Publications by François Aguet

3-D PSF fitting for fluorescence microscopy: implementation and localization application

Michaël Unser, Daniel Sage, François Aguet, Hagay Kirshner

Localization microscopy relies on computationally efficient Gaussian approximations of the point spread function for the calculation of fluorophore positions. Theoretical predictions show that under specific experimental conditions, localization accuracy i ...

Wiley-Blackwell2013

Super-resolved position and orientation estimation of fluorescent dipoles using 3-D steerable filters

Theo Lasser, Iwan Märki, François Aguet, Stefan Geissbühler

The diffraction patterns of fixed fluorophores are characteristic of the orientation of the molecules' underlying dipole. Fluorescence localization microscopy techniques such as PALM and STORM achieve super-resolution by sequentially imaging sparse subsets ...

Spie-Int Soc Optical Engineering, Po Box 10, Bellingham, Wa 98227-0010 Usa2010

Three-dimensional nano-localization of single fluorescent emitters

Theo Lasser, Iwan Märki, François Aguet, Stefan Geissbühler, Noelia Laura Bocchio

We present a combination of self-interference microscopy with lateral super-resolution microscopy and introduce a novel approach for localizing a single nano-emitter to within a few nanometers in all three dimensions over a large axial range. We demonstrat ...

Optical Society of America2010

Optical Imaging Using Binary Sensors

Michaël Unser, François Aguet, Aurélien Bourquard

This paper addresses the problem of reconstructing an image from 1-bit-quantized measurements, considering a simple but nonconventional optical acquisition model. Following a compressed-sensing design, a known pseudo-random phase-shifting mask is introduce ...

OSA2010

Steerable filters for orientation estimation and localization of fluorescent dipoles

Michaël Unser, Theo Lasser, Iwan Märki, Stefan Geissbühler, François Aguet

Fluorescence localization microscopy (i.e., PALM, STORM) has enabled optical imaging at nanometer-scale resolutions. The localization algorithms used in these techniques rely on fitting a 2-D Gaussian to the in-focus image of individual fluorophores. For f ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2009

Super-resolution fluorescence microscopy based on physical models

François Aguet

This thesis introduces a collection of physics-based methods for super-resolution in optical microscopy. The core of these methods constitutes a framework for 3-D localization of single fluorescent molecules. Localization is formulated as a parameter estim ...

EPFL2009

Super-resolution orientation estimation and localization of fluorescent dipoles using 3-D steerable filters

Michaël Unser, Theo Lasser, Iwan Märki, François Aguet, Stefan Geissbühler

Fluorophores that are fixed during image acquisition produce a diffraction pattern that is characteristic of the orientation of the fluorophore’s underlying dipole. Fluorescence localization microscopy techniques such as PALM and STORM achieve super-resolu ...

OSA2009

An accurate PSF model with few parameters for axially shift-variant deconvolution

Michaël Unser, Dimitri Nestor Alice Van De Ville, François Aguet

Accurate knowledge of an imaging system's point spread function (PSF) is crucial for successful deconvolution. For fluorescence microscopy, PSF estimations based on either theoretical models or experimental measurements are available. However, due to the a ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2008

Model-Based 2.5-D Deconvolution for Extended Depth of Field in Brightfield Microscopy

Michaël Unser, Dimitri Nestor Alice Van De Ville, François Aguet

Due to the limited depth of field of brightfield microscopes, it is usually impossible to image thick specimens entirely in focus. By optically sectioning the specimen, the in-focus information at the specimen's surface can be acquired over a range of imag ...

IEEE2008

Parametric B-Spline Snakes on Distance Maps—Application to Segmentation of Histology Images

Michaël Unser, Philippe Thévenaz, François Aguet, Chandra Sekhar Seelamantula

We construct parametric active contours (snakes) for outlining cells in histology images. These snakes are defined in terms of cubic B-spline basis functions. We use a steerable ridge detector for obtaining a reliable map of the cell boundaries. Using the ...

EURASIP2008