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Fast digital lossy compression for X-ray ptychographic data

Increases in X-ray brightness from synchrotron light sources lead to a requirement for higher frame rates from hybrid pixel array detectors (HPADs), while also favoring charge integration over photon counting. However, transfer of the full uncompressed data will begin to constrain detector design, a...

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Detalles Bibliográficos
Autores principales: Huang, Panpan, Du, Ming, Hammer, Mike, Miceli, Antonino, Jacobsen, Chris
Formato: Online Artículo Texto
Lenguaje:English
Publicado: International Union of Crystallography 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7842218/
https://www.ncbi.nlm.nih.gov/pubmed/33399580
http://dx.doi.org/10.1107/S1600577520013326
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author Huang, Panpan
Du, Ming
Hammer, Mike
Miceli, Antonino
Jacobsen, Chris
author_facet Huang, Panpan
Du, Ming
Hammer, Mike
Miceli, Antonino
Jacobsen, Chris
author_sort Huang, Panpan
collection PubMed
description Increases in X-ray brightness from synchrotron light sources lead to a requirement for higher frame rates from hybrid pixel array detectors (HPADs), while also favoring charge integration over photon counting. However, transfer of the full uncompressed data will begin to constrain detector design, as well as limit the achievable continuous frame rate. Here a data compression scheme that is easy to implement in a HPAD’s application-specific integrated circuit (ASIC) is described, and how different degrees of compression affect image quality in ptychography, a commonly employed coherent imaging method, is examined. Using adaptive encoding quantization, it is shown in simulations that one can digitize signals up to 16383 photons per pixel (corresponding to 14 bits of information) using only 8 or 9 bits for data transfer, with negligible effect on the reconstructed image.
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spelling pubmed-78422182021-02-05 Fast digital lossy compression for X-ray ptychographic data Huang, Panpan Du, Ming Hammer, Mike Miceli, Antonino Jacobsen, Chris J Synchrotron Radiat Research Papers Increases in X-ray brightness from synchrotron light sources lead to a requirement for higher frame rates from hybrid pixel array detectors (HPADs), while also favoring charge integration over photon counting. However, transfer of the full uncompressed data will begin to constrain detector design, as well as limit the achievable continuous frame rate. Here a data compression scheme that is easy to implement in a HPAD’s application-specific integrated circuit (ASIC) is described, and how different degrees of compression affect image quality in ptychography, a commonly employed coherent imaging method, is examined. Using adaptive encoding quantization, it is shown in simulations that one can digitize signals up to 16383 photons per pixel (corresponding to 14 bits of information) using only 8 or 9 bits for data transfer, with negligible effect on the reconstructed image. International Union of Crystallography 2021-01-01 /pmc/articles/PMC7842218/ /pubmed/33399580 http://dx.doi.org/10.1107/S1600577520013326 Text en © Panpan Huang et al. 2021 http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution (CC-BY) Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original authors and source are cited.http://creativecommons.org/licenses/by/4.0/
spellingShingle Research Papers
Huang, Panpan
Du, Ming
Hammer, Mike
Miceli, Antonino
Jacobsen, Chris
Fast digital lossy compression for X-ray ptychographic data
title Fast digital lossy compression for X-ray ptychographic data
title_full Fast digital lossy compression for X-ray ptychographic data
title_fullStr Fast digital lossy compression for X-ray ptychographic data
title_full_unstemmed Fast digital lossy compression for X-ray ptychographic data
title_short Fast digital lossy compression for X-ray ptychographic data
title_sort fast digital lossy compression for x-ray ptychographic data
topic Research Papers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7842218/
https://www.ncbi.nlm.nih.gov/pubmed/33399580
http://dx.doi.org/10.1107/S1600577520013326
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