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Related publications (30)

Pixel super-resolution with spatially entangled photons

Edoardo Charbon, Jiuxuan Zhao

Pixelation is common in quantum imaging systems and limit the image spatial resolution. Here, the authors introduce a pixel super-resolution approach based on measuring the full spatially-resolved joint probability distribution of spatially-entangled photo ...

Nature Portfolio2022

Thermally reconfigurable metalens

Giulia Tagliabue, Anna Archetti, Nathanaël Restori, Fateme Kiani Shahvandi, Theodoros Tsoulos, Ren-Jie Lin

Reconfigurable metalenses are compact optical components composed by arrays of meta-atoms that offer unique opportunities for advanced optical systems, from microscopy to augmented reality platforms. Although poorly explored in the context of reconfigurabl ...

WALTER DE GRUYTER GMBH2022

Event-driven acquisition for content-enriched microscopy

Suliana Manley, Dora Mahecic, Willi Leopold Stepp, Chen Zhang, Martin Weigert, Juliette Griffie

Event-driven acquisition uses neural-network-based recognition of specific biological events to trigger switching between slow and fast super-resolution imaging, enriching the capture of interesting events with high spatiotemporal resolution. A common goal ...

2022

Optical microscopy gets down to angstroms

Suliana Manley, Giorgio Tortarolo

Super-resolution microscopy at angstrom precision could pave the way to optical structural biology in cells. ...

NATURE PORTFOLIO2022

Combining Model Driven and Data Driven Approaches for Inverse Problems in Parameter Estimation and Image Reconstruction: From Modelling to Validation

Thomas Yu

Machine learning has become the state of the art for the solution of the diverse inverse problems arising from computer vision and medical imaging, e.g. denoising, super-resolution, de-blurring, reconstruction from scanner data, quantitative magnetic reson ...

EPFL2022

Distributed measurement of mode group effective refractive index difference in a few mode optical fibers

Luc Thévenaz, Zhisheng Yang, Alejandro Dominguez Lopez

The possibility to perform distributed measurements of the effective refractive index difference between distinct modes in few mode optical fibers is demonstrated using phase sensitive optical time domain reflectometry. Effective refractive index differenc ...

2022

Semantic Segmentation of Remote Sensing Images With Sparse Annotations

Devis Tuia

Training convolutional neural networks (CNNs) for very high-resolution images requires a large quantity of high-quality pixel-level annotations, which is extremely labor-intensive and time-consuming to produce. Moreover, professional photograph interpreter ...

2022

Fluorescent D-Amino Acids for Super-resolution Microscopy of the Bacterial Cell Wall

Suliana Manley, Luc Reymond, Ophélie Rutschmann, Willi Leopold Stepp, Juliette Griffie, Chen Zhang, Jiangtao Qiao, Faustine Ambroisine Charline Ryckebusch

Fluorescent D-amino acids (FDAAs) have previ-ously been developed to enable in situ highlighting of locations of bacterial cell wall growth. Most bacterial cells lie at the edge of the diffraction limit of visible light; thus, resolving the precise details ...

2022

Wind-Topo: Downscaling near-surface wind fields to high-resolution topography in highly complex terrain with deep learning

Michael Lehning, Jérôme François Sylvain Dujardin

Predicting wind flow in highly complex terrain like the Alps is a challenge for all models. When physical processes need to be resolved in a spatially explicit manner, grids with high horizontal resolution of a few hundred meters are often required and dra ...

WILEY2022

Benefiting From Bicubically Down-Sampled Images for Learning Real-World Image Super-Resolution

Jean-Philippe Thiran, Thomas Yu, Seyedbehzad Bozorgtabar, Claudiu-Cristian Musat, Hazim Kemal Ekenel, Mohammad Saeed Rad

Super-resolution (SR) has traditionally been based on pairs of high-resolution images (HR) and their low-resolution (LR) counterparts obtained artificially with bicubic downsampling. However, in real-world SR, there is a large variety of realistic image de ...

2021

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NATURE PORTFOLIO2022

Combining Model Driven and Data Driven Approaches for Inverse Problems in Parameter Estimation and Image Reconstruction: From Modelling to Validation

Thomas Yu

EPFL2022

Fluorescent D-Amino Acids for Super-resolution Microscopy of the Bacterial Cell Wall

Suliana Manley, Luc Reymond, Ophélie Rutschmann, Willi Leopold Stepp, Juliette Griffie, Chen Zhang, Jiangtao Qiao, Faustine Ambroisine Charline Ryckebusch

2022

Wind-Topo: Downscaling near-surface wind fields to high-resolution topography in highly complex terrain with deep learning

Michael Lehning, Jérôme François Sylvain Dujardin

WILEY2022