Machine learning in electron microscopy for advanced nanocharacterization: current developments, available tools and future outlook
In the last few years, electron microscopy has experienced a new methodological paradigm
aimed to fix the bottlenecks and overcome the challenges of its analytical workflow. Machine …
aimed to fix the bottlenecks and overcome the challenges of its analytical workflow. Machine …
Optical ptychography for biomedical imaging: recent progress and future directions
Ptychography is an enabling microscopy technique for both fundamental and applied
sciences. In the past decade, it has become an indispensable imaging tool in most X-ray …
sciences. In the past decade, it has become an indispensable imaging tool in most X-ray …
do: A differentiable engine for deep lens design of computational imaging systems
Computational imaging systems algorithmically post-process acquisition images either to
reveal physical quantities of interest or to increase image quality, eg, deblurring. Designing …
reveal physical quantities of interest or to increase image quality, eg, deblurring. Designing …
Illumination pattern design with deep learning for single-shot Fourier ptychographic microscopy
YF Cheng, M Strachan, Z Weiss, M Deb, D Carone… - Optics express, 2019 - opg.optica.org
Fourier ptychographic microscopy allows for the collection of images with a high space-
bandwidth product at the cost of temporal resolution. In Fourier ptychographic microscopy …
bandwidth product at the cost of temporal resolution. In Fourier ptychographic microscopy …
Noise-robust latent vector reconstruction in ptychography using deep generative models
Computational imaging is increasingly vital for a broad spectrum of applications, ranging
from biological to material sciences. This includes applications where the object is known …
from biological to material sciences. This includes applications where the object is known …
Using automatic differentiation as a general framework for ptychographic reconstruction
Coherent diffraction imaging methods enable imaging beyond lens-imposed resolution
limits. In these methods, the object can be recovered by minimizing an error metric that …
limits. In these methods, the object can be recovered by minimizing an error metric that …
Three dimensions, two microscopes, one code: Automatic differentiation for x-ray nanotomography beyond the depth of focus limit
Conventional tomographic reconstruction algorithms assume that one has obtained pure
projection images, involving no within-specimen diffraction effects nor multiple scattering …
projection images, involving no within-specimen diffraction effects nor multiple scattering …
Towards self-calibrated lens metrology by differentiable refractive deflectometry
Deflectometry, as a non-contact, fully optical metrology method, is difficult to apply to
refractive elements due to multi-surface entanglement and precise pose alignment. Here, we …
refractive elements due to multi-surface entanglement and precise pose alignment. Here, we …
Time-resolved X-ray microscopy for materials science
X-ray microscopy has been an indispensable tool to image nanoscale properties for
materials research. One of its recent advances is extending microscopic studies to the time …
materials research. One of its recent advances is extending microscopic studies to the time …
Ptychonet: Fast and high quality phase retrieval for ptychography
Ptychography is a coherent diffractive imaging method that captures multiple diffraction
patterns of a sample with a set of shifted localized illuminations (“probes”). The …
patterns of a sample with a set of shifted localized illuminations (“probes”). The …