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Title: Photon-limited ptychography of 3D objects via Bayesian reconstruction

Abstract

Here, we introduce a new Bayesian framework for ptycho-tomographic imaging of 3D objects under photon-limited conditions. This approach is significantly more robust to measurement noise by incorporating prior information on the probabilities of the object features and the measurement process into the reconstruction problem, and it can improve both temporal and spatial resolution of current and future ptychography instruments. We use the alternating direction method of multipliers to solve the proposed optimization problem, where the ptychography and tomography subproblems are solved separately with the conjugate-gradient method. The effectiveness of the framework is demonstrated by reconstructing a synthetic 3D integrated chip with a significantly reduced photon-budget for the simulated experiment.

Authors:
ORCiD logo [1]; ORCiD logo [2];  [2];  [2];  [2];  [1]; ORCiD logo [3]
  1. MAX IV Lab., Fotongatan, Lund (Sweden)
  2. Argonne National Lab. (ANL), Lemont, IL (United States)
  3. Argonne National Lab. (ANL), Lemont, IL (United States); Northwestern Univ., Evanston, IL (United States)
Publication Date:
Research Org.:
Argonne National Lab. (ANL), Argonne, IL (United States)
Sponsoring Org.:
Swedish Research Council (SRC); U.S. Department of National Intelligence (United States); USDOE Office of Science (SC), Basic Energy Sciences (BES) (SC-22)
OSTI Identifier:
1571470
Grant/Contract Number:  
AC02-06CH11357
Resource Type:
Accepted Manuscript
Journal Name:
OSA Continuum
Additional Journal Information:
Journal Volume: 2; Journal Issue: 10; Journal ID: ISSN 2578-7519
Country of Publication:
United States
Language:
English

Citation Formats

Nikitin, Viktor, Aslan, Selin, Yao, Yudong, Biçer, Tekin, Leyffer, Sven, Mokso, Rajmund, and Gürsoy, Doğa. Photon-limited ptychography of 3D objects via Bayesian reconstruction. United States: N. p., 2019. Web. doi:10.1364/OSAC.2.002948.
Nikitin, Viktor, Aslan, Selin, Yao, Yudong, Biçer, Tekin, Leyffer, Sven, Mokso, Rajmund, & Gürsoy, Doğa. Photon-limited ptychography of 3D objects via Bayesian reconstruction. United States. doi:10.1364/OSAC.2.002948.
Nikitin, Viktor, Aslan, Selin, Yao, Yudong, Biçer, Tekin, Leyffer, Sven, Mokso, Rajmund, and Gürsoy, Doğa. Tue . "Photon-limited ptychography of 3D objects via Bayesian reconstruction". United States. doi:10.1364/OSAC.2.002948. https://www.osti.gov/servlets/purl/1571470.
@article{osti_1571470,
title = {Photon-limited ptychography of 3D objects via Bayesian reconstruction},
author = {Nikitin, Viktor and Aslan, Selin and Yao, Yudong and Biçer, Tekin and Leyffer, Sven and Mokso, Rajmund and Gürsoy, Doğa},
abstractNote = {Here, we introduce a new Bayesian framework for ptycho-tomographic imaging of 3D objects under photon-limited conditions. This approach is significantly more robust to measurement noise by incorporating prior information on the probabilities of the object features and the measurement process into the reconstruction problem, and it can improve both temporal and spatial resolution of current and future ptychography instruments. We use the alternating direction method of multipliers to solve the proposed optimization problem, where the ptychography and tomography subproblems are solved separately with the conjugate-gradient method. The effectiveness of the framework is demonstrated by reconstructing a synthetic 3D integrated chip with a significantly reduced photon-budget for the simulated experiment.},
doi = {10.1364/OSAC.2.002948},
journal = {OSA Continuum},
number = 10,
volume = 2,
place = {United States},
year = {2019},
month = {10}
}

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