Measuring cell motility in vivo by SO-FFOCT

université Strasbourg; France; Sur place; EUR 40 000 - 60 000; Temps partiel

Résumé du poste

A public research university in France offers a full-time master internship in Biomedical Optics. The intern will develop a new approach to measure cell motility using full-field OCT. Familiarity with Matlab or Python is preferred. Collaboration with surgical colleagues will enhance clinical relevance of the project. This opportunity is ideal for those looking to dive into innovative research in a supportive environment.

Qualifications

• Initial skills in Matlab or Python programming are preferable.

Responsabilités

• Familiarize the student with algorithms for measuring cell motility in traditional FF-OCT.
• Adapt this approach for in vivo imaging.
• Collaborate with surgeon colleagues to guide the development of a clinical-use-adapted approach.

Connaissances

Matlab or Python programming

Formation

Master's degree

Description du poste

Organisation/Company université Strasbourg Department Télécom Physique Strasbourg Research Field Engineering » Other Researcher Profile First Stage Researcher (R1) Positions Master Positions Country France Application Deadline 5 Jan 2026 - 12:00 (Europe/Paris) Type of Contract Other Type of Contract Extra Information master internship Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No

Offer Description

The IPP team of the ICube laboratory, located at the Civil Hospital of Strasbourg, is offering a project on the theme of 'Biomedical Optics.' The goal of the project will be to develop a new approach to measure cell motility (i.e. intracellular movement) using full-field OCT (FF-OCT), compatible with in vivo imaging.

Full-field OCT is an imaging technique that enables 3D microscopy in scattering media, such as biological tissues [1]. One of the most interesting applications of FF-OCT is intraoperative imaging, which allows providing images close to histopathological results in just a few minutes during surgery, without the need to prepare biopsies. This allows to perform diagnosis during surgery, without having to wait for histopathological analyses, whose results are typically available only after the surgery.

FF-OCT, combined with motility contrast, has recently shown excellent results, including a 100% correct diagnosis rate for breast cancer reported in 2020 [2]. However, conventional methods are limited to ex vivo samples, restricting their use to freshly excise biopsies performed during surgery.

To overcome these limitations, our team has developed a new approach of FF-OCT, enabling the reconstruction of a FF-OCT image from a single interferogram, allowing for in vivo full-field OCT imaging [3]. However, to achieve diagnostic precision equivalent to the one obtained with traditional FF-OCT, a new approach for cell motility contrast compatible with in vivo imaging still needs to be developed.

In practice, the first part of this project will involve familiarizing the student with algorithms for measuring cell motility in traditional FF-OCT. The second part will focus on adapting this approach for in vivo imaging. Additionally, the intern will have the opportunity to collaborate with our surgeon colleagues from the IHU and IRCAD in Strasbourg throughout the project, whose feedback will guide the development of a clinical-use-adapted approach.

Desired skills: To better approach this project, it is preferable that the student has initial skills in Matlab or Python programming.

[1] Dubois, A., Grieve, K., Moneron, G., Lecaque, R., Vabre, L., & Boccara, C. (2004). Ultrahigh-resolution full-field optical coherence tomography. Applied Optics, 43(14), 2874-2883.

[2] Scholler, J., Mandache, D., Mathieu, M. C., Lakhdar, A. B., Darche, M., Monfort, T., ... & Thouvenin, O. (2023). Automatic diagnosis and classification of breast surgical samples with dynamic full-field OCT and machine learning. Journal of Medical Imaging, 10(3), 034504-034504.

[3] Seromenho, E. M., Marmin, A., Facca, S., Bahlouli, N., Perrin, S., & Nahas, A. (2022). Single-shot off-axis full-field optical coherence tomography. Applied Physics Letters, 121(11), 113702.