Nanosurveyor: a framework for real-time data processing

BACKGROUND: The ever improving brightness of accelerator based sources is enabling novel observations and discoveries with faster frame rates, larger fields of view, higher resolution, and higher dimensionality. RESULTS: Here we present an integrated software/algorithmic framework designed to capita...

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Detalles Bibliográficos
Autores principales: Daurer, Benedikt J., Krishnan, Hari, Perciano, Talita, Maia, Filipe R. N. C., Shapiro, David A., Sethian, James A., Marchesini, Stefano
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2017
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5313566/
https://www.ncbi.nlm.nih.gov/pubmed/28261545
http://dx.doi.org/10.1186/s40679-017-0039-0
Descripción
Sumario:BACKGROUND: The ever improving brightness of accelerator based sources is enabling novel observations and discoveries with faster frame rates, larger fields of view, higher resolution, and higher dimensionality. RESULTS: Here we present an integrated software/algorithmic framework designed to capitalize on high-throughput experiments through efficient kernels, load-balanced workflows, which are scalable in design. We describe the streamlined processing pipeline of ptychography data analysis. CONCLUSIONS: The pipeline provides throughput, compression, and resolution as well as rapid feedback to the microscope operators.

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