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Benjamin Rappaz

Researcher at École Polytechnique Fédérale de Lausanne

Publications -  58
Citations -  4152

Benjamin Rappaz is an academic researcher from École Polytechnique Fédérale de Lausanne. The author has contributed to research in topics: Digital holographic microscopy & Microscopy. The author has an hindex of 22, co-authored 56 publications receiving 3857 citations. Previous affiliations of Benjamin Rappaz include Geneva College & Montreal Neurological Institute and Hospital.

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Digital holographic microscopy: a noninvasive contrast imaging technique allowing quantitative visualization of living cells with subwavelength axial accuracy.

TL;DR: A digital holographic microscope, in a transmission mode, especially dedicated to the quantitative visualization of phase objects such as living cells, is developed, based on an original numerical algorithm presented in detail elsewhere.
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Measurement of the integral refractive index and dynamic cell morphometry of living cells with digital holographic microscopy

TL;DR: A digital holographic microscope adapted to the quantitative study of cellular dynamics, in a transmission mode, and allows to determine independently the thickness and the integral refractive index of cells.
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Living specimen tomography by digital holographic microscopy: morphometry of testate amoeba

TL;DR: Morphometric measurements are extracted from the tomographic reconstructions, showing that the commonly used method for testate amoeba biovolume evaluation leads to systematic under evaluations by about 50%.
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Comparative study of human erythrocytes by digital holographic microscopy, confocal microscopy, and impedance volume analyzer

TL;DR: Digital holographic microscopy in combination with a decoupling procedure allows measuring noninvasively volume, refractive index, and hemoglobin content of single‐living RBCs with a high accuracy.
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Noninvasive characterization of the fission yeast cell cycle by monitoring dry mass with digital holographic microscopy

TL;DR: This study demonstrates the applicability of DHM as a tool for label-free quantitative analysis of the cell cycle and opens the possibility for its use in high-throughput screening.