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...

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Autores principales: Holly C. Gibbs, Sakina M. Mota, Nathan A. Hart, Sun Won Min, Alex O. Vernino, Anna L. Pritchard, Anindito Sen, Stan Vitha, Sreeja Sarasamma, Avery L. McIntosh, Alvin T. Yeh, Arne C. Lekven, Dylan A. McCreedy, Kristen C. Maitland, Lisa M. Perez
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Lenguaje:EN
Publicado: Frontiers Media S.A. 2021
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Acceso en línea:https://doaj.org/article/7b9c40c88b904acc819188e096001d6f
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spelling oai:doaj.org-article:7b9c40c88b904acc819188e096001d6f2021-11-10T17:30:33ZNavigating the Light-Sheet Image Analysis Software Landscape: Concepts for Driving Cohesion From Data Acquisition to Analysis2296-634X10.3389/fcell.2021.739079https://doaj.org/article/7b9c40c88b904acc819188e096001d6f2021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fcell.2021.739079/fullhttps://doaj.org/toc/2296-634XFrom 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.Holly C. GibbsHolly C. GibbsSakina M. MotaNathan A. HartSun Won MinAlex O. VerninoAnna L. PritchardAnindito SenStan VithaSreeja SarasammaAvery L. McIntoshAlvin T. YehArne C. LekvenDylan A. McCreedyDylan A. McCreedyKristen C. MaitlandKristen C. MaitlandLisa M. PerezFrontiers Media S.A.articlelight-sheetimage analysisparallel processingmultiview deconvolutiontool selectionBiology (General)QH301-705.5ENFrontiers in Cell and Developmental Biology, Vol 9 (2021)
institution DOAJ
collection DOAJ
language EN
topic light-sheet
image analysis
parallel processing
multiview deconvolution
tool selection
Biology (General)
QH301-705.5
spellingShingle light-sheet
image analysis
parallel processing
multiview deconvolution
tool selection
Biology (General)
QH301-705.5
Holly C. Gibbs
Holly C. Gibbs
Sakina M. Mota
Nathan A. Hart
Sun Won Min
Alex O. Vernino
Anna L. Pritchard
Anindito Sen
Stan Vitha
Sreeja Sarasamma
Avery L. McIntosh
Alvin T. Yeh
Arne C. Lekven
Dylan A. McCreedy
Dylan A. McCreedy
Kristen C. Maitland
Kristen C. Maitland
Lisa M. Perez
Navigating the Light-Sheet Image Analysis Software Landscape: Concepts for Driving Cohesion From Data Acquisition to Analysis
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 article
author Holly C. Gibbs
Holly C. Gibbs
Sakina M. Mota
Nathan A. Hart
Sun Won Min
Alex O. Vernino
Anna L. Pritchard
Anindito Sen
Stan Vitha
Sreeja Sarasamma
Avery L. McIntosh
Alvin T. Yeh
Arne C. Lekven
Dylan A. McCreedy
Dylan A. McCreedy
Kristen C. Maitland
Kristen C. Maitland
Lisa M. Perez
author_facet Holly C. Gibbs
Holly C. Gibbs
Sakina M. Mota
Nathan A. Hart
Sun Won Min
Alex O. Vernino
Anna L. Pritchard
Anindito Sen
Stan Vitha
Sreeja Sarasamma
Avery L. McIntosh
Alvin T. Yeh
Arne C. Lekven
Dylan A. McCreedy
Dylan A. McCreedy
Kristen C. Maitland
Kristen C. Maitland
Lisa M. Perez
author_sort Holly C. Gibbs
title 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_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_sort navigating the light-sheet image analysis software landscape: concepts for driving cohesion from data acquisition to analysis
publisher Frontiers Media S.A.
publishDate 2021
url https://doaj.org/article/7b9c40c88b904acc819188e096001d6f
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