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BioImage Informatics

National facility

The BioImage Informatics Facility provides support and education in image analysis. We develop computational methods that automatically analyze and understand images of biological processes, using microscopic images as their primary source of information. We draw upon methods from computer vision, machine learning, statistics, and bioinformatics to quantify image data and answer biological questions. We do not primarily analyze data for our users, but rather help users get started with their own analysis. The SciLifeLab BioImage Informatics Facility has two nodes; one in Stockholm, connected to the School of Computer Science and Communication at KTH, and one in Uppsala, at the Centre for Image Analysis, Dept. of Information Technology, Uppsala University.

SERVICES

  • Advice on best-practice and guidance on overall experimental design (staining, sample preparation, and image acquisition) for research involving microscopy imaging and quantitative data analysis.
  • Guidance on image analysis assay development, including image processing algorithm development and software engineering to address challenging project goals.
  • Advice on best-practice and guidance on high throughput/large-scale image processing using computing clusters, including data transfer and storage during the activity of the project.
  • Guidance on large-scale data analysis and visualization

Courses and workshops

Part of our research support is provided in the form of courses, workshops and invited talks at courses related to digital image processing and analysis in life science.

Upcoming courses where we are involved:

  • Methods for Cell Analysis, organized by BioVis in Uppsala March 8-17 and October 4-13, 2017. The course is aimed at postgraduate students, post-docs and research engineers who want to get an overview and in-depth knowledge about the recent technologies in the fields of light microscopy, flow cytometry, electron microscopy and digital image analysis. The course is a mix of lectures and hands-on sessions, including an introduction to image analysis and a hands-on session using the free and open source Cell Profiler software. For more information, see http://www2.medfarm.uu.se/utbildning/forskarniva/for_doktorander/kurs344.html
  • Introduction to Image Analysis Software, organized by BioVis in Uppsala April 24-28 and December 4-8, 2017. The course is aimed at those starting to analyze scientific images or are familiar with it and want an introduction to often used software packages. The course is a mix of lectures and hands-on sessions on software like ImageJ, IMARIS, Huygens and CellProfiler. For more information, see http://www2.medfarm.uu.se/utbildning/forskarniva/for_doktorander/kurs357.html