We report the experimental demonstration of deeply subwavelength far-fieldoptical imaging of unlabelled samples with resolution better than λ/20. We beat the ~λ/2 diffraction limit of conventional optical microscopy several times over by recording the intensity pattern of coherent light scattered from the object into the far-field. We retrieve information about the object with a deep learning neural network trained on scattering events from a large set of known objects
Abstract By circumventing the resolution limitations of optics, coherent diffractive imaging (CDI) a...
The limited resolution of a conventional optical imaging system stems from the fact that the fine fe...
Deep learning has been proven to yield reliably generalizable solutions to numerous classification a...
We report the experimental demonstration of deeply subwavelength far-field optical microscopy of unl...
A nonintrusive far-field optical microscopy resolving structures at the nanometer scale would revolu...
We demonstrate experimentally label-free far-field imaging of subwavelength objects at resolution gr...
We introduce a non-intrusive far-field optical microscopy, which reveals the fine structure of an ob...
Seeing and recognizing an object whose size is much smaller than the illumination wavelength is a ch...
In this work, we discuss our recent research advances in the field of subwavelength image recognitio...
In this work, we demonstrate theoretically and experimentally the ability to classify and reconstruc...
We report the development of deep-learning coherent electron diffractive imaging at subangstrom reso...
Since their inception in the 1930–1960s, the research disciplines of computational imaging and machi...
International audienceTomographic diffraction microscopy is a three-dimensional quantitative optical...
The resolution of conventional microscopy is limited to a half of the wavelength of light. We report...
Abstract A computational imaging platform utilizing a physics-incorporated, deep-learned design of b...
Abstract By circumventing the resolution limitations of optics, coherent diffractive imaging (CDI) a...
The limited resolution of a conventional optical imaging system stems from the fact that the fine fe...
Deep learning has been proven to yield reliably generalizable solutions to numerous classification a...
We report the experimental demonstration of deeply subwavelength far-field optical microscopy of unl...
A nonintrusive far-field optical microscopy resolving structures at the nanometer scale would revolu...
We demonstrate experimentally label-free far-field imaging of subwavelength objects at resolution gr...
We introduce a non-intrusive far-field optical microscopy, which reveals the fine structure of an ob...
Seeing and recognizing an object whose size is much smaller than the illumination wavelength is a ch...
In this work, we discuss our recent research advances in the field of subwavelength image recognitio...
In this work, we demonstrate theoretically and experimentally the ability to classify and reconstruc...
We report the development of deep-learning coherent electron diffractive imaging at subangstrom reso...
Since their inception in the 1930–1960s, the research disciplines of computational imaging and machi...
International audienceTomographic diffraction microscopy is a three-dimensional quantitative optical...
The resolution of conventional microscopy is limited to a half of the wavelength of light. We report...
Abstract A computational imaging platform utilizing a physics-incorporated, deep-learned design of b...
Abstract By circumventing the resolution limitations of optics, coherent diffractive imaging (CDI) a...
The limited resolution of a conventional optical imaging system stems from the fact that the fine fe...
Deep learning has been proven to yield reliably generalizable solutions to numerous classification a...