Internship - Wide gamut color rendering in digital pathology (Kortrijk, BE) en Barco

Barco

Barco designs technology that makes everyday life a little better. Seeing beyond the image, we develop sight, sound, and sharing solutions to help customers work together, share insights, and wow audiences. Healthcare is one of the key markets of Barco. For many years Barco has been contributing to improved healthcare by means of solutions in radiology, mammography, surgery, dermatology, dentistry, pathology etc.

Innovation in healthcare

The Barco Labs Healthcare team is constantly looking for new innovative solutions that push forward the state-of-the-art and can improve healthcare models. This group takes care of the entire innovation cycle: ideation and MVP definition, market evaluation and business case creation, R&D and clinical work for creation of proof of concepts and solutions, market and clinical / regulatory validation of the solutions, business model and business plan creation, up to commercial introduction and early pilot sales.

The task at hand

This internship will focus on exploring the use of Display-P3 as a wide gamut colorspace for displaying images in digital pathology. Specifically, we aim to investigate how this wide gamut color space can be beneficial compared to the standard sRGB color space. The intern will work on identifying relevant examples where tissue pixels require wide gamut color representation and to setup an end-to-end imaging chain assuring correct color rendering using an opensource viewer (slim), leveraging the embedded ICC profile used in digital pathology imaging. As end goal, a demonstrator should be made, clearly illustrating the difference between standard and wide gamut color rendering. Emphasis will be placed on establishing proper research methods, delivering well-structured and documented code, and clear communication of the obtained results. 

Qualifications

• Proficiency in Python and JavaScript programming
• Experience working with version control systems (Git) and containerization (Docker).  
• The following are considered a plus:
  • Proficiency in Python-based image processing (OpenCV, skimage, …) 
  • Proficiency in dealing with image color encoding
• Strong problem-solving and debugging skills.   
• Experience with algorithmic thinking and research methodology.  
• Fluent spoken and written communication in English.  

Furthermore, you should be a student in a technical discipline, eligible to work at our HQ in Kortrijk Belgium.