Ghost imaging second harmonic generation microscopy
Abstract
Second harmonic generation (SHG) microscopy is useful for visualizing interfaces and sub-structures within a wide range of materials due to the propensity for SHG to occur in non-centrosymmetric environments. However, since SHG is a nonlinear process generally necessitating small focal sizes for higher peak powers, a raster scanning approach is usually needed to build an SHG image over a significant sample size. While raster scanning is effective, there is a cost in terms of the time needed to acquire the image and, also, some materials cannot withstand the higher optical intensities within the small focal volume. As such, we describe a SHG microscopy approach based on ghost imaging (GI), which enables imaging data to be collected in parallel rather than sequentially as in raster scanning techniques. We experimentally demonstrate the approach and combine GI-SHG with compressive sensing to make further substantial gains in reducing the amount of sampling required for image reconstruction. Furthermore, GI-SHG is shown to have significant advantages for imaging in highly scattering environments, partly because GI is a background-free approach requiring spatial correlations between photons that travel two paths, with one path entirely devoid of sample interaction. This basic property of GI means that only the photonsmore »
- Authors:
-
- Argonne National Lab. (ANL), Lemont, IL (United States)
- Publication Date:
- Research Org.:
- Argonne National Laboratory (ANL), Argonne, IL (United States)
- Sponsoring Org.:
- USDOE Laboratory Directed Research and Development (LDRD) Program; USDOE Office of Science (SC), Basic Energy Sciences (BES)
- OSTI Identifier:
- 1632308
- Alternate Identifier(s):
- OSTI ID: 1617983
- Grant/Contract Number:
- AC02-06CH11357
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Applied Physics Letters
- Additional Journal Information:
- Journal Volume: 116; Journal Issue: 19; Journal ID: ISSN 0003-6951
- Publisher:
- American Institute of Physics (AIP)
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 47 OTHER INSTRUMENTATION
Citation Formats
Wen, Xiewen, Adhikari, Sushovit, Cortes, Cristian L., Gosztola, David J., Gray, Stephen K., and Wiederrecht, Gary P. Ghost imaging second harmonic generation microscopy. United States: N. p., 2020.
Web. doi:10.1063/1.5144690.
Wen, Xiewen, Adhikari, Sushovit, Cortes, Cristian L., Gosztola, David J., Gray, Stephen K., & Wiederrecht, Gary P. Ghost imaging second harmonic generation microscopy. United States. https://doi.org/10.1063/1.5144690
Wen, Xiewen, Adhikari, Sushovit, Cortes, Cristian L., Gosztola, David J., Gray, Stephen K., and Wiederrecht, Gary P. Mon .
"Ghost imaging second harmonic generation microscopy". United States. https://doi.org/10.1063/1.5144690. https://www.osti.gov/servlets/purl/1632308.
@article{osti_1632308,
title = {Ghost imaging second harmonic generation microscopy},
author = {Wen, Xiewen and Adhikari, Sushovit and Cortes, Cristian L. and Gosztola, David J. and Gray, Stephen K. and Wiederrecht, Gary P.},
abstractNote = {Second harmonic generation (SHG) microscopy is useful for visualizing interfaces and sub-structures within a wide range of materials due to the propensity for SHG to occur in non-centrosymmetric environments. However, since SHG is a nonlinear process generally necessitating small focal sizes for higher peak powers, a raster scanning approach is usually needed to build an SHG image over a significant sample size. While raster scanning is effective, there is a cost in terms of the time needed to acquire the image and, also, some materials cannot withstand the higher optical intensities within the small focal volume. As such, we describe a SHG microscopy approach based on ghost imaging (GI), which enables imaging data to be collected in parallel rather than sequentially as in raster scanning techniques. We experimentally demonstrate the approach and combine GI-SHG with compressive sensing to make further substantial gains in reducing the amount of sampling required for image reconstruction. Furthermore, GI-SHG is shown to have significant advantages for imaging in highly scattering environments, partly because GI is a background-free approach requiring spatial correlations between photons that travel two paths, with one path entirely devoid of sample interaction. This basic property of GI means that only the photons that travel unimpeded through the sample preserve the spatial correlations needed to reconstruct the image, while more scattered photons do not contribute to the overall GI signal. Finally, we compare the image quality and sampling properties of three different reconstruction algorithms used for compressive sensing.},
doi = {10.1063/1.5144690},
journal = {Applied Physics Letters},
number = 19,
volume = 116,
place = {United States},
year = {Mon May 11 00:00:00 EDT 2020},
month = {Mon May 11 00:00:00 EDT 2020}
}
Web of Science
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