Compressive imaging of transient absorption dynamics on the femtosecond timescale
Denk, Ondřej ; Zheng, Kaibo LU ; Zigmantas, Donatas LU
and Žídek, Karel
LU
(2019)
In Optics Express
27(7).
p.10234-10246
- Abstract
Femtosecond spectroscopy is an important tool used for tracking rapid photoinduced processes in a variety of materials. To spatially map the processes in a sample would substantially expand the method’s capabilities. This is, however, difficult to achieve, due to the necessity of using low-noise detection and maintaining feasible data acquisition time. Here, we demonstrate realization of an imaging pump-probe setup, featuring sub-100 fs temporal resolution, by using a straightforward modification of a standard pump-probe technique, which uses a randomly structured probe beam. The structured beam, made by a diffuser, enabled us to computationally reconstruct the maps of transient absorption dynamics based on the concept of compressed... (More)
Femtosecond spectroscopy is an important tool used for tracking rapid photoinduced processes in a variety of materials. To spatially map the processes in a sample would substantially expand the method’s capabilities. This is, however, difficult to achieve, due to the necessity of using low-noise detection and maintaining feasible data acquisition time. Here, we demonstrate realization of an imaging pump-probe setup, featuring sub-100 fs temporal resolution, by using a straightforward modification of a standard pump-probe technique, which uses a randomly structured probe beam. The structured beam, made by a diffuser, enabled us to computationally reconstruct the maps of transient absorption dynamics based on the concept of compressed sensing. We demonstrate the setup’s functionality in two proof-of-principle experiments, where we achieve spatial resolution of 20 μm. The presented concept provides a feasible route to imaging, by using the pump-probe technique and ultrafast spectroscopy in general.
(Less)
- author
- Denk, Ondřej
; Zheng, Kaibo
LU
; Zigmantas, Donatas
LU
and Žídek, Karel
LU
- organization
- publishing date
- 2019
- type
- Contribution to journal
- publication status
- published
- subject
- in
- Optics Express
- volume
- 27
- issue
- 7
- pages
- 13 pages
- publisher
- Optical Society of America
- external identifiers
-
- scopus:85064378963
- pmid:31045167
- ISSN
- 1094-4087
- DOI
- 10.1364/OE.27.010234
- language
- English
- LU publication?
- yes
- id
- b2b3a08b-564a-4cef-a3f7-7b331027ccf8
- date added to LUP
- 2019-05-02 11:53:08
- date last changed
- 2024-05-28 08:36:45
@article{b2b3a08b-564a-4cef-a3f7-7b331027ccf8,
abstract = {{<p>Femtosecond spectroscopy is an important tool used for tracking rapid photoinduced processes in a variety of materials. To spatially map the processes in a sample would substantially expand the method’s capabilities. This is, however, difficult to achieve, due to the necessity of using low-noise detection and maintaining feasible data acquisition time. Here, we demonstrate realization of an imaging pump-probe setup, featuring sub-100 fs temporal resolution, by using a straightforward modification of a standard pump-probe technique, which uses a randomly structured probe beam. The structured beam, made by a diffuser, enabled us to computationally reconstruct the maps of transient absorption dynamics based on the concept of compressed sensing. We demonstrate the setup’s functionality in two proof-of-principle experiments, where we achieve spatial resolution of 20 μm. The presented concept provides a feasible route to imaging, by using the pump-probe technique and ultrafast spectroscopy in general.</p>}},
author = {{Denk, Ondřej and Zheng, Kaibo and Zigmantas, Donatas and Žídek, Karel}},
issn = {{1094-4087}},
language = {{eng}},
number = {{7}},
pages = {{10234--10246}},
publisher = {{Optical Society of America}},
series = {{Optics Express}},
title = {{Compressive imaging of transient absorption dynamics on the femtosecond timescale}},
url = {{http://dx.doi.org/10.1364/OE.27.010234}},
doi = {{10.1364/OE.27.010234}},
volume = {{27}},
year = {{2019}},
}