_sort quantworm: a comprehensive software package for caenorhabditis elegans phenotypic assays
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3885606/
https://www.ncbi.nlm.nih.gov/pubmed/24416295
http://dx.doi.org/10.1371/journal.pone.0084830
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