International audienceThe new generation of confocal microscopes are equipped with an array detector that generates an array of images corresponding to a multiview of the same sample. Several computational methods have been proposed to reconstruct a single super-resolution image from a stack of images associated to detectors. Each method has its pros and cons depending on the targeted application. In this paper, we review the most commonly used reconstruction methods and propose a SU RE approach to automatically estimate parameters and improve reconstruction. Methods described in this paper are available in an open source software
We propose an algorithmic technique for accelerating maximum likelihood (ML) algorithm for image rec...
Light nanoscopy is attracting widespread interest for the visualization of fluorescent structures at...
Confocal laser scanning (CLS) and two-photon excitation (TPE) microscopy are powerful techniques for...
International audienceThe new generation of confocal microscopes are equipped with an array detector...
Array detector allows a resolution gain for confocal microscopy by combining images sensed by a set ...
We demonstrate the reconstruction of images obtained by multifocal structured illumination microscop...
We demonstrate the reconstruction of images obtained by multifocal structured illumination microscop...
There are basically two types of microscope, which we call conventional and scanning. The former typ...
There is growing interest in techniques based on using detector arrays in confocal microscopy [1]. M...
The confocal microscope can image a specimen in its natural environment forming a 3D image of the wh...
An algorithm based on the Haar wavelet basis and implementing an expectation maximization-maximum pe...
In this work, we present a new algorithm for wide‐field fluorescent micrsocopy deconvolution from a ...
Super-resolution microscopes (such as STED) illuminate samples with a tiny spot, and achieve very hi...
Whereas the resolving power of an ordinary optical microscope is determined by the classical Rayleig...
Confocal microscopes utilize point illumination and pinhole detection to reject out-of-focus light. ...
We propose an algorithmic technique for accelerating maximum likelihood (ML) algorithm for image rec...
Light nanoscopy is attracting widespread interest for the visualization of fluorescent structures at...
Confocal laser scanning (CLS) and two-photon excitation (TPE) microscopy are powerful techniques for...
International audienceThe new generation of confocal microscopes are equipped with an array detector...
Array detector allows a resolution gain for confocal microscopy by combining images sensed by a set ...
We demonstrate the reconstruction of images obtained by multifocal structured illumination microscop...
We demonstrate the reconstruction of images obtained by multifocal structured illumination microscop...
There are basically two types of microscope, which we call conventional and scanning. The former typ...
There is growing interest in techniques based on using detector arrays in confocal microscopy [1]. M...
The confocal microscope can image a specimen in its natural environment forming a 3D image of the wh...
An algorithm based on the Haar wavelet basis and implementing an expectation maximization-maximum pe...
In this work, we present a new algorithm for wide‐field fluorescent micrsocopy deconvolution from a ...
Super-resolution microscopes (such as STED) illuminate samples with a tiny spot, and achieve very hi...
Whereas the resolving power of an ordinary optical microscope is determined by the classical Rayleig...
Confocal microscopes utilize point illumination and pinhole detection to reject out-of-focus light. ...
We propose an algorithmic technique for accelerating maximum likelihood (ML) algorithm for image rec...
Light nanoscopy is attracting widespread interest for the visualization of fluorescent structures at...
Confocal laser scanning (CLS) and two-photon excitation (TPE) microscopy are powerful techniques for...