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Daniel Sage

Researcher at École Polytechnique Fédérale de Lausanne

Publications -  93
Citations -  7424

Daniel Sage is an academic researcher from École Polytechnique Fédérale de Lausanne. The author has contributed to research in topics: Wavelet & Software. The author has an hindex of 29, co-authored 88 publications receiving 6155 citations. Previous affiliations of Daniel Sage include École Polytechnique & École Normale Supérieure.

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Experimental investigation of collagen waviness and orientation in the arterial adventitia using confocal laser scanning microscopy.

TL;DR: Information on collagen fiber waviness and orientation could be used to develop structural models of the adventitia, providing better means for analyzing and understanding the mechanical properties of vascular wall.
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A Snake-Based Approach to Accurate Determination of Both Contact Points and Contact Angles

TL;DR: A new method based on B-spline snakes (active contours) for measuring high-accuracy contact angles with good accuracy and applicability to a variety of images thanks to the high-quality image-interpolation model and an advanced image-energy term.
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Low-bond axisymmetric drop shape analysis for surface tension and contact angle measurements of sessile drops

TL;DR: Stalder et al. as discussed by the authors proposed a new method based on the Young-Laplace equation for measuring contact angles and surface tension, which can be used to measure axisymmetric sessile drops.
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Automatic tracking of individual fluorescence particles: application to the study of chromosome dynamics

TL;DR: This software, implemented as a Java plug-in for the public-domain ImageJ software, is used to track the movement of chromosomal loci within nuclei of budding yeast cells to reveal different classes of constraints on mobility of telomeres, reflecting differences in nuclear envelope association.
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DeconvolutionLab2: An open-source software for deconvolution microscopy.

TL;DR: This paper examines several standard algorithms used in deconvolution microscopy, notably: Regularized inverse filter, Tikhonov regularization, Landweber, T Sheikhonov-Miller, Richardson-Lucy, and fast iterative shrinkage-thresholding and distinguishes the algorithms in terms of image quality, performance, usability and computational requirements.