Visual servoing for online facilities

Parvin, Bahram; Taylor, John R.; Callahan, D.E.; Johnston, William; Dahmen, U.

doi:10.1109/2.596629

Cited by 14 publications

(9 citation statements)

References 8 publications

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“…Visual servoing uses information such as object shape change and velocity, obtained by analysis of the video images of the object, to provide the feedback needed for automated control of various microscopic regime instruments. The instruments, in turn, do things like cleaving DNA molecules [4] and controlling the shape of growing micro-crystals [5].…”

Section: Figurementioning

confidence: 99%

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High-speed, wide area, data intensive computing: a ten year retrospective

Johnston

Proceedings. The Seventh International Symposium on High Performance Distributed Computing (Cat. No.98TB100244)

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Section: Figurementioning

confidence: 99%

“…It has already been shown in various collaboratory 3 projects that remote users will gain significant efficiencies through transparent remote access involving widely distributed data intensive computing in almost every case. See, for example, [4], [5], [18], and [19].…”

Section: Ngi: What Comes Next?mentioning

confidence: 99%

High-speed, wide area, data intensive computing: a ten year retrospective

Johnston

Proceedings. The Seventh International Symposium on High Performance Distributed Computing (Cat. No.98TB100244)

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“…Previous systems fall under two categories: telepresence [3,5,7] and collaborative frameworks [6]. Telepresence research has focused on remote functionality of the instrument and the necessary automation for large scale data collection and analysis.…”

Section: Related Workmentioning

confidence: 99%

“…A number of computational components have been integrated to enhance instrument operation and science experiments through high performance computing [5,2]. Two new computational features are included in this paper that address issues in material science as well as cell biology.…”

Section: Computational Servicesmentioning

confidence: 99%

“…The current trend in telepresence research is to bring experts and facilities together from geographically dispersed locations [3,5,10,6]. The natural evolution of this research is to couple declarative representation with object oriented techniques for maximizing reusability and flexibility, increasing abstraction, and reducing maintenance cost.…”

Section: Introductionmentioning

confidence: 99%

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Declarative flow control for distributed instrumentation

Parvin

Fontenay

Taylor

et al.

Proceedings First IEEE/ACM International Symposium on Cluster Computing and the Grid

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We have developed a "microscopy channel" to advertise a unique set of on-line scientific instruments and to let users join a particular session, perform an experiment, collaborate with other users, and collect data for further analysis. The channel is a collaborative problem solving environment (CPSE) that allows for both synchronous and asynchronous collaboration, as well as flow control for enhanced scalability. The flow control is a declarative feature that enhances software functionality at the experimental scale.Our testbed includes several unique electron and optical microscopes with applications ranging from material science to cell biology. We have built a system that leverages current commercial CORBA services, Web Servers, and flow control specifications to meet diverse requirements for microscopy and experimental protocols. In this context, we have defined and enhanced Instrument Services (IS), Exchange Services (ES), Computational Services (CS), and Declarative Services (DS) that sit on top of CORBA and its enabling services (naming, trading, security, and notification) IS provides a layer of abstraction for controlling any type of microscope. ES provides a common set of utilities for information management and transaction. CS provides the analytical capabilities needed for online microscopy. DS provides mechanisms for flow control for improving the dynamic behavior of the system.

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