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Title: Two-dimensional pixel array image sensor for protein crystallography

Abstract

A 2D pixel array image sensor module has been designed for time resolved Protein Crystallography. This smart pixels detector significantly enhances time resolved Laue Protein crystallography by two to three orders of magnitude compared to existing sensors like films or phosphor screens coupled to CCDs. The resolution in time and dynamic range of this type of detector will allow one to study the evolution of structural changes that occur within the protein as a function of time. This detector will also considerably accelerate data collection in static Laue or monochromatic crystallography and make better use of the intense beam delivered by synchrotron light sources. The event driven pixel array detectors, based on the column Architecture, can provide multiparameter information (energy discrimination, time), with sparse and frameless readout without significant dead time. The prototype module consists of a 16x16 pixel diode array bump-bonded to the integrated circuit. The detection area is 150x150 square microns.

Authors:
; ;  [1]
  1. and others
Publication Date:
Research Org.:
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Sponsoring Org.:
USDOE Office of Energy Research, Washington, DC (United States); National Insts. of Health, Bethesda, MD (United States)
OSTI Identifier:
413167
Report Number(s):
LBNL-39016; CONF-960848-27
ON: TI96014920; CNN: Grant RR10748
DOE Contract Number:  
AC03-76SF00098
Resource Type:
Technical Report
Resource Relation:
Conference: Denver `96: 1. conference on space processing of materials, at SPIE International Society for Optical Engineering (SPIE) annual international symposium on optical science, engineering, and instrumentation, Denver, CO (United States), 4-9 Aug 1996; Other Information: PBD: Jul 1996
Country of Publication:
United States
Language:
English
Subject:
55 BIOLOGY AND MEDICINE, BASIC STUDIES; 44 INSTRUMENTATION, INCLUDING NUCLEAR AND PARTICLE DETECTORS; 42 ENGINEERING NOT INCLUDED IN OTHER CATEGORIES; X-RAY DIFFRACTION; PHOTODETECTORS; PHOTODIODES; FABRICATION; X-RAY DIFFRACTOMETERS; PROTEIN STRUCTURE; MICROELECTRONIC CIRCUITS

Citation Formats

Beuville, E, Beche, J -F, and Cork, C. Two-dimensional pixel array image sensor for protein crystallography. United States: N. p., 1996. Web. doi:10.2172/413167.
Beuville, E, Beche, J -F, & Cork, C. Two-dimensional pixel array image sensor for protein crystallography. United States. https://doi.org/10.2172/413167
Beuville, E, Beche, J -F, and Cork, C. 1996. "Two-dimensional pixel array image sensor for protein crystallography". United States. https://doi.org/10.2172/413167. https://www.osti.gov/servlets/purl/413167.
@article{osti_413167,
title = {Two-dimensional pixel array image sensor for protein crystallography},
author = {Beuville, E and Beche, J -F and Cork, C},
abstractNote = {A 2D pixel array image sensor module has been designed for time resolved Protein Crystallography. This smart pixels detector significantly enhances time resolved Laue Protein crystallography by two to three orders of magnitude compared to existing sensors like films or phosphor screens coupled to CCDs. The resolution in time and dynamic range of this type of detector will allow one to study the evolution of structural changes that occur within the protein as a function of time. This detector will also considerably accelerate data collection in static Laue or monochromatic crystallography and make better use of the intense beam delivered by synchrotron light sources. The event driven pixel array detectors, based on the column Architecture, can provide multiparameter information (energy discrimination, time), with sparse and frameless readout without significant dead time. The prototype module consists of a 16x16 pixel diode array bump-bonded to the integrated circuit. The detection area is 150x150 square microns.},
doi = {10.2172/413167},
url = {https://www.osti.gov/biblio/413167}, journal = {},
number = ,
volume = ,
place = {United States},
year = {Mon Jul 01 00:00:00 EDT 1996},
month = {Mon Jul 01 00:00:00 EDT 1996}
}