Daniel Sage

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Related publications (72)

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A software solution for recording circadian oscillator features in time-lapse live cell microscopy

Michaël Unser, Daniel Sage

Background: Fluorescent and bioluminescent time-lapse microscopy approaches have been successfully used to investigate molecular mechanisms underlying the mammalian circadian oscillator at the single cell level. However, most of the available software and ...

BioMed Central Ltd.2010

Correction of multiple-blinking artifacts in photoactivated localization microscopy

Daniel Sage, Juliette Griffie

Photoactivated localization microscopy (PALM) produces an array of localization coordinates by means of photoactivatable fluorescent proteins. However, observations are subject to fluorophore multiple blinking and each protein is included in the dataset an ...

Nature Publishing Group2022

Effect of Ageing on Elastin Functionality in Human Cerebral Arteries

Michaël Unser, Nikolaos Stergiopoulos, Daniel Sage, Jean Fasel

ASME2008

Super-resolution fight club: assessment of 2D and 3D single-molecule localization microscopy software

Michaël Unser, Daniel Sage, Thanh-An Michel Pham, Tomas Lukes, Seamus John Holden, Anna Archetti, Thomas Pengo

With the widespread uptake of two-dimensional (2D) and three-dimensional (3D) single-molecule localization microscopy (SMLM), a large set of different data analysis packages have been developed to generate super-resolution images. In a large community effo ...

Nature Publishing Group2019

Super-Resolution Fight Club

Daniel Sage

A 2016 competition to find the optimum software for 3D single-molecule localization microscopy will help practitioners choose the best tool for the job and spur further developments in the field. ...

Nature Publishing Group2016

JDLL: a library to run deep learning models on Java bioimage informatics platforms

Daniel Sage

Nature Publishing Group2024

DeepImageJ: A user-friendly environment to run deep learning models in ImageJ

Michaël Unser, Daniel Sage, Laurène Donati

DeepImageJ offers a user-friendly solution in ImageJ to run trained deep learning models for biomedical image analysis. It includes guiding tools for reliable analyses, contributing to the democratization of deep learning in microscopy. ...

Nature Publishing Group2021

Selective visualization of fluorescent sterols in Caenorhabditis elegans

Daniel Sage

2008

Multicolor Bleach-Rate Imaging Enlightens in vivo Sterol Transport

Daniel Sage

Elucidation of in vivo cholesterol transport and its aberrations in cardiovascular diseases requires suitable model organisms and the development of appropriate monitoring technology. We recently presented a new approach to visualize transport of the intri ...

Landes Bioscience2010

Fast Detection of Cells Using a Continuously Scalable Mexican-Hat-Like Template

Michaël Unser, Daniel Sage, Zsuzsanna Püspöki, Kunal Narayan Chaudhury

We propose a fast algorithm for the detection of cells in fluorescence images. The algorithm, which estimates the number of cells and their respective centers and radii, relies on the fast computation of intensity-based correlations between the cells and a ...

IEEE2010

Phase Retrieval by Using Transport-of-Intensity Equation and Differential Interference Contrast Microscopy

Michaël Unser, Daniel Sage, Benjamin Rappaz, Emrah Bostan, Emmanuel Augustin Julien Froustey

We present a variational reconstruction algorithm for the phase-retrieval problem by using the differential interference contrast microscopy. Principally, we rely on the transport-of-intensity equation that specifies the sought phase as the solution of a p ...

IEEE2014

Fast Detection and Refined Scale Estimation Using Complex Isotropic Wavelets

Michaël Unser, Daniel Sage, John Paul Ward, Zsuzsanna Püspöki

The dyadic scaling in the discrete wavelet transform can lead to a loss of precision, in comparison to the computationally unrealistic continuous wavelet transform. To overcome this obstacle, we propose a novel method to locally scale wavelets between dyad ...

IEEE2015