論文

2010年

Fully Automated Data Collection Using PAM and the Development of PAM/SPACE Reversible Cassettes

SRI 2009: THE 10TH INTERNATIONAL CONFERENCE ON SYNCHROTRON RADIATION INSTRUMENTATION
  • Masahiko Hiraki
  • Shokei Watanabe
  • Leonard M. G. Chavas
  • Yusuke Yamada
  • Naohiro Matsugaki
  • Noriyuki Igarashi
  • Soichi Wakatsuki
  • Masahiro Fujihashi
  • Kunio Miki
  • Seiki Baba
  • Go Ueno
  • Masaki Yamamoto
  • Mamoru Suzuki
  • Atsushi Nakagawa
  • Nobuhisa Watanabe
  • Isao Tanaka
  • 全て表示

1234
開始ページ
673
終了ページ
+
記述言語
英語
掲載種別
研究論文(国際会議プロシーディングス)
DOI
10.1063/1.3463297
出版者・発行元
AMER INST PHYSICS

To remotely control and automatically collect data in high-throughput X-ray data collection experiments, the Structural Biology Research Center at the Photon Factory (PF) developed and installed sample exchange robots PAM (PF Automated Mounting system) at PF macromolecular crystallography beamlines; BL-5A, BL-17A, AR-NW12A and AR-NE3A. We developed and installed software that manages the flow of the automated X-ray experiments; sample exchanges, loop-centering and X-ray diffraction data collection. The fully automated data collection function has been available since February 2009. To identify sample cassettes, PAM employs a two-dimensional bar code reader. New beamlines, BL-1A at the Photon Factory and BL32XU at SPring-8, are currently under construction as part of Targeted Proteins Research Program (TPRP) by the Ministry of Education, Culture, Sports, Science and Technology of Japan. However, different robots, PAM and SPACE (SPring-8 Precise Automatic Cryo-sample Exchanger), will be installed at BL-1A and BL32XU, respectively. For the convenience of the users of both facilities, pins and cassettes for PAM and SPACE are developed as part of the TPRP.

リンク情報
DOI
https://doi.org/10.1063/1.3463297
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000283705500151&DestApp=WOS_CPL
ID情報
  • DOI : 10.1063/1.3463297
  • ISSN : 0094-243X
  • Web of Science ID : WOS:000283705500151

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