Considerations for computerized in situ data collection platforms

In situ microplates are small in size, crystal cultivation and operation are difficult, and the efficiency of crystal screening is relatively low. To solve this problem, a novel combined crystallization plate was designed for high-throughput crystal cultivation and in situ data collection. A frame was used to hold 48 in situ microplates, and the in situ microplates were sealed on one side with an ultralow background-scattering Kapton film. An automatic liquid handler (Mosquito) was used to add a liquid drop to the in situ microplates in the frame, and CrystalClear HD tape was used to seal the frame. A sealed frame holding 48 microplates was developed as a novel combined crystallization plate and was used for crystal cultivation under different conditions and in situ data collection at the synchrotron beamline. Moreover, individual microplates can be separated from the combined crystal plate and then fixed on a magnetic base or loaded onto a UniPuck for in situ data collection. Automatic grid scanning was used to locate crystals. The efficiency of the combined crystallization plate for crystal screening was verified. This method avoids the manual manipulation of crystals during crystal screening and diffraction data collection; therefore, the combined crystallization plate is suitable for large-scale screening of microcrystals.

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IN-SITU DATA COLLECTION/MONITORING FOR MODELING THE FINAL SETTLING TANK (FSTs) AT WARDS ISLAND WPCP-BATTERY “E”

Proceedings of the Water Environment Federation ◽

10.2175/193864707787976821 ◽

2007 ◽

Vol 2007 (2) ◽

pp. 311-336

Author(s):

Krish Ramalingam ◽

John Fillos ◽

Allen Deur ◽

Keith Beckmann

Keyword(s):

Data Collection ◽

Settling Tank ◽

In Situ Data

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ESRF/DBT/EMBL:BM14-2: MX station for in situ, dehydration and MAD experiments

Acta Crystallographica Section A Foundations and Advances ◽

10.1107/s2053273314096764 ◽

2014 ◽

Vol 70 (a1) ◽

pp. C323-C323

Author(s):

Babu Manjasetty ◽

Akim Khadrouche ◽

Bernard Lavault ◽

Franck Felissaz ◽

Trevor Mairs ◽

...

Keyword(s):

Data Collection ◽

High Energy ◽

Control Device ◽

In Situ Data ◽

Multiple Wavelength ◽

Concomitant Reduction ◽

Diffraction Patterns ◽

To Come ◽

Novel Devices

BM14 was the first dedicated macromolecular crystallography (MX) beamline to come into operation at the ESRF during 1995. This experimental station has been designed specifically to produce MX diffraction data using Single/Multiple-wavelength Anomalous Diffraction (SAD/MAD) methods (www.bm14.eu). Currently, beamline is operated by a consortium between the ESRF, the EMBL-Grenoble and the Department of Biotechnology (DBT), India. Recently, the beamline optics was fully upgraded (hence the new denomination BM14-2). A four-time increase in beam brilliance is achieved with the concomitant reduction in average exposure time (~5s today versus 20s before), leading to a substantial gain in the screening capacity. Upgrade includes a new channel-cut crystal equipped with a second crystal pusher to reject high-energy harmonics. The latter device turned to be crucial for Sulphur-SAD experiment success rate. The special goniometer head is installed on microdiffractometer (MD2) goniometer which is capable of handling the CrystalDirect (CD) nanocrystallisation plates [1] so that any crystallisation hit can be exposed to the beam. The plate characteristics are optimal for in situ data collection and they produce diffraction patterns with significantly reduced background. A newly designed dehydration-to-cryogenic nozzle-changer device is also installed in order to avoid the down time between the experiments (such as, In situ screening, humidity control device (HC1), standard cryogenic data collection). European users may apply for access via the Biostruct-X program (www.biostruct-x.eu) both for CD plate nanocrystallisation trials and for beamtime. Users from India are encouraged to apply from DBT-Portal (http://process.mbu.iisc.ernet.in/BM14/index.jsp) for beamtime. The optics hutch refurbishment and implementation of the novel devices in the experimental hutch opens promising perspectives for collecting data at room temperature and that are of importance to the MX users.

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Collaborative Environmental In Situ Data Collection: Experiences and Opportunities for Ambient Data Integration

On the Move to Meaningful Internet Systems: OTM 2010 Workshops - Lecture Notes in Computer Science ◽

10.1007/978-3-642-16961-8_27 ◽

2010 ◽

pp. 119-119

Author(s):

David Thau

Keyword(s):

Data Collection ◽

Data Integration ◽

In Situ Data ◽

Ambient Data

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Meet your Users in Situ Data Collection from within Apps in Large-Scale Deployments

International Journal of Handheld Computing Research ◽

10.4018/ijhcr.2015070102 ◽

2015 ◽

Vol 6 (3) ◽

pp. 17-32 ◽

Cited By ~ 1

Author(s):

Nikolaos Batalas ◽

Javier Quevedo-Fernandez ◽

Jean-Bernard Martens ◽

Panos Markopoulos

Keyword(s):

Data Collection ◽

Large Scale ◽

Creative Design ◽

Research Perspective ◽

Software Application ◽

In Situ Data ◽

Research Perspectives ◽

In The Wild ◽

Design Representations

Increasingly, ‘app-store' releases of software are used as a vehicle for large-scale user trials ‘in the wild'. Several opportunities and methodological challenges arise from having little or no access to users, other than through the application itself. So far, researchers have needed to hardcode survey items into the software application studied, which is laborious and error prone. This paper discusses how these problems are addressed using TEMPEST, a platform for longitudinal in situ data collection. The authors illustrate the use of TEMPEST to study the deployment and real-world use of a tablet application called idAnimate; this application has been designed to support the creation of simple animations as design representations during the creative design process. The authors discuss how the tool has supported the gathering of data in over 4000 installations, both from a development and research perspective, and relate their experiences to current research perspectives on large-scale app trials.

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