Who We Are

AOPLab, the Applied Optics and Polarimetry Lab, is a research team at LPICM, CNRS, École polytechnique and Institut Polytechnique de Paris, Palaiseau, France. We bring together expertise in various fields to build new polarimetric measurement systems that can be used in the laboratory as well as in clinical and field environments.

Our studies cover complete and partial imaging Mueller matrix polarimetry, both wide-field and microscopy, spectroscopic ellipsometry and spectroscopic Mueller polarimetry. We work on calibration techniques and surgical imaging instrumentation, simulate various scenarios of polarized light–tissue interaction, and implement image processing and AI-assisted segmentation. We specialize in designing reliable instruments where the hardware, calibration, acquisition strategies and data treatment algorithms are developed together in a coherent way.

Our future research is directed towards the creation of compact and fast intelligent polarimetric systems, including device miniaturization, real-time data processing, development of robust segmentation techniques, and instrument prototypes deployable in clinics and field environments. We aim to make polarimetric imaging easier to use, easier to interpret, and ready for meaningful translation.

A Journey Through Innovation

Tracing the development of our research group (recent milestones first) and its scientific foundations.

Next-generation miniaturized wide-field imaging polarimeter
2026

Next-Generation Wide-Field Imaging Polarimeter

The next-generation wide-field imaging polarimetric system, designed and built at LPICM, combines a new miniaturized hardware design with an AI-based data processing and segmentation pipeline, ensuring near-video-rate streaming of polarimetric images. The system is designed to enable the translation of polarimetric imaging beyond laboratory settings.

2026Funding

PRISMM Hi! PARIS Funding

Hi! PARIS funds our PRISMM project "Polarimetric Real-time Imaging and Simulation using Mueller Matrix Imaging Platform for Neurosurgery" (2026–2028). This work supports the development of an AI-assisted real-time neurosurgical polarimetry workflow.

Hi! PARIS
2026

Plant Polarimetry

The application of wide-field imaging Mueller polarimetry for the assessment of plants' biotic and abiotic stress is becoming a new direction of our research. The measured polarimetric observables, combined with AI-based data post-processing, help read the microstructure of plant leaves and associated stress-linked changes without destructive sampling.

Smart greenhouse, Mueller matrix images and polarimetric maps of a maple leaf
Left: modular smart greenhouse; middle: Mueller matrix images of a maple leaf; right: the corresponding intensity and polarimetric maps (3 cm × 2.5 cm).
2025Funding

OptiSkin and MULTIFUSE ANR Funding

OptiSkin (2025–2029), "Multi-modality and multi-scale optical characterization and modelling of human skin applied to cancer diagnosis" (ANR-24-EXLU-0009), PEPR LUMA, France 2030. MULTIFUSE (2025–2028), "Advanced Multimodal Sensing and Data Fusion for Early Digital Detection of Plant Stress Symptoms", EIG CONCERT-Japan programme.

Agence Nationale de la Recherche (ANR)
PEPR LUMA — France 2030
EIG CONCERT-Japan
2024

First In-Vivo Polarimetric Measurements during Neurosurgery

The team of the HORAO project performed the first feasibility study for end-to-end in-vivo brain tissue classification during brain tumor surgery using the wide-field imaging Mueller polarimeter, thus marking the transition from preclinical to clinical studies.

2024Funding

Institut Polytechnique de Paris Support

Institut Polytechnique de Paris supports the prospective studies on a real-time imaging Mueller polarimetric guidance system for neurosurgery by funding the PhD thesis work of S. Chae (2024–2027).

École polytechnique — Institut Polytechnique de Paris
2024Funding

Campus France Partenariat Hubert Curien (PHC) Support

The PHAETHON Franco-Latvian PHC-OSMOSE project (2024–2025) supported the study on using photon time-of-flight measurements in brain tissues for medical diagnosis.

Campus France
2022

Mathematical Framework for Partial Mueller Polarimetry

Development of the theoretical mathematical framework for extracting the complete set of diagnostic polarimetric maps from partial 3×4 Mueller matrices that can be measured with a polarization-sensitive camera operating at video rate. This enables real-time polarimetric acquisition without measuring the complete 4×4 Mueller matrix, opening the avenue for in vivo intraoperative imaging (T. Novikova, J. C. Ramella-Roman, Opt. Lett. 47(21), 5549–5552 (2022)).

2022Funding

HORAO SNSF Sinergia Grant

The Swiss National Science Foundation awarded the HORAO Sinergia grant (2022–2026) to the international consortium, supporting polarimetric visualization of healthy brain fiber tracts for tumor delineation during neurosurgery. This collaboration brought together optical instrumentation, neurosurgery, neuropathology, and machine learning partners.

Swiss National Science Foundation
2020Funding

VECTOR Project École Polytechnique Funding

École polytechnique supported the VECTOR project (2020–2022), focused on proof-of-concept studies of the visualization of fiber bundles of healthy brain white matter and the delineation of brain tumor borders with wide-field imaging Mueller polarimetry during neurosurgery.

Azimuth of the optical axis map of a formalin-fixed human brain section
Map of the azimuth of the optical axis of a thick section of formalin-fixed human brain (7 cm × 9 cm). Zones A1–A4: U-fibers; zone A5: cortex (no fibers).
2019Funding

Campus France Partenariat Hubert Curien (PHC) Support

POLANNs, a Franco-New Zealand PHC Dumont d'Urville project (2019–2020), supported the development of neural-network-aided polarimetric diagnostics of cervical intraepithelial neoplasia.

Campus France
2019Funding

MUSCAFE Project École Polytechnique Funding

The MUSCAFE project (2019–2020) focused on building a Mueller microscope operating in both elastic scattering and fluorescence modes, in either reflection or transmission geometry, using commuting UV-A and visible light sources for the study of biological tissues.

MUSCAFE Mueller microscope: design and built instrument
2017Funding

BiCPIC Project — Chaire d'Alembert, Université Paris-Saclay Funding

The BiCPIC project "Binary Classification of Polarimetric Images for Cancer Diagnostics" (2017–2018) explored the implementation of the J-optimal Channelized Quadratic Observer for evaluating the detection performance of wide-field imaging Mueller polarimetry for cervical pre-cancer in tissue specimens. This study compared subsets of Mueller matrix data against the complete measurement, providing the mathematical groundwork for today's faster, partial Mueller polarimetry (M. Kupinski et al., Biomed. Opt. Express 9(11), 5691–5702 (2018)).

2013

Physical Interpretation of Polarimetric Image Contrasts

Physical interpretation of experimental Mueller matrix image contrasts between healthy and cancerous human tissues paved the way for tissue optical biopsy. This breakthrough connected polarimetric observables directly to tissue microstructure and pathological status (T. Novikova et al., Appl. Phys. Lett. 102, 241103 (2013)).

2009Funding

MuellerFourier ANR Grant

The ANR-funded MuellerFourier project (2009–2011) explored the potential of using a custom-built back-focal-plane Mueller microscope for overlay measurements in microelectronics, strengthening the lab's position as a leader in Mueller polarimetric instrumentation and optical metrology.

Agence Nationale de la Recherche (ANR)
History of LPICM Polarimetry
Tissue specimen imaged with wide-field imaging polarimetry
2006

Development of Wide-Field Imaging Polarimetry

Moving from spectroscopic liquid-crystal-based Mueller polarimetry to multi-spectral liquid-crystal-based wide-field imaging Mueller polarimetry enabled the creation of spatial maps of the polarimetric properties of a sample. This opened the possibility of diagnostic characterization of complex tissue samples for various biomedical applications.

2003

Monte Carlo Model for Polarized Light Propagation through Anisotropic Scattering Media

Generalization of the polarized Monte Carlo simulation technique to model the propagation of polarized light through anisotropic scattering biological tissues enabled the quantitative modelling of Mueller matrix images and derived polarimetric parameters of biological tissue. This provided the theoretical foundation for interpreting polarimetric contrast in structured media such as the white matter of the brain.

Grating structures used for critical-dimension metrology
2003

Mueller Polarimetry for Metrology in Microelectronics

The development of a spectroscopic liquid-crystal-based Mueller polarimeter, combined with an in-house algorithm for solving the inverse problem of Mueller polarimetry, gave rise to metrological applications in microelectronics, including the estimation of critical dimensions and overlay metrology, opening an avenue for fast, non-destructive characterization of metrological structures with better accuracy than the standard scatterometry approach. The instrument design was commercialized by Horiba Jobin Yvon; several hundred instruments were sold worldwide.

1999

Eigenvalue Calibration Method

LPICM members E. Compain, S. Poirier, and B. Drévillon published the seminal paper "General and self-consistent method for the calibration of polarization modulators, polarimeters, and Mueller-matrix ellipsometers" in Applied Optics 38(16), 3490–3502 (1999). Since then, the eigenvalue calibration method has become the gold standard for calibrating complete Mueller polarimetric instruments.

UVISEL phase-modulated spectroscopic ellipsometer
1989

UVISEL Phase-Modulated Spectroscopic Ellipsometer

The phase-modulated spectroscopic ellipsometer UVISEL traces its origins to LPICM, where the underlying technology was developed and subsequently licensed to Jobin Yvon for commercialization. It is one of the LPICM-born polarimetric instruments that have gone on to become industry-standard tools in optical metrology worldwide.