Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
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
Descripción
Sumario: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.