Missions

Histology is commonly practiced in hospitals and consists of taking a small sample of tissue (biopsy) which is sliced and stained to be finally observed by a specialist allowing him to make a diagnosis on its cancerous nature. This process is long (1h-24h) and prevents the optimal management of patients during surgery or endoscopic exploration. This research project aims at developing a completely new optical technology that allows instantaneous three-dimensional histological imaging of biopsies without the use of any label or preparation. The proposed approach uses wide-field coherent Raman imaging using random illumination (speckle) and reconstruction algorithms to reconstruct a three-dimensional image of the chemical bonds present in the sample, without any labeling or preparation. This approach closely links the latest technological innovations in terms of laser, microscopy and low noise optical detection with advanced digital reconstruction methods developed.
The proposed work is related to the recently published paper [1,2] by the Mosaic group at the Fresnel Institute that demonstrate numerically coherent Raman ptychography and tomography. The goal of this Postdoctoral research program is to implement these ideas experimentally and to apply them to 3D histology of ex-vivo tissues.

[1] S. Heuke, H. Rigneault, and A. Sentenac, "3D-coherent anti-Stokes Raman scattering Fourier ptychography tomography (CARS-FPT)," Optics Express 29, 4230-4239 (2021).
https://doi.org/10.1364/OE.416290
[2] S. Heuke, K. Unger, S. Khadir, K. Belkebir, P. C. Chaumet, H. Rigneault, and A. Sentenac, "Coherent anti-Stokes Raman Fourier ptychography," Opt. Express 27, 23497-23514 (2019).
https://doi.org/10.1364/OE.27.023497

Activités

The work will focus on 3 objectives:
1- Developing the multimodal wide-field nonlinear optical microscopy platform using speckle field illumination and enabling hyperspectral CARS imaging
2- Identify the main biomarkers of ex-vivo central nervous system (CNS) samples.
3- Developing an automatic classifier for CNS tumors

Compétences

The applicant will have skills and strong interest in:
- Experimental optics and opto-electronics
- Laser and laser physics
- computational methods to solve inverse problems.
- Biophotonics
- Medical imaging
An experience in coherent Raman imaging and image/spectral processing will be appreciated

Contexte de travail

This research project will develop in the framework of the ERC project Speckle CARS (https://www.insis.cnrs.fr/fr/personne/herve-rigneault-0).

Le poste se situe dans un secteur relevant de la protection du potentiel scientifique et technique (PPST), et nécessite donc, conformément à la réglementation, que votre arrivée soit autorisée par l'autorité compétente du MESR.

Contraintes et risques

Laser risk