Add to ORKGWe use deep learning to optimize the end-to-end design of computational microscopes, jointly designing the hardware for data collection and processing software for object reconstruction. With this framework, we optimize the illumination pattern for high space-bandwidth product imaging and 3-dimensional imaging
The microscopy imaging technique has been employed as the gold-standard method for diagnosing numero...
A key aspect of many computational imaging systems, from compressive cameras to low light photograph...
Optical microscopes have been an indispensable tool in biology and medicine for over three centuries...
We use deep learning to optimize the end-to-end design of computational microscopes, jointly designi...
Over the past decade, deep learning has become one of the leading techniques used in the field of im...
In computational imaging systems (e.g. tomographic systems, computational optics, magnetic resonance...
Abstract A computational imaging platform utilizing a physics-incorporated, deep-learned design of b...
Deep learning has revolutionised microscopy, enabling automated means for image classification, trac...
Exponential advancements in computational resources and algorithms have given birth to the new parad...
Artificial neural networks have been combined with microscopy to visualize the 3D structure of biolo...
Computational imaging and sensing aim to redesign optical systems from the ground up, jointly consid...
© COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only. Deep learning has ...
We propose to use deep convolutional neural networks (DCNNs) to perform 2D and 3D computational imag...
Deep learning is a class of machine learning techniques that uses multi-layered artificial neural ne...
Deep learning is a subcategory of machine learning and artificial intelligence. Instead of using exp...
The microscopy imaging technique has been employed as the gold-standard method for diagnosing numero...
A key aspect of many computational imaging systems, from compressive cameras to low light photograph...
Optical microscopes have been an indispensable tool in biology and medicine for over three centuries...
We use deep learning to optimize the end-to-end design of computational microscopes, jointly designi...
Over the past decade, deep learning has become one of the leading techniques used in the field of im...
In computational imaging systems (e.g. tomographic systems, computational optics, magnetic resonance...
Abstract A computational imaging platform utilizing a physics-incorporated, deep-learned design of b...
Deep learning has revolutionised microscopy, enabling automated means for image classification, trac...
Exponential advancements in computational resources and algorithms have given birth to the new parad...
Artificial neural networks have been combined with microscopy to visualize the 3D structure of biolo...
Computational imaging and sensing aim to redesign optical systems from the ground up, jointly consid...
© COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only. Deep learning has ...
We propose to use deep convolutional neural networks (DCNNs) to perform 2D and 3D computational imag...
Deep learning is a class of machine learning techniques that uses multi-layered artificial neural ne...
Deep learning is a subcategory of machine learning and artificial intelligence. Instead of using exp...
The microscopy imaging technique has been employed as the gold-standard method for diagnosing numero...
A key aspect of many computational imaging systems, from compressive cameras to low light photograph...
Optical microscopes have been an indispensable tool in biology and medicine for over three centuries...