Feature analysis using ImageJ – What to do with your data?

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A short course in the analysis and quantification of 2D and 3D images of porous media/particles.

A 4-day introductory workshop will provide participants with an understanding of up to date practices and methodologies used.

Course content 

The primary focus will be centred around image analysis through a series of interactive lectures and practical sessions using the participant’s own data concerning computation of morphological parameters (porosity, tortuosity, connectivity, surfaces and others).

The course will end with a hackathon and will draw on all the key areas delivered throughout the week.

The course will address key areas of data collection, data use and data management, with an emphasis on data mining, statistics and programming.

Aims:

By the end of this course the participants will be able to:

  • handle large volumes of data using appropriate software (data management)
  • use data mining skills in their area of research
  • identify the correct tools to carry out image processing and analysis
  • use basic macros for programming
  • apply statistical techniques to their data.

 

Dates and times

A four-day course:

22-25 Jan 2018

Daily:  9.30-17.00

Closing date: 15 November 2017

Places available: 15

How to apply

The course is available to science researchers and PhD students. There are 15 spaces available, and priority will be given to those with NERC funding.

Download and complete the application form (Word 27KB) and return it to the address listed on the form by 15 November 2017.

Applicants will be contacted after the closing date and notified whether a place has been allocated.

Contact us

For more information about course content please contact Farah Ahmed.

For administrative questions (e.g. travel, accommodation) please contact Laura Miles.

Funded by