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CIPA

Correlative Image Processing and Analysis
CIPA aims to reduce the gap between the amount of acquired and consequently analysed images, e.g., advanced imaging today generates vast amount of data and it is a necessity to segment out scientifically relevant information for further analysis. The currently available instruments for imaging on the microscopy scale show clear trends towards multimodal and multiscale studies of dynamic systems. The output of such experiments is complex three- or four-dimensional arrays of images. Strengthening both the design of appropriate experiments to answer the scientific questions and the retrieval of quantitative information from the images, will strongly increase the quality of the scientific outcome, creating value for both society, industry, and financiers of existing imaging facilities.
CIPA is financially supported directly by an infrastructure grant from Lund University central level.

The infrastructure for correlative image processing and analysis (CIPA) allows scientists to extract the scientifically valuable and relevant information from the huge amount of data generated with different techniques and instruments including from synchrotron beam lines. CIPA provides access to on-site application expertise and tools and aims to establish and further provide researchers with standardized and user-friendly tools and systems for remote access as well as analysis of data.CIPA will together with the center for Quantification of Imaging data from MAX IV (QIM), http://qim.compute.dtu.dk, be essential resources to handle the huge data sets from our large scale facilities.

CIPA provides access to on-site application expertise and tools but will also establish and further provide researchers with standardized and user-friendly tools and systems for remote access as well as analysis of data. We foresee that the need for image analysis and processing, including both image correlation and 3D reconstruction of complex data on its own, will continue to grow rapidly because imaging generates increasingly large and complex data sets and the integration of multiple imaging modalities are becoming necessities in science today.

SNIC https://www.snic.se has an important role in providing the platform for providing storage, computing and visualization for this infrastructure, and other structures with developed tools and techniques for fast secure data transfer and remote visualization will provide key technologies for an imaging end-to-end workflow. The tools provide an enhanced imaging workflow from initial data acquisition to storage, compute and hardware accelerated visualization from any location.

CIPA is dedicated to service and aims to provide 

  1. high performance workflows and method development, 
  2. guidance and tutorial to software, 
  3. collection and administration of image analysis and processing licenses. 

 

Page Manager:

Contacts for CIPA

Kajsa M. Paulsson:
kajsa_m [dot] paulsson [at] med [dot] lu [dot] se

Jonas Ahlstedt:
jonas [dot] ahlstedt [at] med [dot] lu [dot] se

Anders Sjöström:
anders [dot] sjostrom [at] lunarc [dot] lu [dot] se

Carl Troein
carl [at] thep [dot] lu [dot] se