Search Results for author:
Found 9 papers, 6 papers with code
Advances in Electron Microscopy with Deep Learning
This doctoral thesis covers some of my advances in electron microscopy with deep learning.
Review: Deep Learning in Electron Microscopy
Deep learning is transforming most areas of science and technology, including electron microscopy.
Adaptive Partial Scanning Transmission Electron Microscopy with Reinforcement Learning
However, dynamic scans that adapt to specimens are expected to be able to match or surpass the performance of static scans as static scans are a subset of possible dynamic scans.
Warwick Electron Microscopy Datasets
Large, carefully partitioned datasets are essential to train neural networks and standardize performance benchmarks.
Image and Video Processing Machine Learning
Deep Learning Supersampled Scanning Transmission Electron Microscopy
Building on a history of successful deep learning applications in compressed sensing, we have developed a two-stage multiscale generative adversarial network to supersample scanning transmission electron micrographs with point-scan coverage reduced to 1/16, 1/25, ..., 1/100 px.
Adaptive Learning Rate Clipping Stabilizes Learning
Artificial neural network training with stochastic gradient descent can be destabilized by "bad batches" with high losses.
Partial Scanning Transmission Electron Microscopy with Deep Learning
Our generator networks are trained on partial scans created from a new dataset of 16227 scanning transmission electron micrographs.
Autoencoders, Kernels, and Multilayer Perceptrons for Electron Micrograph Restoration and Compression
We present 14 autoencoders, 15 kernels and 14 multilayer perceptrons for electron micrograph restoration and compression.
Improving Electron Micrograph Signal-to-Noise with an Atrous Convolutional Encoder-Decoder
Our neural network was trained end-to-end to remove Poisson noise applied to low-dose ($\ll$ 300 counts ppx) micrographs created from a new dataset of 17267 2048$\times$2048 high-dose ($>$ 2500 counts ppx) micrographs and then fine-tuned for ordinary doses (200-2500 counts ppx).
