Award for Data Analysis in Imaging

For outstanding scientific achievements applying microscopy in the field of data analysis in imaging.

Winners receive complimentary registration to a relevant RMS meeting where they will be presented with their award. They may be invited to produce an article for infocus magazine

2023 Joint Winners

Peter Bankhead.jpg

Dr Peter Bankhead, Reader, University of Edinburgh, UK

Pete is best known for his creation and development of the software QuPath. In the crowded scene of bioimage analysis software, QuPath stands out as a fundamental cornerstone. Though initially designed as a tool for quantitative pathology, it is being widely used in many microscopy areas due to its versatility and capabilities to handle large imaging data. 

QuPath is special because it is open-source and is also developed to an exceptionally professional standard. It makes the exploration and analysis of extremely large images effortless, boasting a google maps style zoom functionality. It is also highly versatile with many forms of analysis, utilising the best of signal processing, machine learning, and data visualisation techniques. In addition, Pete has written a book on bioimage analysis, and developed many online resources for QuPath.

Pete deserves special praise for his work developing QuPath – which really does stand out as an exceptional piece of analysis software. He has been quietly contributing to bioimage analysis for many years at an exceptional standard without being formally recognised, and is thoroughly deserving of this award.

Robert Haase.jpg

Dr Robert Haase, Group Leader, Bio-image Analysis Technology Development Group, DFG Cluster of Excellence “Physics of Life”, TU Dresden, Germany

Robert is an extremely active member of the computational image analysis community. His contributions to the DAIM community are vast, including software development, public engagement through his popular YouTube channel, and an incredible input to the forum.

In the last few years Robert has brought GPU processing to ImageJ / Fiji with Clij, Clij2 and ClijX plugins. This has brought huge speed improvements to many image analysis workflows. Together with his collaborators, he is expanding GPU processing to multi language support with clEsperanto – providing a common language to bring together programmers from different backgrounds.

Meanwhile Robert’s presence on is immense. He has replied more than 2,500 times to user posts and is among the ‘most appreciated’ members of the community.

Robert’s you tube channel, developed during the covid pandemic, is also a fantastic community resource. More than 2,000 subscribers have benefitted from his comprehensive and accessible lecture series on Fiji, general Bio Image Analysis, and Clij and Clesperanto.

Robert has become a hugely well-known and respected figure within the image analysis community. Through his achievements as a software developer, and commitment to sharing his knowledge with others, he has made a unique impact.


  • All awards are open to applicants worldwide.
  • The award will normally be made to nominees who have engaged in independent research for less than 10 years. 

How to submit a nomination:

  • Applicants may self-nominate or be nominated by a colleague or collaborator.
  • Applications and nominations should be submitted to Jade Sturdy.
  • Applicants should submit a curriculum vitae and a letter stating which section award they wish to be considered for.
  • Nominators should submit a curriculum vitae for the nominated candidate and a statement (maximum length 1 page) outlining the merits of the candidate and their suitability for the specific award (please note - if you wish to nominate someone without notifying them of the nomination, a shorter CV i.e. a bio from LinkedIn will be accepted).
  • Nominated candidates will be contacted after the closing date to confirm that they are happy for their nomination to be considered.
  • In each case the relevant science section will consider applications.