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Events and workshops

A number of events were planned for the spring 2020 including tutorials, workshops and a larger symposium co-organised with ADMIRE. Unfortunately, due to the current situation the events are postponed but we will soon come back with either new dates or invite to on-line events.


Events spring and summer 2022

March 15, 09.00-13.00 | CIPA Expo 2022 

Correlative Image Processing and Analysis (CIPA) invites you to the first annual CIPA Expo 2022 to be held at Pufendorf. 

The event will include

-presentations from the CIPA coordinator  and application experts as well as from the affiliated application expert for single-particle cryoEM software/hardware at Lund University. 
-presentations about workstations and software available at CIPA
-use case / user story presentations
-tomography and  spectroscopy analysis
-LUNARC resources for image analysis and processing
-the new national Research Infrastructure 'InfraVis' and artificial intelligence for image processing and analysis.

Please sign up using the registration link 
Deadline for registration: 11 March

See the attached programme for details: CIPA EXPO 2022 PROGRAM (PDF, 119 kB, opens in a new tab)


Events spring and summer 2021

June 18  | Workshop - Image analysis beyond borders 

Workshop - Image analysis beyond borders

A workshop about both resources for imaging and analysis, but also for science cases. Stay for the virtual theme session, bring your own questions up for discussion, display a digital poster, or just mingle and hang-around in the virtual meeting space REMO listening to the discussions around different tables and viewing the posters.


For more information visit

June | Mondays with MATLAB - Using MATLAB in an HPC environment

A three series workshop on parallel computing, Machine Learning, and Deep Learning using large compute resources.

With MATLAB and the MATLAB Parallel Server researchers can use the familiar MATLAB environment to run computationally intensive MATLAB programs efficiently on computer clusters. This event will introduce participants who are familiar with the MATLAB environment to the MATLAB Parallel Server and show how to run batch jobs, parallel computations, and provide understanding on the caveats in running in a cluster environment. The event will also show how to use the built-in capabilities for Machine Learning in MATLAB using the MATLAB Parallel Server and show how to do deep learning with MATLAB using modern GPUs on a cluster computer through the MATLAB Parallel Server. 

The seminars will be given from 9.00 to 17.00 on three consecutive Mondays in June 2021

January 13-15 | Amyloid Workshop: User-friendly analysis of spectroscopy data with Quasar - multivariate statistics and machine learning

LINXS, in collaboration with the SMIS beamline at SOLEIL and the Biolab from the University of Ljubljana, is organising a 3-half day hands-on workshop to introduce the QUASAR software, to address the infrared user community's need for a user-friendly and open-source software for data analysis.

This 3-half day hands-on training will be fully digital during January 13-15, 2021.

For more information:

Events fall 2020

November 18 | 13:00 - 17:00| Workshop on vibrational spectroscopic imaging and analysis

CIPA invites researchers in Lund and elsewhere to a virtual workshop on spectroscopic techniques and tools, with primary focus on 2D imaging of complex biological/chemical materials.

Infrared, Raman and optical photothermal infrared spectroscopy will be described for researchers curious about using these techniques at facilities in Lund or elsewhere. Challenges of data processing and analysis will be discussed, with examples of suitable methods and software packages. Users of X-ray spectroscopy are also welcome,especially when applications are complementary to vibrational spectroscopy methods.

Participants will be asked to present how they are currently using spectroscopic imaging methods, and/or describe problems which they plan/wish to address with these methods.

September 30 - October 1 | Workshop | Machine Learning for Segmentation of 3D Structures

This online workshop is hosted by the Centre for Quantification of Imaging Data from MAX IV (QIM) and focuses on segmentation of 3D structures in microscopy images using machine learning.

September 16 - 17 | Workshop | Use MATLAB to compare classical image processing techiques with Machine Learning and Deep Learning alternatives - FULLY BOOKED

Do you want to learn how to efficiently and with high precision extract the relevant pictures or shapes out of large data sets? Then you should sign up for the novel workshop on AI and image analysis!

What: Use MATLAB to compare classical image processing techiques with Machine Learning and Deep Learning alternatives
When: Wednesday 16 September, 13-17 and Thursday 17 September 14-17:15
Where: On-line
Registration: CLOSED, workshop is fully booked.

The workshop for 50 participants will be filled on a first come first served basis so do not wait to register. 30 participants are reserved for the Karolinska Insitute but the 20 additional are open for everyone.  Basic knowledge of MATLAB is a prerequisite. If you have any questions, contact Anders Sjöström, CIPA (anders [dot] sjostrom [at] lunarc [dot] lu [dot] se). Workshop organised by CIPA, KI and the MathWorks.


Human VS SegNET