Master Internship in AI for biological microscopy

id="offer-description" class="ecl-u-type-heading-2 ecl-u-mt-none ecl-u-mb-l">Offer Description The successful candidate will join the OPIS project team under the supervision of team leader Emilie Chouzenoux. The project will be carried out in collaboration with E. Chouzenoux and J.-C. Pesquet (OPIS), C. Lefort (XLIM, CNRS, Limoges), and Limoges University Hospital. The internship will last 5 to 6 months, with considerable flexibility regarding the start date. It is primarily intended for students completing their final-year engineering internship or the second year of a Master’s degree (M2), but applications from engineering students taking a gap year are also welcome. CARS (Coherent Anti-Stokes Raman Scattering) microscopy is an advanced nonlinear optical imaging technique that provides label-free vibrational information about biomedical samples. Broadband laser sources known as “supercontinuum” sources enable the exploration of a wide range of vibrational transitions within the sample. Combined with spectral detection, multiplex CARS (M-CARS) yields hyperspectral images (HM-CARS), in which each pixel contains a 1,024-point spectrum reflecting the chemical composition of the sample. Using this approach, the project partners https://www.multi-opto-diag.fr/khi-malma-piq/ recently demonstrated that the so-called “silent region” of HM-CARS spectra contains information that can help discriminate between samples. The biomedical potential of this information remains largely unexplo