Microscopy

Object detection, characterization and reconstruction from faint signals in images: applications in astronomy and microscopy

Astronomy is a field of study in which optical advances have driven the design of new generations of instruments always more efficient and dedicated to specific tasks. In particular, the detection of exoplanets and their characterization by direct …

Accounting for the nonstationary correlated noise in digital holography

In in-line digital holography, the background of the recorded images is sometimes much higher than the signal of interest. It can originates, for example, from the diffraction of dusts or fringes coming from multiple reflexions in the optical …

ExPACO: détection de motifs spatialement étendus dans des images présentant un bruit non stationnaire corrélé

Dans différents domaines de l'imagerie, il est nécessaire de détecter un signal faible correspondant à un motif connu superposé à un fond fort et spatialement corrélé. Cette problématique est rencontrée par exemple en astronomie lors de la détection …

Object detection and characterization from faint signals in images: applications in astronomy and microscopy

Detecting and characterizing objects in images in the low signal-to-noise ratio regime is a critical issue in many areas such as astronomy or microscopy. In astronomy, the detection of exoplanets and their characterization by direct imaging from the …

ExPACO: detection of an extended pattern under nonstationary correlated noise by patch covariance modeling

In several areas of imaging, it is necessary to detect the weak signal of a known pattern superimposed over a background. Because of its temporal fluctuations, the background maybe difficult to suppress. Detection of the pattern then requires a …

Detection and characterization of faint signals in images : application in astronomy and microscopy

Numerical reconstruction of holograms using inverse problems approaches

Several reconstruction approaches based on inverse problems (also called compressive sensing, Bayesian approaches, model fitting) have been proposed recently in digital holography. We demonstrate how such approaches improve hologram reconstruction in …

Reconstruction of in-line holograms combining model fitting and image-based regularized inversion

We propose to reconstruct in-line holograms using a joint forward model on samples composed of a simple subpart estimated by model fitting and a complex shape subpart reconstructed using numerical (pixel-based) regularized inversion.

Reconstruction of in-line holograms: combining model-based and regularized inversion

In-line digital holography is a simple yet powerful tool to image absorbing and/or phase objects. Nevertheless, the loss of the phase of the complex wavefront on the sensor can be critical in the reconstruction process. The simplicity of the setup …

Joint reconstruction in in-line holography combining parametric and non-parametric inverse approaches: application to fluid mechanics

In-line digital holography is a simple and powerful tool to image absorbing and/or phase objects in numerous fields such as crystallography, biology or fluid mechanics. Nevertheless, this kind of interference imaging technique leads to a loss of the …