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iMSRC: converting a standard automated microscope into an intelligent screening platform
Microscopy in the context of biomedical research is demanding new tools to automatically detect and capture objects of interest. The few extant packages addressing this need, however, have enjoyed limited uptake due to complexity of use and installation. To overcome these drawbacks, we developed iMS...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4444834/ https://www.ncbi.nlm.nih.gov/pubmed/26015081 http://dx.doi.org/10.1038/srep10502 |
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author | Carro, Angel Perez-Martinez, Manuel Soriano, Joaquim Pisano, David G. Megias, Diego |
author_facet | Carro, Angel Perez-Martinez, Manuel Soriano, Joaquim Pisano, David G. Megias, Diego |
author_sort | Carro, Angel |
collection | PubMed |
description | Microscopy in the context of biomedical research is demanding new tools to automatically detect and capture objects of interest. The few extant packages addressing this need, however, have enjoyed limited uptake due to complexity of use and installation. To overcome these drawbacks, we developed iMSRC, which combines ease of use and installation with high flexibility and enables applications such as rare event detection and high-resolution tissue sample screening, saving time and resources. |
format | Online Article Text |
id | pubmed-4444834 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-44448342015-06-01 iMSRC: converting a standard automated microscope into an intelligent screening platform Carro, Angel Perez-Martinez, Manuel Soriano, Joaquim Pisano, David G. Megias, Diego Sci Rep Article Microscopy in the context of biomedical research is demanding new tools to automatically detect and capture objects of interest. The few extant packages addressing this need, however, have enjoyed limited uptake due to complexity of use and installation. To overcome these drawbacks, we developed iMSRC, which combines ease of use and installation with high flexibility and enables applications such as rare event detection and high-resolution tissue sample screening, saving time and resources. Nature Publishing Group 2015-05-27 /pmc/articles/PMC4444834/ /pubmed/26015081 http://dx.doi.org/10.1038/srep10502 Text en Copyright © 2015, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Carro, Angel Perez-Martinez, Manuel Soriano, Joaquim Pisano, David G. Megias, Diego iMSRC: converting a standard automated microscope into an intelligent screening platform |
title | iMSRC: converting a standard automated microscope into an intelligent screening platform |
title_full | iMSRC: converting a standard automated microscope into an intelligent screening platform |
title_fullStr | iMSRC: converting a standard automated microscope into an intelligent screening platform |
title_full_unstemmed | iMSRC: converting a standard automated microscope into an intelligent screening platform |
title_short | iMSRC: converting a standard automated microscope into an intelligent screening platform |
title_sort | imsrc: converting a standard automated microscope into an intelligent screening platform |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4444834/ https://www.ncbi.nlm.nih.gov/pubmed/26015081 http://dx.doi.org/10.1038/srep10502 |
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