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Title: Electron Ghost Imaging

Abstract

Here in this paper, we report a demonstration of electron ghost imaging. A digital micromirror device directly modulates the photocathode drive laser to control the transverse distribution of a relativistic electron beam incident on a sample. Correlating the structured illumination pattern to the total sample transmission then retrieves the target image, avoiding the need for a pixelated detector. In our example, we use a compressed sensing framework to improve the reconstruction quality and reduce the number of shots compared to raster scanning a small beam across the target. Finally, compressed electron ghost imaging can reduce both acquisition time and sample damage in experiments for which spatially resolved detectors are unavailable (e.g., spectroscopy) or in which the experimental architecture precludes full frame direct imaging.

Authors:
 [1];  [2];  [2];  [1];  [3];  [2];  [1]
  1. SLAC National Accelerator Lab., Menlo Park, CA (United States)
  2. Univ. of California, Los Angeles, CA (United States). Department of Physics and Astronomy
  3. Stanford Univ., CA (United States). Department of Electrical Engineering
Publication Date:
Research Org.:
SLAC National Accelerator Lab., Menlo Park, CA (United States)
Sponsoring Org.:
USDOE Office of Science (SC)
OSTI Identifier:
1475397
Alternate Identifier(s):
OSTI ID: 1469419
Grant/Contract Number:  
AC02-76SF00515; DMR-1548924
Resource Type:
Journal Article: Accepted Manuscript
Journal Name:
Physical Review Letters
Additional Journal Information:
Journal Volume: 121; Journal Issue: 11; Journal ID: ISSN 0031-9007
Publisher:
American Physical Society (APS)
Country of Publication:
United States
Language:
English
Subject:
43 PARTICLE ACCELERATORS

Citation Formats

Li, S., Cropp, F., Kabra, K., Lane, T. J., Wetzstein, G., Musumeci, P., and Ratner, D.. Electron Ghost Imaging. United States: N. p., 2018. Web. doi:10.1103/physrevlett.121.114801.
Li, S., Cropp, F., Kabra, K., Lane, T. J., Wetzstein, G., Musumeci, P., & Ratner, D.. Electron Ghost Imaging. United States. doi:10.1103/physrevlett.121.114801.
Li, S., Cropp, F., Kabra, K., Lane, T. J., Wetzstein, G., Musumeci, P., and Ratner, D.. Tue . "Electron Ghost Imaging". United States. doi:10.1103/physrevlett.121.114801.
@article{osti_1475397,
title = {Electron Ghost Imaging},
author = {Li, S. and Cropp, F. and Kabra, K. and Lane, T. J. and Wetzstein, G. and Musumeci, P. and Ratner, D.},
abstractNote = {Here in this paper, we report a demonstration of electron ghost imaging. A digital micromirror device directly modulates the photocathode drive laser to control the transverse distribution of a relativistic electron beam incident on a sample. Correlating the structured illumination pattern to the total sample transmission then retrieves the target image, avoiding the need for a pixelated detector. In our example, we use a compressed sensing framework to improve the reconstruction quality and reduce the number of shots compared to raster scanning a small beam across the target. Finally, compressed electron ghost imaging can reduce both acquisition time and sample damage in experiments for which spatially resolved detectors are unavailable (e.g., spectroscopy) or in which the experimental architecture precludes full frame direct imaging.},
doi = {10.1103/physrevlett.121.114801},
journal = {Physical Review Letters},
number = 11,
volume = 121,
place = {United States},
year = {Tue Sep 11 00:00:00 EDT 2018},
month = {Tue Sep 11 00:00:00 EDT 2018}
}

Journal Article:
Free Publicly Available Full Text
This content will become publicly available on September 11, 2019
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Works referenced in this record:

Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information
journal, February 2006

  • Candes, E.J.; Romberg, J.; Tao, T.
  • IEEE Transactions on Information Theory, Vol. 52, Issue 2, p. 489-509
  • DOI: 10.1109/TIT.2005.862083

Single-pixel imaging via compressive sampling
journal, March 2008

  • Duarte, Marco F.; Davenport, Mark A.; Takhar, Dharmpal
  • IEEE Signal Processing Magazine, Vol. 25, Issue 2, p. 83-91
  • DOI: 10.1109/MSP.2007.914730