Publication
The sliding Frank-Wolfe algorithm and its application to super-resolution microscopy
Publications associées (32)
Functional and Structural Imaging with Optical Coherence Microscopy
Fluorescence microscopy techniques are well established research tools and have proven their use in a large variety of biomedical applications. Microscopic molecular contrast is achieved by imaging fluorescent dyes that bind specifically to a molecule of i ...
EPFL2013Sufficient Conditions for Feasibility and Optimality of Real-Time Optimization Schemes - I. Theoretical Foundations
Dominique Bonvin, Grégory François, Gene Bunin
The idea of iterative process optimization based on collected output measurements, or "real-time optimization" (RTO), has gained much prominence in recent decades, with many RTO algorithms being proposed, researched, and developed. While the essential goal ...
arXiv:1308.2620 [math.OC]2013Structural and Functional Stochastic Super-Resolution Microscopy
Super-resolution fluorescence microscopy is a promising tool with the potential to strengthen our understanding of living processes. Based on the ability to switch fluorophores on and off in an either deterministic or stochastic manner, the fundamental lim ...
EPFL2013Fast algorithm for blind optimization of optical systems. Statistics and methodology
Adaptive Optics (AO) improves the efficiency of the optical devices in confocal imaging systems by reducing wavefront aberrations. Aberration is caused by imperfections within the system and reduces the optical signal to noise ratio of the resultant images ...
Natl Inst Optoelectronics2012Challenges in Computational Electromagnetics
To meet strict requirements of the information society technologies, antennas and circuit elements are becoming increasingly complex. Frequently, their electromagnetic (EM) properties cannot be anymore expressed in closed-form analytical expressions mainly ...
EPFL2011A Fast Multilevel Algorithm for Wavelet-Regularized Image Restoration
Michaël Unser, Cédric René Jean Vonesch
We present a multilevel extension of the popular "thresholded Landweber" algorithm for wavelet-regularized image restoration that yields an order of magnitude speed improvement over the standard fixed-scale implementation. The method is generic and targete ...
IEEE2009Fast and automated wavelet-regularized image restoration in fluorescence microscopy
The subject of this thesis is image restoration, that is, deconvolution and denoising. Our work is motivated by applications in the rapidly expanding field of biological imaging and in particular fluorescence microscopy. Inverse problems in this area typic ...
EPFL2009