Digital Pictures: Data Integrity and Display

From to

This course will be organised in the Hijmans van den Berghbuilding. At the moment no courses can be organised in the building because of the corona measures. We hope this will be possible again at May 3rd and 4th when this course is planned. We'll keep you updated.

Course description

The output of scientific experiments often comes in the form of digital images e.g. scans of Western blots and microscopic images. This certainly has a lot of advantages, because digital images can contain spatial information and can be more telling than plain numerical data.

However, images cannot be used ‘raw’ and (often) have to be quantified and also presented well. This however, can go wrong, intentionally or non-intentionally when images are manipulated using computer software in a way that is not in agreement with scientific standards. In this course we will focus on what you can do and what you shouldn’t do to get the best representation of your digital image without altering the actual data. We will also briefly go into some methods of image quantification.

Learning objectives

At the end of the course you will be acquainted with the theory behind digital images. You will be able to apply image processing software and to make a publication quality figure based on vector-based software according to scientific standards.

Instructional method

The course will be given in an interactive way, with time for practicing on assignments. The first day we will go into some theory behind digital images and practice with two different image processing software packages. The second day we will go more into presenting your images in publication quality figures and/or presentations using vector-based software. You have to complete a pre-course assignment to start getting a feeling for working with images. As a final assignment you will hand in a publication quality figure made from images provided at the course.

This course is organised in a room with desktops with the programs Adobe Photoshop and Adobe Illustrator installed. If you would like these programs on your own computer, you can download the programs via your institute, or purchase them via .

Trainer

Dr. Kasper van Gelderen is a postdoc at Utrecht ľ¹Ï¸£ÀûÓ°ÊÓ Plant Ecophysiology and works on plant root development at a physiological, molecular and cell-biological level.

Prerequisite knowledge

This course is intended for PhD candidates in their first two years, or MSc students who have started with their internship, both from the Graduate School of Life Sciences. 

Group size

15 to 30 participants

Number of credits

1.0 EC

Course programme

DayDateStartEnd
Mon3/May/20219:0017:00
Tue4/May/20219:0017:00

Course certificate

You will receive a course certificate after actively participating in both full course sessions.

Course fee

GSLS PhD candidates and Master's students of the GSLS: â‚¬0

Our no-show policy

We are happy to offer courses and workshops for free to all GSLS PhDs. However: free of charge does not mean free of responsibility. Our activities tend to be fully booked well in advance. For every late cancellation or no-show we have had to disappoint others who would have liked to attend. 

This is how we work: 

  • Once you have signed up for a course, we expect you to attend;
  • If you need to cancel your registration, do so at the earliest possible moment, at least four weeks before the start of the course;
  • For this course, you have to attend both full course days.
  • Not meeting the attendance requirements or cancelling within four weeks before the course starts means you will be charged no-show fee (€40 for this course);
  • We are unable to make any exceptions.
Start date and time
End date and time
Location
Utrecht Science Park, Hijmans van den Berghgebouw
Entrance fee
Course fee for PhD candidates and Master's students of the GSLS: €0
Registration

This course is closed for registration.

More information
PhD Course Centre