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https://dx.doi.org/10.48550/ar...
Article . 2022
License: arXiv Non-Exclusive Distribution
Data sources: Datacite
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Method for virtual optical sectioning and tomography utilizing shallow depth of field

Authors: Timur E. Gureyev; Harry M. Quiney; Leslie J. Allen;

Method for virtual optical sectioning and tomography utilizing shallow depth of field

Abstract

A method is proposed for high-resolution, three-dimensional reconstruction of internal structures of objects from planar transmission images. The described approach can be used with any form of radiation or matter waves, in principle, provided that the depth of field is smaller than the thickness of the sample. The physical optics basis for the method is elucidated, and the reconstruction algorithm is presented in detail. A simulated example demonstrates an application of the method to three-dimensional electron transmission imaging of a nanoparticle under realistic radiation dose and spatial resolution constraints. It is envisaged that the method can be applicable in high-resolution transmission electron microscopy, soft x-ray microscopy, ultrasound imaging, and other areas.

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Keywords

Microscopy, Image and Video Processing (eess.IV), FOS: Physical sciences, Electrical Engineering and Systems Science - Image and Video Processing, Physics - Medical Physics, Imaging, Three-Dimensional, FOS: Electrical engineering, electronic engineering, information engineering, Medical Physics (physics.med-ph), Tomography, Algorithms, Physics - Optics, Optics (physics.optics)

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
Green