Gibbs, Holly C. and Mota, Sakina M. and Hart, Nathan A. and Min, Sun Won and Vernino, Alex O. and Pritchard, Anna L. and Sen, Anindito and Vitha, Stan and Sarasamma, Sreeja and McIntosh, Avery L. and Yeh, Alvin T. and Lekven, Arne C. and McCreedy, Dylan A. and Maitland, Kristen C. and Perez, Lisa M. (2021) Navigating the Light-Sheet Image Analysis Software Landscape: Concepts for Driving Cohesion From Data Acquisition to Analysis. Frontiers in Cell and Developmental Biology, 9. ISSN 2296-634X
pubmed-zip/versions/2/package-entries/fcell-09-739079-r1/fcell-09-739079.pdf - Published Version
Download (4MB)
Abstract
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.
Item Type: | Article |
---|---|
Subjects: | Library Eprints > Biological Science |
Depositing User: | Managing Editor |
Date Deposited: | 31 Dec 2022 06:17 |
Last Modified: | 10 Jul 2024 05:41 |
URI: | http://news.pacificarchive.com/id/eprint/273 |