Publications related to 3D Poisson Microscopy Deconvolution With Hessian Schatten-Norm Regularization

Impact of Mode-Hopping Noise on InGaN Edge Emitting Laser Relative Intensity Noise Properties

Nicolas Grandjean, Raphaël Butté, Stéphane Trebaol, Antoine Congar

In this paper, we report, through a comparative analysis of static and dynamic measurements, on the impact of mode hopping on the overall intensity noise dynamics of InGaN edge emitting lasers. Mode clustering usually observed in InGaN lasers enhances the ...

Ieee-Inst Electrical Electronics Engineers Inc2018

Phase Transitions in the Pooled Data Problem

Volkan Cevher, Jonathan Mark Scarlett

In this paper, we study the {\em pooled data} problem of identifying the labels associated with a large collection of items, based on a sequence of pooled tests revealing the counts of each label within the pool. In the noiseless setting, we identify an ex ...

2017

Super-resolution microscopy live cell imaging and image analysis

Tomas Lukes

Novel fundamental research results provided new techniques going beyond the diffraction limit. These recent advances known as super-resolution microscopy have been awarded by the Nobel Prize as they promise new discoveries in biology and live sciences. All ...

Czech Technical University in Prague2017

Nonuniformity Analysis of a 65-kpixel CMOS SPAD Imager

Edoardo Charbon, Claudio Bruschini, Ivan Michel Antolovic, Samuel Burri

While CMOS single-photon avalanche diode (SPAD) technology has steadily advanced, improving noise, timing resolution, and sensitivity, spatial resolution has been increasing as well. The increase in the number of pixels has made a comprehensive analysis of ...

IEEE-Inst Electrical Electronics Engineers Inc2016

Sampling and Reconstruction of Shapes with Algebraic Boundaries

Martin Vetterli, Arash Amini, Mitra Fatemi

We present a sampling theory for a class of binary images with finite rate of innovation (FRI). Every image in our model is the restriction of

\mathds{1}_{\{p\leq0\}}

to the image plane, where

\mathds{1}

denotes the indicator function and

p

is some r ...

2016

Simultaneous temporal superresolution and denoising for cardiac fluorescence microscopy

Michael Stefan Daniel Liebling

Due to low light emission of fluorescent samples, live fluorescence microscopy imposes a tradeoff between spatiotemporal resolution and signal-to-noise ratio. This can result in images and videos containing motion blur or Poisson-type shot noise, depending ...

2016

Sparsity-Based Data Reconstruction Models for Biomedical Imaging

Emrah Bostan

We propose new regularization models to solve inverse problems encountered in biomedical imaging applications. In formulating mathematical schemes, we base our approach on the sparse signal processing principles that have emerged as a central paradigm in t ...

EPFL2016

Recent trends in low-frequency noise reduction techniques for integrated circuits

Christian Enz, Assim Boukhayma

This paper presents the two main circuit techniques, namely autozeroing (AZ) and chopper stabilization (CS), that are used to reduce the 1/f noise and offset in amplifiers typically used in sensor electronics interfaces. After recalling their main properti ...

2015

Convergence estimates in probability and in expectation for discrete least squares with noisy evaluations at random points

Fabio Nobile, Giovanni Migliorati

We study the accuracy of the discrete least-squares approximation on a finite-dimensional space of a real-valued target function from noisy pointwise evaluations at independent random points distributed according to a given sampling probability measure. Th ...

2015

MATHICSE Technical Report : Convergence estimates in probability and in expectation for discrete least squares with noisy evaluations at random points

Fabio Nobile, Giovanni Migliorati

We study the accuracy of the discrete least-squares approximation on a finite dimensional space of a real-valued target function from noisy pointwise evaluations at independent random points distributed according to a given sampling probability measure. Th ...

MATHICSE2015

3D Poisson Microscopy Deconvolution With Hessian Schatten-Norm Regularization

Graph Chatbot

Chat with Graph Search

Impact of Mode-Hopping Noise on InGaN Edge Emitting Laser Relative Intensity Noise Properties

Phase Transitions in the Pooled Data Problem

Super-resolution microscopy live cell imaging and image analysis

Nonuniformity Analysis of a 65-kpixel CMOS SPAD Imager

Sampling and Reconstruction of Shapes with Algebraic Boundaries

Simultaneous temporal superresolution and denoising for cardiac fluorescence microscopy

Sparsity-Based Data Reconstruction Models for Biomedical Imaging

Recent trends in low-frequency noise reduction techniques for integrated circuits

Convergence estimates in probability and in expectation for discrete least squares with noisy evaluations at random points

MATHICSE Technical Report : Convergence estimates in probability and in expectation for discrete least squares with noisy evaluations at random points

Nonuniformity Analysis of a 65-kpixel CMOS SPAD Imager

MATHICSE Technical Report : Convergence estimates in probability and in expectation for discrete least squares with noisy evaluations at random points

Convergence estimates in probability and in expectation for discrete least squares with noisy evaluations at random points

Impact of Mode-Hopping Noise on InGaN Edge Emitting Laser Relative Intensity Noise Properties

Sampling and Reconstruction of Shapes with Algebraic Boundaries

Phase Transitions in the Pooled Data Problem

Super-resolution microscopy live cell imaging and image analysis

Sparsity-Based Data Reconstruction Models for Biomedical Imaging

Simultaneous temporal superresolution and denoising for cardiac fluorescence microscopy

Recent trends in low-frequency noise reduction techniques for integrated circuits