ELECTRONIC AREA DETECTOR DATA REDUCTION SYSTEM AT THE SRS

1986 ◽  
Vol 47 (C5) ◽  
pp. C5-109-C5-113
Author(s):  
J. W. CAMPBELL ◽  
D. CROFT ◽  
J. R. HELLIWELL ◽  
P. MACHIN ◽  
M. Z. PAPIZ ◽  
...  
Keyword(s):  
Data Reduction ◽  
Area Detector ◽  
Reduction System

Supls Photogrammetric Data Reduction System

1977 ◽  
Author(s):  
T. H. Wickstrom ◽  
M. A. Cates ◽  
R. I. Swor
Keyword(s):  
Data Reduction ◽  
Reduction System

The EPOS Automated Selective Chemistry Analyzer evaluated.

1986 ◽  
Vol 32 (1) ◽  
pp. 165-169
Author(s):  
G C Moses ◽  
G O Lightle ◽  
J F Tuckerman ◽  
A R Henderson
Keyword(s):  
Alkaline Phosphatase ◽  
Creatine Kinase ◽  
Lactate Dehydrogenase ◽  
Data Reduction ◽  
Analytical Performance ◽  
Gamma Glutamyltransferase ◽  
External Data ◽  
Reduction System ◽  
Oriented System

Abstract We evaluated the analytical performance of the EPOS (Eppendorf Patient Oriented System) Automated Selective Chemistry Analyzer, using the following tests for serum analytes: alanine and aspartate aminotransferases, lactate dehydrogenase, creatine kinase, gamma-glutamyltransferase, alkaline phosphatase, and glucose. Results from the EPOS correlated well with those from comparison instruments (r greater than or equal to 0.990). Precision and linearity limits were excellent for all tests; linearity of the optical and pipetting systems was satisfactory. Reagent carryover was negligible. Sample-to-sample carryover was less than 1% for all tests, but only lactate dehydrogenase was less than the manufacturer's specified 0.5%. Volumes aspirated and dispensed by the sample and reagent II pipetting systems differed significantly from preset values, especially at lower settings; the reagent I system was satisfactory at all volumes tested. Minimal daily maintenance and an external data-reduction system make the EPOS a practical alternative to other bench-top chemistry analyzers.

An Automatic Data Reduction System

1954 ◽  
Vol 26 (5) ◽  
pp. 947-947
Author(s):  
Bill G. Watters ◽  
Jordan J. Baruch ◽  
George W. Kamperman
Keyword(s):  
Data Reduction ◽  
Automatic Data ◽  
Reduction System

scholarly journals Area Detector Systems: Setting Higher Standards for Data Quality

2014 ◽  
Vol 70 (a1) ◽  
pp. C1729-C1729
Author(s):  
Lee Daniels ◽  
Mathias Meyer
Keyword(s):  
Data Collection ◽  
Data Quality ◽  
Data Reduction ◽  
Real Life ◽  
Experimental Procedure ◽  
Area Detector ◽  
Additional Challenge ◽  
Major Factors ◽  
Data Collection Procedure

At least four major factors affect single-crystal diffraction data quality: 1) Hardware (source, goniometer and detector), 2) the sample, 3) the data collection procedure and strategy, and 4) the integration and data reduction software. Three of these factors can be carefully designed by the instrument manufacturer, and the other (the sample) can be chosen to optimize interaction with the instrument. We can define important hardware factors to allow quantification, such as absolute detectivity, overhead, readout speed, minimizing dead time and diffractometer access. Advances in area detector technology (including the new S2 generation of area detectors) and data collection approaches will be presented. The experimental procedure includes the choice of wavelength and the geometric strategy. Details of the detector operation (gain, bin-mode) can be optimized to fit the experiment. Agilent's latest CrysAlisPro software implements the 4th generation of strategy software and includes new on-the-fly detector optimization to provide significant gains in data quality. Integration software must be flexible in order to extract consistently good intensities from excellent samples and also from those that suffer from real-life flaws. Twinned samples represent an additional challenge. Agilent's new data reduction approach for twins significantly improves the data quality of both small molecule and protein twins.

Nika: software for two-dimensional data reduction

2012 ◽  
Vol 45 (2) ◽  
pp. 324-328 ◽  
Author(s):  
Jan Ilavsky
Keyword(s):  
Small Angle ◽  
Data Reduction ◽  
Large Scale ◽  
Grazing Incidence ◽  
Scattering Data ◽  
Two Dimensional ◽  
Saxs Data ◽  
One Dimensional ◽  
Area Detector ◽  
X Ray Scattering

Nikais anIgor Pro-based package for correction, calibration and reduction of two-dimensional area-detector data into one-dimensional data (`lineouts'). It is free (although the user needs a paid license forIgor Pro), open source and highly flexible. While typically used for small-angle X-ray scattering (SAXS) data, it can also be used for grazing-incidence SAXS data, wide-angle diffraction data and even small-angle neutron scattering data. It has been widely available to the user community since about 2005, and it is currently used at the SAXS instruments of selected large-scale facilities as their main data reduction package. It is, however, also suitable for desktop instruments when the manufacturer's software is not available or appropriate. Since it is distributed as source code, it can be scrutinized, verified and modified by users to suit their needs.

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