Unconventional optical imaging: combining optics-photonics with numeral computing to transcend limits

The field of optical imaging embraces non-invasive imaging techniques using light located on the ultraviolet, visible and infrared bands of the electromagnetic spectrum in order to obtain images of the observed scene or sample. These observed elements are represented through colorimetric greyscale or colour images.

Unconventional imaging enables the access to physical quantity measurements (phase of the sensed light, absorption, refractive index of the sample, polarisation of the illumination wave induced by the observed scene or sample, chemical composition of an object, interaction energy) which are not accessible to conventional measurement systems. Unconventional imaging devices do not directly deliver images, but instead, they rely on specific setups and digital processing of stored data in order to reconstitute an image of the desired physical quantity measurements. This field is also known as computational imaging or quantitative imaging.

Our innovative developments are very active in the field of optical microscopy, especially in the conduction of research on this area at IRIMAS (holographic microscopy, diffraction tomography imaging), ICube (phase imaging, microsphere-assisted microscopy, local spectroscopy, photonic jet imaging, polarisation imaging) and L2n (Light, nanomaterials and nanotechnologies) (quantitative imaging of cell adhesion).

Our activity also covers the fields of machine vision and quality control, with monocular and Light-Field cameras, with unique innovations in “Light-Field-based deflectometry”, and in robot navigation by camera (visual odometry and trajectory reconstruction via monocular vision). See also the innovation pages.

Example of multimodal reconstructions (index, dark field, Rheinberg illumination, and differential interference contrast microscopy) based on tomography data. ©IRIMAS
Multicore fibre with 37 microlenses for photonic jet imaging (patented). ©ICube
Example of variable-angle TIRF measurement of the plasma membrane from a live cell (U87MG) during the adhesion process on a fibronectin layer. Left to right: TIRF image, image of the height between the surface of the substrate and the cell membrane, image of the effective index, image of areas where the cell-substrate energy interaction level is high. ©L2n

Other applications

Imagerie non-conventionnelle

Example of 3D reconstruction of a complex piece by camera-based vision.

 

Studies in unconventional imaging also find a use in industrial applications. Nowadays, the utilisation of new acquisition modality cameras (event camera, light field cameras) is spreading, with applications in quality control for instance. Robotic imaging specifically allows for effective 3D reconstruction of pieces (IRIMAS – Holo3 partnership). Multidimensional imaging, which includes several modalities (light field and polarimetry for instance) paired with artificial intelligence enables to detect and categorise flaws with high precision.

Raman spectroscopy and sensors

Contexte

Nowadays, the capacity to manage and process multiple data sources to analyse, control and assist in decision making, justifies the use of complex sensors which enables in-real-time acquisition of a great quantity of information, for environmental measures or industrial process control for instance.

Optical sensors, and more specifically spectroscopy-based sensors, enable the in situ in-real-time monitoring of solid, liquid or gaseous materials. The recent technological developments in integrated optics make possible the elaboration of new optical sensors based on Raman scattering.

spectroscopie Raman

Description

The innovation consists in using a laser beam focused on the investigated area. This contactless measurement, which can be performed through a transparent container, results in a variable analysis volume ranging from μm3 to mm3. This few-second-long measurement provides several pieces of information: present components and their concentration, flaws in composition or structure, induced or provoked mechanical stress.

The device developed by the LMOPS laboratory is appropriate for many measurement conditions: in a laboratory, paired with another material characterisation technique, chemical or shaping processes on a pilot plant or directly on an industrial system, measurement in full light, outdoor measurement. The aim is to offer an integrated sensor, optimised to provide the desired indicators.

Examples of developed sensors:

Tracking sensors for:

  • road salt concentration
  • batch or continuous polymerisation reaction
  • polymer crystal growth during the shaping process
  • polymer spinning process
  • fermentation reaction

 

Chemicophysical characterisation torque sensor:

  • rheometer
  • X-ray characterisation
  • DSC
  • tensile testing
  • Portable device enabling contactless measurement without prior preparation of the to-be-analysed material
  • Remote measurement with optical fibres
  • Possible analysis through a non-absorbing interface
  • Few-second-long measurement
  • Adaptability to conditions and measuring environment
  • In situ and ex situ monitoring of chemical synthesis reactions and polymerisation (reagents, products, impurity)
  • On-line processes monitoring for shaping materials
  • Monitoring of industrial processes
  • Monitoring of environment pollutants

The creation process of a Raman-based spectral sensor involves a validation phase within the LMOPS laboratory before its deployment as a field sensor. This validation phase includes a demonstration stage of spectroscopic indicators relevant for measuring followed by a conception and optimisation phase of the optical device as well as data processing optimisation. The development time of the sensor varies according to the desired measurement sensitivity and the constraints of the measurement environment.

  • LMOPS – Area of research: photonics
  • ICube – Instrumentation et Procédés Photoniques (Photonics Instrumentation and Processes)

Ultra-fast imaging

Numerous physical phenomena occur at infinitesimal time scales challenging our ability to observe them. To capture these fleeting moments, ultrafast cameras prove to be essential. Relying on an advanced expertise in fast electronics and in designing CMOS circuits, the ICube laboratory has developed two families of revolutionary cameras to rise to this ambitious challenge.

The first one, an integrated camera equipped with a CMOS detector makes it possible to image phenomena at the nanosecond scale, revealing details which had been up to that point inaccessible. The second one, a streak camera, pushes the limits even further in allowing for the phenomena to be captured at the picosecond scale. The camera sensitivity goes as far as detecting single photons.

These cameras find many applications in health, in nanochemistry and in monitoring luminous phenomena.

CMOS detector developed at ICube enabling the phenomena imaging at the nanosecond scale. © Wilfried Uhring-Université de Strasbourg

Full-field OCT Elastography

Since the introduction of quantitative elastography in MRI, then in ultrasound scanning, numerous studies have demonstrated the clinical relevance of this contrast for medical imaging, in particular for ultrasound imaging where quantitative elastography is now commonly used for breast cancer screening.

In the Photonics Instrumentation and Processes (IPP) team of the ICube laboratory, we are developing a unique approach stemming from our latest work projects in passive elastography using noise correlation which is currently one of the most promising approaches for in vivo and contactless optical elastography inside biological tissue.

More specifically, the device being developed is a full-field OCT imaging system capable of measuring quantitative mechanical properties with its micrometric 3D resolution while simultaneously providing high-resolution morphological 3D images. This method applies to frequencies ranging from 100 Hz to 10 kHz.

 

 

Polarisation imaging

Polarimetric imaging uses the polarisation properties of light to explore physical and biological structures which are invisible when using traditional methods. Its applications include identification of gene signatures specific to cancerous tissue, in-real-time monitoring of their evolution, and measurement of air quality in urban areas. Recently, pairing polarimetric imaging with artificial intelligence has enabled to analyse and make a link between optical variations and biological processes or urban climatic measurement. Furthermore, the advances in quantum polarimetry using entangled photons offer an important opportunity for the conception of photonic components with increased sensitivity and robustness, even in low light. These innovations find promising applications in medicine and teledetection where precision is crucial.

Images of a lesion (actinic keratosis) on the skin of a 65-year-old patient. Left: cross polarisation dermatoscopy image. Centre: birefringence-related polarimetric parameter revealing the fibre network underneath. The lesion clearly appears on the left side of the image. Right: retardation-related parameter, revealing the change in fibre organisation on the lesion area.
Publications of reference
Tomographic diffractive microscopy: N. Verrier, M. Debailleul, O. Haeberlé, "Recent advances and current trends in transmission tomographic diffraction microscopy", Sensors 24, 1594 (2024) Microsphere-assisted microscopy: T. Hajj, S. Marbach, P. Montgomery, S. Lecler, M. Flury, "High-quality manipulable fiber-microsphere for super-resolution microscopy", Optics Letters 48, 2222 (2023) Fluorescence nanoscopy: D. El Arawi, C. Vézy, R. Déturche, M. Lehmann, H. Kessler, M. Dontenwill, R. Jaffiol, "Advanced quantification for single-cell adhesion by variable-angle TIRF nanoscopy", Biophysical Reports 1, 100021 (2021) S. Bazeille, A. Meguenani, K. Tout, S. Kohler, O. Jrad, J.-P. Chambard, C. Cudel, "A scanning deflectometry scheme for online defect detection and 3-D reconstruction of specular reflective materials", The International Journal of Advanced Manufacturing Technology 131, 245 (2024) I. Royaud, M. Ponçot, D. Chapron, P. Bourson, "Chapter 4 - In-situ microstructural measurements: coupling mechanical, dielectrical, thermal analysis with Raman spectroscopy for nanocomposites characterization", Micro and Nano Technologies, Design, Fabrication, and Characterization of Multifunctional Nanomaterials, Elsevier, Pages 73-121 (2022) D. Chapron, F. Rault, A. Talbourdet A, et al, "In-situ Raman monitoring of the poly(vinylidene fluoride) crystalline structure during a melt-spinning process", Journal of Raman Spectroscopy 52, 1073–1079 (2021) L. Clermont, W. Uhring, M. Georges, "Stray light characterization with ultrafast time-of-flight imaging", Scientific Reports 11, 10081 (2021)
Contacts
Sacha Bernet

Machine vision

Contacter
David Chapron

Raman spectroscopy

Contacter
Christophe Cudel

Monocular camera and Light-Field vision

Contacter
Manuel Flury

Local spectroscopy, microsphere-assisted microscopy, holographic microscopy

Contacter
Olivier Haeberlé

Holographic microscopy, tomographic microscopy

Contacter
Rodolphe Jaffiol

Fluorescence nanoscopy

Contacter
Amir Nahas

Biomedical optics

Contacter
Wilfried Uhring

Ultrafast imaging

Contacter
Jihad Zallat

Teledetection, radiometry and optical imaging

Contacter
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