Demonstration of an AI-driven workflow for autonomous high-resolution scanning microscopy
Modern scanning microscopes can image materials with up to sub-atomic spatial and sub-
picosecond time resolutions, but these capabilities come with large volumes of data, which …
picosecond time resolutions, but these capabilities come with large volumes of data, which …
A framework for dynamic image sampling based on supervised learning
Sparse sampling schemes can broadly be classified into two main categories: static
sampling where the sampling pattern is predetermined, and dynamic sampling where each …
sampling where the sampling pattern is predetermined, and dynamic sampling where each …
Learning to scan: A deep reinforcement learning approach for personalized scanning in CT imaging
Computed Tomography (CT) takes X-ray measurements on the subjects to reconstruct
tomographic images. As X-ray is radioactive, it is desirable to control the total amount of …
tomographic images. As X-ray is radioactive, it is desirable to control the total amount of …
[HTML][HTML] Deep learning approach for dynamic sparse sampling for high-throughput mass spectrometry imaging
Abstract A Supervised Learning Approach for Dynamic Sampling (SLADS) addresses
traditional issues with the incorporation of stochastic processes into a compressed sensing …
traditional issues with the incorporation of stochastic processes into a compressed sensing …
Dynamic image sampling using a novel variance based probability mass function
Incremental sampling can be applied in scientific imaging techniques whenever the
measurements are taken incrementally, ie, one pixel position is measured at a time. It can be …
measurements are taken incrementally, ie, one pixel position is measured at a time. It can be …
Deep Learning Approach for Dynamic Sampling for Multichannel Mass Spectrometry Imaging
Mass Spectrometry Imaging (MSI), using traditional rectilinear scanning, takes hours to days
for high spatial resolution acquisitions. Given that most pixels within a sample's field of view …
for high spatial resolution acquisitions. Given that most pixels within a sample's field of view …
Dynamic sampling for scanned microscopy modalities
Z Varley, GS Rohrer, M De Graef - Materials Characterization, 2024 - Elsevier
We present an unsupervised heuristic-based batched dynamic algorithm for pixel-wise
image sampling in a variety of scanned imaging modalities. Our algorithm offers improved …
image sampling in a variety of scanned imaging modalities. Our algorithm offers improved …
Data fusion methods for materials awareness
Recent advances in the development of artificial intelligence and machine learning (AI/ML)
techniques have shown great potential for enhancing the modeling and characterization of …
techniques have shown great potential for enhancing the modeling and characterization of …
Adaptive sampling for scanning pixel cameras
Y Duman, JY Guillemaut, S Hadfield - arXiv preprint arXiv:2207.13460, 2022 - arxiv.org
A scanning pixel camera is a novel low-cost, low-power sensor that is not diffraction limited.
It produces data as a sequence of samples extracted from various parts of the scene during …
It produces data as a sequence of samples extracted from various parts of the scene during …
[图书][B] Deep learning approach for dynamic sampling for high-throughput nano-desi msi
DS Helminiak - 2021 - search.proquest.com
Abstract Mass Spectrometry Imaging (MSI) extracts molecular mass data to form
visualizations of molecular spatial distributions. The involved scanning procedure is …
visualizations of molecular spatial distributions. The involved scanning procedure is …