ZOO: an automatic data-collection system for high-throughput structure analysis in protein microcrystallography

Owing to the development of brilliant microfocus beamlines, rapid-readout detectors and sample changers, protein microcrystallography is rapidly becoming a popular technique for accessing structural information from complex biological samples. However, the method is time-consuming and labor-intensive and requires technical expertise to obtain high-resolution protein crystal structures. At SPring-8, an automated data-collection system named ZOO has been developed. This system enables faster data collection, facilitates advanced data-collection and data-processing techniques, and permits the collection of higher quality data. In this paper, the key features of the functionality put in place on the SPring-8 microbeam beamline BL32XU are described and the major advantages of this system are outlined. The ZOO system will be a major driving force in the evolution of the macromolecular crystallography beamlines at SPring-8.

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Automatic Data Collection System for Structural Health Monitoring

Maintenance, Safety, Risk, Management and Life-Cycle Performance of Bridges ◽

10.1201/9781315189390-223 ◽

2018 ◽

pp. 1635-1641

Author(s):

Akito Yabe ◽

Tetsuya Iye ◽

Ayaho Miyamoto

Keyword(s):

Structural Health Monitoring ◽

Data Collection ◽

Health Monitoring ◽

Collection System ◽

Automatic Data ◽

Data Collection System ◽

Structural Health ◽

Automatic Data Collection

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Automatic data collection system for innovative long term bridge health monitoring based on public bus vibration

Life-Cycle of Civil Engineering Systems - Life-Cycle of Structural Systems ◽

10.1201/b17618-318 ◽

2014 ◽

pp. 2137-2144

Author(s):

A Yabe ◽

A Miyamoto

Keyword(s):

Data Collection ◽

Health Monitoring ◽

Collection System ◽

Automatic Data ◽

Data Collection System ◽

Bridge Health Monitoring ◽

Automatic Data Collection

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Bus Passenger Origin-Destination Matrix Estimation Using Available Information from Automatic Data Collection Systems in Chongqing, China

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.779-780.878 ◽

2013 ◽

Vol 779-780 ◽

pp. 878-889

Author(s):

Su Ping Chen ◽

Dai Zong Liu

Keyword(s):

Data Collection ◽

Gps Data ◽

Collection System ◽

Automated Data Collection ◽

Automatic Data ◽

Matrix Estimation ◽

Bus Stop ◽

Automatic Data Collection ◽

Available Information

This research explores the application of available information from Automated Data Collection Systems (ADC) with a focus on bus passenger Origin-Destination (OD) matrices inference, using Chongqing as a case study. It demonstrates the feasibility and ease of applying to infer bus passengers boarding and alighting locations if boarding information is available from neither Automatic Fare Collection System (AFC) nor GPS data, and is the first known attempt to create an algorism to use stop Geographic Information System (GIS) and dual-direction bus stop group to estimate the boarding location and traveling direction when GPS data cannot provide the arriving information at bus stops. The results of this research have been practically applied to a full-size bus network in Chongqing, and can be easily implemented to other Chinese cities as Chongqing presents most popular data structure of ADC in China.

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