Image denoising, one of the essential inverse problems, targets to remov...
Diffractive deep neural networks (D2NNs) are composed of successive
tran...
As a label-free imaging technique, quantitative phase imaging (QPI) prov...
Histological examination is a crucial step in an autopsy; however, the
t...
We demonstrate universal polarization transformers based on an engineere...
Under spatially-coherent light, a diffractive optical network composed o...
A unidirectional imager would only permit image formation along one
dire...
We report deep learning-based design of a massively parallel broadband
d...
Plaque assay is the gold standard method for quantifying the concentrati...
High-resolution synthesis/projection of images over a large field-of-vie...
Research on optical computing has recently attracted significant attenti...
The immunohistochemical (IHC) staining of the human epidermal growth fac...
A plethora of research advances have emerged in the fields of optics and...
Recent advances in deep learning have been providing non-intuitive solut...
Machine vision systems mostly rely on lens-based optical imaging
archite...
Accurate real-time object recognition from sensory data has long been a
...
Histological staining is a vital step used to diagnose various diseases ...
Diffractive deep neural networks have been introduced earlier as an opti...