Junior R&D Engineer in Optical Instrumentation

Instrumentation for image-guided neurosurgery

Keywords Optical instrumentation, medical imaging, fluorescence-guided surgery.

Background Our group is particularly interested in developing computational imaging systems that combine advances in hardware and software [1, 2]. In particular, compressive imaging is a paradigm that enables two-dimensional imaging from a  point detector. It leads to high-performance optical imaging
systems (e.g., hyperspectral and/or time-of-flight measurements) at very low cost, raising interest in
academia and industry [3, 4].

Project We aim to develop a fast compressive camera for fluorescence-guided neurosurgery. Fluorescence-guided surgery is an imaging technique that helps surgeons to perform safer and less invasive surgery. While quantitative
uorescence imaging requires to exploit the full spectrum, there are no traditional hyperspectral cameras with sucient spectral resolution. The Project consists in improving a prototype available in our laboratory and connecting it to the surgical microscope used in the operation room. It includes designing optomechanical parts, controlling the instrumentation in Labview or Python, performing campaigns of measurements in our lab and at the hospital, reporting results and participating to research meetings.

Context The successful candidate will work in a research environment in close collaboration with a PhD student, two researchers in biomedical optics and image processing, and a neurosurgeon.

Skills We are looking for an enthusiastic and autonomous candidate who can develop optical instrumentation. The applicant must hold a master's degree or engineer's degree in physics or electrical engineering with a specialization in optics or photonics and have a strong interest in medical imaging. Strong programming skills in Labview and Python are required. Knowledge of signal processing and/or machine learning is a bonus.

How to apply? Send CV, motivation letter, and academic records to nicolas.ducros@creatis.insa-lyon.fr, bruno.montcel@creatis.insa-lyon.fr, and peyrin@esrf.fr.

Salary Salary depends on experience and is negotiable

References

[1] F. Rousset, N. Ducros, F. Peyrin, G. Valentini, C. D'Andrea, and A. Farina, "Time-resolved multi-spectral imaging based on an adaptive single-pixel camera," Opt. Express, vol. 26, pp. 10550--10558, Apr 2018.

[2] https://www.creatis.insa-lyon.fr/~ducros/WebPage/single_pixel_imaging.html.

[3] F. Rousset, N. Ducros, and F. Peyrin, \Camera mono-pixel." French Patent 1751515, 2017.

[4] X. Miao and B. Amirparviz, \Single pixel camera." Google LLC, US Patent US9071739B2, 2015.