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Institution

Agilent Technologies

CompanySanta Clara, California, United States
About: Agilent Technologies is a company organization based out in Santa Clara, California, United States. It is known for research contribution in the topics: Signal & Mass spectrometry. The organization has 7398 authors who have published 11518 publications receiving 262410 citations. The organization is also known as: Agilent Technologies, Inc..


Papers
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Patent
12 Dec 2000
TL;DR: In this article, a digital controller is integrated into the laser driver and is utilized to initially program and selectively adjust during the operation of the driver one or more of the following VCSEL drive waveform parameters: bias current, modulation current, negative peaking depth, and negative peak duration.
Abstract: A laser driver for generating drive waveforms that are suitable for driving a single VCSEL or an array of VCSELs. A digital controller is integrated into the laser driver and is utilized to initially program and selectively adjust during the operation of the driver one or more of the following VCSEL drive waveform parameters: (1) bias current, (2) modulation current, (3) negative peaking depth, and (4) negative peaking duration. The laser driver has an aging compensation mechanism for monitoring the age of the laser and for selectively adjusting the dc and ac parameters of the VCSEL drive waveform to compensate for the aging of the laser. The laser driver also has a temperature compensation mechanism for monitoring the temperature of the driver IC and selectively adjusting the dc and ac parameters of the VCSEL drive waveform to compensate for the changes in temperature.

61 citations

Journal ArticleDOI
TL;DR: This study utilised a 22,575 feature custom oligonucleotide DNA microarray designed from public domain databases of schistosome-expressed sequence tags to explore differential gene expression between the Philippine and Chinese strains of S. japonicum, and found that 593, 664 and 426 probes were differentially expressed between the two geographical strains.

61 citations

Patent
30 Jul 1999
TL;DR: In this paper, a barrier for preventing water or oxygen from a source thereof from reaching a device that is sensitive to water and oxygen is constructed by depositing a first polymer layer[191] between the device and the source.
Abstract: A barrier for preventing water or oxygen from a source thereof from reaching a device that is sensitive to water or oxygen. The barrier is constructed by depositing a first polymer layer[191] between the device and the source. An inorganic layer[192] is deposited on the first polymer layer[191] the device by plasma enhanced chemical vapor deposition utilizing an electron cyclotron resonance source ECR-PECVD. A second polymer layer[193] is then deposited on the inorganic layer[192]. The inorganic layer[192] is preferably an oxide or nitride. A second barrier layer[201] having a compound that absorbs oxygen or water can be placed between the inorganic layer[192] and the device to further retard the passage of oxygen or water. The present invention is particularly useful in encapsulating electroluminescent displays[100, 203].

61 citations

Journal ArticleDOI
TL;DR: A new data image format called `Esperanto' is introduced that is supported by the commercial software package CrysAlis(Pro) (Agilent Technologies UK Ltd) and acts as a vehicle to transform the most common area-detector data formats via a translator software.
Abstract: Fast detectors employed at third-generation synchrotrons have reduced collection times significantly and require the optimization of commercial as well as customized software packages for data reduction and analysis. In this paper a procedure to collect, process and analyze single-crystal data sets collected at high pressure at the Extreme Conditions beamline (P02.2) at PETRA III, DESY, is presented. A new data image format called `Esperanto' is introduced that is supported by the commercial software package CrysAlisPro (Agilent Technologies UK Ltd). The new format acts as a vehicle to transform the most common area-detector data formats via a translator software. Such a conversion tool has been developed and converts tiff data collected on a Perkin Elmer detector, as well as data collected on a MAR345/555, to be imported into the CrysAlisPro software. In order to demonstrate the validity of the new approach, a complete structure refinement of boron-mullite (Al5BO9) collected at a pressure of 19.4 (2) GPa is presented. Details pertaining to the data collections and refinements of B-mullite are presented.

61 citations

Journal ArticleDOI
TL;DR: A reusable HPLC nanoflow rate chip using TiO 2 particles for selective phosphopeptide enrichment is developed, which proved robust, easy to use, and was capable of consistent performance over tens of analyses including minute amounts of complex cellular lysates.
Abstract: Protein phosphorylation may be the most widespread and possibly most important post-translational modification (PTM). Considering such a claim, it should be no surprise that huge efforts have been made to improve methods to allow comprehensive study of cellular phosphorylation events. Nevertheless, comprehensive identification of sites of protein phosphorylation is still a challenge, best left to experienced proteomics experts. Recent advances in HPLC chip manufacturing have created an environment to allow automation of popular techniques in the bioanalytical world. One such tool that would benefit from the increased ease and confidence brought by automated 'nanoflow' analysis is phosphopeptide enrichment. To this end, we have developed a reusable HPLC nanoflow rate chip using TiO 2 particles for selective phosphopeptide enrichment. Such a design proved robust, easy to use, and was capable of consistent performance over tens of analyses including minute amounts of complex cellular lysates.

61 citations


Authors

Showing all 7402 results

NameH-indexPapersCitations
Hongjie Dai197570182579
Zhuang Liu14953587662
Jie Liu131153168891
Thomas Quertermous10340552437
John E. Bowers102176749290
Roy G. Gordon8944931058
Masaru Tomita7667740415
Stuart Lindsay7434722224
Ron Shamir7431923670
W. Richard McCombie7114464155
Tomoyoshi Soga7139221209
Michael R. Krames6532118448
Shabaz Mohammed6418817254
Geert Leus6260919492
Giuseppe Gigli6154115159
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20231
20228
2021142
2020157
2019168
2018164