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A Targeted Sampling Strategy for Compressive Cryo Focused Ion Beam Scanning Electron Microscopy

Title: A Targeted Sampling Strategy for Compressive Cryo Focused Ion Beam Scanning Electron Microscopy
Authors: Nicholls, D; Wells, J; Robinson, AW; Moshtaghpour, A; Kobylynska, M; Fleck, RA; Kirkland, AI; Browning, ND
Publisher Information: IEEE
Publication Year: 2023
Collection: The University of Liverpool Repository
Description: Cryo Focused Ion-Beam Scanning Electron Microscopy (cryo FIB-SEM) enables three-dimensional and nanoscale imaging of biological specimens via a slice and view mechanism. The FIB-SEM experiments are, however, limited by a slow (typically, several hours) acquisition process and the high electron doses imposed on the beam sensitive specimen can cause damage. In this work, we present a compressive sensing variant of cryo FIB-SEM capable of reducing the operational electron dose and increasing speed. We propose two Targeted Sampling (TS) strategies that leverage the reconstructed image of the previous sample layer as a prior for designing the next subsampling mask. Our image recovery is based on a blind Bayesian dictionary learning approach, i.e., Beta Process Factor Analysis (BPFA). This method is experimentally viable due to our GPU-based implementation of BPFA. Simulations on artificial compressive FIB-SEM measurements validate the success of proposed methods: the operational electron dose can be reduced by up to 20 times. These methods have large implications for the cryo FIB-SEM community, in which the imaging of beam sensitive biological materials without beam damage is crucial.
Document Type: conference object
Language: unknown
Relation: Nicholls, D orcid:0000-0003-1677-701X , Wells, J orcid:0000-0003-3507-458X , Robinson, AW orcid:0000-0002-1901-2509 , Moshtaghpour, A orcid:0000-0002-6751-2698 , Kobylynska, M, Fleck, RA, Kirkland, AI and Browning, ND orcid:0000-0003-0491-251X (2023) A Targeted Sampling Strategy for Compressive Cryo Focused Ion Beam Scanning Electron Microscopy In: ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023-6-4 - 2023-6-10.
DOI: 10.1109/icassp49357.2023.10096157
Availability: https://livrepository.liverpool.ac.uk/3183018/; https://doi.org/10.1109/icassp49357.2023.10096157
Accession Number: edsbas.A3E13E82
Database: BASE