Improved count rate corrections for highest data quality with PILATUS detectors

Trueb, Peter; Sobott, B. A.; Schnyder, R.; Loeliger, T.; Schneebeli, M.; Kobas, M.; Rassool, Roger; Peake, D. J.; Broennimann, Ch.

doi:10.1107/s0909049512003950

Cited by 43 publications

(30 citation statements)

References 6 publications

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“…4 This article makes use of a Monte-Carlo simulation framework originally developed to study the effect of synchrotron bunch modes on pulse pile-up. 18 The response of the PILA-TUS3 detector has been successfully reproduced for seven bunch modes at different synchrotron facilities. 19 For this study, the code was extended to incorporate fluorescence effects in high-Z sensors to assess the spectral response of HPC detectors.…”

Section: D Synchrotron Measurementsmentioning

confidence: 97%

Assessment of the spectral performance of hybrid photon counting x‐ray detectors

Trueb¹,

Zambon²,

Broennimann³

2017

Medical Physics

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Purpose: Hybrid Photon Counting (HPC) detectors profoundly improved x-ray diffraction experiments at third generation synchrotron facilities. Enabling the simultaneous measurement of x-ray intensities in multiple energy bins, they also have many potential applications in the field of medical imaging. A prerequisite for this is a clean spectral response. To quantify how efficiently HPC detectors are able to assign photons to the correct energy bin, a quantity called Spectral Efficiency (SE) is introduced. This figure of merit measures the number of x-rays with correctly assigned energy normalized to the number of incoming photons. Methods: A prototype HPC detector has been used to perform precision measurements of x-ray spectra at the BESSY synchrotron. The detector consists of a novel ASIC with pixels of 75 9 75 lm 2 size and a 750 lm thick CdTe sensor. The experimental data are complemented by the results of a Monte-Carlo (MC) simulation, which not only includes the physical detection process but also pulse pile-up at high photon fluxes. The spectra and the measured photon flux are used to infer the Spectral Efficiency. Results: In the energy range from 10 to 60 keV, both the Quantum Efficiency and the Spectral Efficiency were precisely measured and simulated. Good agreement between simulation and experiment has been achieved. For the small pixels of the prototype detector, a SE between 15% and 77% has been determined. The MC simulation is used to predict the SE for various pixel sizes at different photon fluxes. For a typical flux of 5•10 7 photons/mm 2 /s used in human Computed Tomography (CT), the highest SE is achieved for pixel sizes in the range between 150 9 150 lm 2 and 300 9 300 lm 2 . Conclusions: The Spectral Efficiency turns out to be a useful figure of merit to quantify the spectral performance of HPC detectors. It allows a quantitative comparison of detectors with different sensor and ASIC configurations over a broad range of x-ray energies and fluxes. The maximization of the SE is a prerequisite for a successful usage of HPC detectors in the field of medical imaging.

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Section: D Synchrotron Measurementsmentioning

confidence: 97%

Assessment of the spectral performance of hybrid photon counting x‐ray detectors

Trueb¹,

Zambon²,

Broennimann³

2017

Medical Physics

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“…In addition to the high dynamic range, fast readout, small pixels and low noise are also important. Single photon counting pixel detectors such as Pilatus [163] and Maxipix [176] have the advantage of e ectively zero readout noise and can reach maximum count rates in the range of 10 5 − 10 7 phot/pixel/s [306,308]. The new Large Area Medipix-Based Detector Array (Lambda) is being developed [225 227] in order to better meet experimental demands.…”

Section: Discussionmentioning

confidence: 99%

Coherent X-ray diffractive imaging on the single-cell-level of microbial samples

Wilke

2015

Göttingen Series in X-Ray Physics

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“…Other sizes are also available. The extremely fast readout makes the larger PILATUS detectors a very attractive proposition for the brightest beamlines, because it allows complete data sets to be collected in a very short time (Trueb et al, 2012). Also, the shutterless operation of the detector removes errors associated with imprecise synchronization of shutter opening and crystal rotation.…”

Section: X-ray Detectorsmentioning

confidence: 99%

Collecting data in the home laboratory: evolution of X-ray sources, detectors and working practices

Skarżyński

2013

Acta Crystallogr D Biol Crystallogr

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While the majority of macromolecular X-ray data are currently collected using highly efficient beamlines at an ever-increasing number of synchrotrons, there is still a need for high-performance reliable systems for in-house experiments. In addition to crystal screening and optimization of data-collection parameters before a synchrotron trip, the home system allows the collection of data as soon as the crystals are produced to obtain the solution of novel structures, especially by the molecular-replacement method, and is invaluable in achieving the quick turnover that is often required for ligand-binding studies in the pharmaceutical industry. There has been a continuous evolution of X-ray sources, detectors and software developed for in-house use in recent years and a diverse range of tools for structural biology laboratories are available. An overview of the main directions of these developments and examples of specific solutions available to the macromolecular crystallography community are presented in this paper, showing that data collection 'at home' is still an attractive proposition complementing the use of synchrotron beamlines.

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Improved count rate corrections for highest data quality with PILATUS detectors

Cited by 43 publications

References 6 publications

Assessment of the spectral performance of hybrid photon counting x‐ray detectors

Assessment of the spectral performance of hybrid photon counting x‐ray detectors

Coherent X-ray diffractive imaging on the single-cell-level of microbial samples

Collecting data in the home laboratory: evolution of X-ray sources, detectors and working practices

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