Imaging and pattern projection through multicore fibers using the memory effect

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Publications associées (32)

Polarization-sensitive optics diffraction tomography

Demetri Psaltis, Ahmed Ayoub, Joowon Lim, Elizabeth Elena Antoine, Amirhossein Saba Shirvan

Polarization of light has been widely used as a contrast mechanism in two-dimensional (2D) microscopy and also in some three-dimensional (3D) imaging modalities. In this paper, we report the 3D tomographic reconstruction of the refractive index (RI) tensor ...

2021

Biodegradable Harmonophores for Targeted High-Resolution In Vivo Tumor Imaging

Sylvie Roke, Ali Yasin Sonay, Shahed Behzadi, Claire Jacqueline Léa Teulon, Sine Yaganoglu

Optical imaging probes have played a major role in detecting and monitoring a variety of diseases. In particular, nonlinear optical imaging probes, such as second harmonic generating (SHG) nanoprobes, hold great promise as clinical contrast agents, as they ...

2021

Ultrasound Imaging: From Physical Modeling to Deep Learning

Dimitris Perdios

Among the medical imaging modalities, ultrasound (US) imaging is one of the safest, most widespread, and least expensive method used in medical diagnosis. In the past decades, several technological advances enabled the advent of ultrafast US imaging, an ac ...

EPFL2021

Parameter-free rendering of single-molecule localization microscopy data for parameter-free resolution estimation

Aleksandra Radenovic, Adrien Charles-François Raymond Descloux, Kristin Stefanie Grussmayer

Localization microscopy is a super-resolution imaging technique that relies on the spatial and temporal separation of blinking fluorescent emitters. These blinking events can be individually localized with a precision significantly smaller than the classic ...

2021

Metasurfaces for label-free biosensing mid-infrared optics and active photonic devices

Aleksandrs Leitis

Novel two-dimensional metamaterials, known as metasurfaces, have emerged as a breakthrough platform for controlling electromagnetic wave properties at the nanoscale. These metasurfaces consist of subwavelength nanoantennas or so-called meta-atoms, which ca ...

EPFL2021

Computational methods for live heart imaging with speed-constrained microscopes

Olivia Mariani

Imaging methods to capture the beating and developing heart inside embryonic animal models such as the zebrafish are a key component for the study of fundamental biological processes such as cardiac birth defects or tissue regeneration. However, live heart ...

EPFL2021

Exploring optically active defects in wide-bandgap materials using fluorescence microscopy

Evgenii Glushkov

Defects in solid-state systems can be both detrimental, deteriorating the quality of materials, or desired, thanks to the novel functionality they bring. Optically active point defects, producing fluorescent light, are a great example of the latter. Natura ...

EPFL2021

Subcellular Chemical Imaging: New Avenues in Cell Biology

Melissa Kathleen Passarelli

To better understand the physiology and acclimation capability of the cell, one of the great challenges of the future is to access the interior of a cell and unveil its chemical landscape (composition and distribution of elements and molecules). Chemical i ...

ELSEVIER SCIENCE LONDON2020

Graph-based regularization of inverse problems in imaging

Mattia Rossi

As of today, the extension of the human visual capabilities to machines remains both a cornerstone and an open challenge in the attempt to develop intelligent systems. On the one hand, the development of more and more sophisticated imaging devices, capable ...

EPFL2020

Homogeneous multifocal excitation for high-throughput super-resolution imaging

Pierre Gönczy, Virginie Hamel, Suliana Manley, Paul Guichard, Dora Mahecic, Kyle Michael Douglass, Denis Fortun, Niccolo Banterle, Khalid Ashraf Mohie Ibrahim, Davide Gambarotto

Super-resolution microscopies have become an established tool in biological research. However, imaging throughput remains a main bottleneck in acquiring large datasets required for quantitative biology. Here we describe multifocal flat illumination for fie ...

2020

High-throughput and adaptive super-resolution fluorescence microscopy of organelles

Dora Mahecic

Fluorescence super-resolution microscopy has allowed unprecedented insight into the workings of biological systems below the diffraction limit of light. Over the past decade, it has overcome several challenges to deliver 3D, multi-color and faster imaging ...

EPFL2020

Towards Real-World Super-Resolution using Deep Neural Networks

Ruofan Zhou

Image super-resolution reconstructs a higher-resolution image from the observed low-resolution image. In recent years, machine learning models have been widely employed and deep learning networks have achieved state-of-the-art super-resolution performance. ...

EPFL2020

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