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Navigating the Light-Sheet Image Analysis Software Landscape: Concepts for Driving Cohesion From Data Acquisition to Analysis
From the combined perspective of biologists, microscope instrumentation developers, imaging core facility scientists, and high performance computing experts, we discuss the challenges faced when selecting imaging and analysis tools in the field of light-sheet microscopy. Our goal is to provide a con...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8631767/ https://www.ncbi.nlm.nih.gov/pubmed/34858975 http://dx.doi.org/10.3389/fcell.2021.739079 |
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author | Gibbs, Holly C. Mota, Sakina M. Hart, Nathan A. Min, Sun Won Vernino, Alex O. Pritchard, Anna L. Sen, Anindito Vitha, Stan Sarasamma, Sreeja McIntosh, Avery L. Yeh, Alvin T. Lekven, Arne C. McCreedy, Dylan A. Maitland, Kristen C. Perez, Lisa M. |
author_facet | Gibbs, Holly C. Mota, Sakina M. Hart, Nathan A. Min, Sun Won Vernino, Alex O. Pritchard, Anna L. Sen, Anindito Vitha, Stan Sarasamma, Sreeja McIntosh, Avery L. Yeh, Alvin T. Lekven, Arne C. McCreedy, Dylan A. Maitland, Kristen C. Perez, Lisa M. |
author_sort | Gibbs, Holly C. |
collection | PubMed |
description | From the combined perspective of biologists, microscope instrumentation developers, imaging core facility scientists, and high performance computing experts, we discuss the challenges faced when selecting imaging and analysis tools in the field of light-sheet microscopy. Our goal is to provide a contextual framework of basic computing concepts that cell and developmental biologists can refer to when mapping the peculiarities of different light-sheet data to specific existing computing environments and image analysis pipelines. We provide our perspective on efficient processes for tool selection and review current hardware and software commonly used in light-sheet image analysis, as well as discuss what ideal tools for the future may look like. |
format | Online Article Text |
id | pubmed-8631767 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-86317672021-12-01 Navigating the Light-Sheet Image Analysis Software Landscape: Concepts for Driving Cohesion From Data Acquisition to Analysis Gibbs, Holly C. Mota, Sakina M. Hart, Nathan A. Min, Sun Won Vernino, Alex O. Pritchard, Anna L. Sen, Anindito Vitha, Stan Sarasamma, Sreeja McIntosh, Avery L. Yeh, Alvin T. Lekven, Arne C. McCreedy, Dylan A. Maitland, Kristen C. Perez, Lisa M. Front Cell Dev Biol Cell and Developmental Biology From the combined perspective of biologists, microscope instrumentation developers, imaging core facility scientists, and high performance computing experts, we discuss the challenges faced when selecting imaging and analysis tools in the field of light-sheet microscopy. Our goal is to provide a contextual framework of basic computing concepts that cell and developmental biologists can refer to when mapping the peculiarities of different light-sheet data to specific existing computing environments and image analysis pipelines. We provide our perspective on efficient processes for tool selection and review current hardware and software commonly used in light-sheet image analysis, as well as discuss what ideal tools for the future may look like. Frontiers Media S.A. 2021-11-01 /pmc/articles/PMC8631767/ /pubmed/34858975 http://dx.doi.org/10.3389/fcell.2021.739079 Text en Copyright © 2021 Gibbs, Mota, Hart, Min, Vernino, Pritchard, Sen, Vitha, Sarasamma, McIntosh, Yeh, Lekven, McCreedy, Maitland and Perez. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Cell and Developmental Biology Gibbs, Holly C. Mota, Sakina M. Hart, Nathan A. Min, Sun Won Vernino, Alex O. Pritchard, Anna L. Sen, Anindito Vitha, Stan Sarasamma, Sreeja McIntosh, Avery L. Yeh, Alvin T. Lekven, Arne C. McCreedy, Dylan A. Maitland, Kristen C. Perez, Lisa M. Navigating the Light-Sheet Image Analysis Software Landscape: Concepts for Driving Cohesion From Data Acquisition to Analysis |
title | Navigating the Light-Sheet Image Analysis Software Landscape: Concepts for Driving Cohesion From Data Acquisition to Analysis |
title_full | Navigating the Light-Sheet Image Analysis Software Landscape: Concepts for Driving Cohesion From Data Acquisition to Analysis |
title_fullStr | Navigating the Light-Sheet Image Analysis Software Landscape: Concepts for Driving Cohesion From Data Acquisition to Analysis |
title_full_unstemmed | Navigating the Light-Sheet Image Analysis Software Landscape: Concepts for Driving Cohesion From Data Acquisition to Analysis |
title_short | Navigating the Light-Sheet Image Analysis Software Landscape: Concepts for Driving Cohesion From Data Acquisition to Analysis |
title_sort | navigating the light-sheet image analysis software landscape: concepts for driving cohesion from data acquisition to analysis |
topic | Cell and Developmental Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8631767/ https://www.ncbi.nlm.nih.gov/pubmed/34858975 http://dx.doi.org/10.3389/fcell.2021.739079 |
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