Location & dates EMBL Heidelberg, Germany 6 - 8 Dec 2018
Deadlines Registration closed Abstract submission closed

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Pre-Conference Workshop by Acquifer

Date:  Thursday, 6 December 2018, from 11:40 to 12:30
Venue: EMBL Advanced Training Centre, Seminar room Helix B

The ACQUIFER HIVE: A Modular Computing Platform for Large Image Data Handling, Storage, Analysis and Visualization

Speaker: Olaf Selchow

Biomedical research laboratories are equipped with ever more capable imaging systems. This is dramatically increasing volumes of imaging data and provokes a severe challenge with respect to efficiently and consistently analyzing these datasets.


In addition to the need for new software tools to analyze biological image data, new strategies for handling, processing, storing and ultimately archiving these datasets are needed. Furthermore, an increasingly collaborative and globally distributed research community calls for reliable tools for remote data access and data sharing.


In this workshop, we present the HIVE, the modular computing platform for handling, storage, processing, visualization and analysis of large (multi-Terabyte sized) image datasets.


The HIVE has been developed to integrate data safety with ease-of-use into a scalable high-performance computing framework. It provides a digital data hub with easy remote access to server-side processing, which can replace or augment multiple acquisition, processing and storage devices.


The HIVE is designed to enable simultaneous connections of multiple microscopes for rapid acquisition of data, and to provide direct remote access to the data for processing and analysis through multi-user remote access. This relieves pressure on institutional networking infrastructure, makes microscopy platforms more stable and more efficient. It allows to get the users and the analysis to the data – and not the other way around. Thus, the HIVE brings you one step closer to exploit the full potential of your imaging equipment.


HIVE’s are compatible with commonly used open source and commercial processing, visualization and analysis software. Any network-enabled device (OS-independent) can be connected to the HIVE.


In this workshop, we will demonstrate the flexibility of the HIVE for handling and analyzing various image-based datasets. We will present how to connect microscopes and stream data to the HIVE, how to remotely access the data, how to set up a HIVE network and we will show image processing examples as well as rendering and analysis of Terabyte-sized image datasets.