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PiSpy: An affordable, accessible, and flexible imaging platform for the automated observation of organismal biology and behavior
A great deal of understanding can be gleaned from direct observation of organismal growth, development, and behavior. However, direct observation can be time consuming and influence the organism through unintentional stimuli. Additionally, video capturing equipment can often be prohibitively expensi...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9604989/ https://www.ncbi.nlm.nih.gov/pubmed/36288371 http://dx.doi.org/10.1371/journal.pone.0276652 |
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author | Morris, Benjamin I. Kittredge, Marcy J. Casey, Bea Meng, Owen Chagas, André Maia Lamparter, Matt Thul, Thomas Pask, Gregory M. |
author_facet | Morris, Benjamin I. Kittredge, Marcy J. Casey, Bea Meng, Owen Chagas, André Maia Lamparter, Matt Thul, Thomas Pask, Gregory M. |
author_sort | Morris, Benjamin I. |
collection | PubMed |
description | A great deal of understanding can be gleaned from direct observation of organismal growth, development, and behavior. However, direct observation can be time consuming and influence the organism through unintentional stimuli. Additionally, video capturing equipment can often be prohibitively expensive, difficult to modify to one’s specific needs, and may come with unnecessary features. Here, we describe PiSpy, a low-cost, automated video acquisition platform that uses a Raspberry Pi computer and camera to record video or images at specified time intervals or when externally triggered. All settings and controls, such as programmable light cycling, are accessible to users with no programming experience through an easy-to-use graphical user interface. Importantly, the entire PiSpy system can be assembled for less than $100 using laser-cut and 3D-printed components. We demonstrate the broad applications and flexibility of PiSpy across a range of model and non-model organisms. Designs, instructions, and code can be accessed through an online repository, where a global community of PiSpy users can also contribute their own unique customizations and help grow the community of open-source research solutions. |
format | Online Article Text |
id | pubmed-9604989 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-96049892022-10-27 PiSpy: An affordable, accessible, and flexible imaging platform for the automated observation of organismal biology and behavior Morris, Benjamin I. Kittredge, Marcy J. Casey, Bea Meng, Owen Chagas, André Maia Lamparter, Matt Thul, Thomas Pask, Gregory M. PLoS One Research Article A great deal of understanding can be gleaned from direct observation of organismal growth, development, and behavior. However, direct observation can be time consuming and influence the organism through unintentional stimuli. Additionally, video capturing equipment can often be prohibitively expensive, difficult to modify to one’s specific needs, and may come with unnecessary features. Here, we describe PiSpy, a low-cost, automated video acquisition platform that uses a Raspberry Pi computer and camera to record video or images at specified time intervals or when externally triggered. All settings and controls, such as programmable light cycling, are accessible to users with no programming experience through an easy-to-use graphical user interface. Importantly, the entire PiSpy system can be assembled for less than $100 using laser-cut and 3D-printed components. We demonstrate the broad applications and flexibility of PiSpy across a range of model and non-model organisms. Designs, instructions, and code can be accessed through an online repository, where a global community of PiSpy users can also contribute their own unique customizations and help grow the community of open-source research solutions. Public Library of Science 2022-10-26 /pmc/articles/PMC9604989/ /pubmed/36288371 http://dx.doi.org/10.1371/journal.pone.0276652 Text en © 2022 Morris 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 Morris, Benjamin I. Kittredge, Marcy J. Casey, Bea Meng, Owen Chagas, André Maia Lamparter, Matt Thul, Thomas Pask, Gregory M. PiSpy: An affordable, accessible, and flexible imaging platform for the automated observation of organismal biology and behavior |
title | PiSpy: An affordable, accessible, and flexible imaging platform for the automated observation of organismal biology and behavior |
title_full | PiSpy: An affordable, accessible, and flexible imaging platform for the automated observation of organismal biology and behavior |
title_fullStr | PiSpy: An affordable, accessible, and flexible imaging platform for the automated observation of organismal biology and behavior |
title_full_unstemmed | PiSpy: An affordable, accessible, and flexible imaging platform for the automated observation of organismal biology and behavior |
title_short | PiSpy: An affordable, accessible, and flexible imaging platform for the automated observation of organismal biology and behavior |
title_sort | pispy: an affordable, accessible, and flexible imaging platform for the automated observation of organismal biology and behavior |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9604989/ https://www.ncbi.nlm.nih.gov/pubmed/36288371 http://dx.doi.org/10.1371/journal.pone.0276652 |
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