Abstract
A simulation program was used to find these optimal parameters. The focal spot diameters of the individual lasers (pump and Stokes) were used to estimate the effective SRS signal focal spot and the (optical) spatial resolution. By calibrating the signal and noise propagation through an SRS system for a known molecule, we estimated the signal and noise input to the LIA. We used a low pass filter model to simulate the LIA behavior in order to find the optimal parameters (i.e. filter order and time constant).
Optimization was done for either image quality (expressed as contrast to noise ratio) or acquisition time. The targeted object size was first determined as a measure for the required resolution. The simulation output consisted of the LIA parameters, pixel dwell time and contrast to noise ratio.
In a second simulation we evaluated SRS imaging based on the same principles as the optimal setting simulation, i.e. the signals were propagated through an imaging system and LIA detection. The simulated images were compared to experimental SRS images of polystyrene beads.
Finally, the same software was used to simulate multiplexed SRS imaging. In this study we modeled a six-channel frequency-encoded multiplexed SRS system demodulated with six LIA channels. We evaluated the inter-channel crosstalk as a function of chosen LIA parameters, which in multiplex SRS imaging also needs to be considered.
These programs to optimize the contrast to noise ratio, acquisition speed, resolution and crosstalk will be useful for operating stimulated Raman scattering imaging setup, as well as for designing novel setups.
Original language | English |
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Article number | 10 |
Pages (from-to) | 1-13 |
Number of pages | 13 |
Journal | Journal of the European Optical Society. Rapid Publications |
Volume | 17 |
Issue number | 1 |
Early online date | 16 Jun 2021 |
DOIs | |
Publication status | Published - Dec 2021 |
Bibliographical note
Funding Information:We thank Dr. Benjamin Lochocki for his insightful comments. Project name: SRS-simulation. Project home page: https://zenodo.org/record/4108541#.X461s9BvbIU. Archived version: DOI https://doi.org/10.5281/zenodo.4108541. Operating system(s): Window10. Programming language: Matlab 2018b. Other requirements: Matlab communication toolbox. License: MIT License. Any restrictions to use by non-academics: None.
Funding Information:
We gratefully acknowledge financial support from the Netherlands Organization for Scientific Research (NWO) in the framework of the Technology Area COAST of the Fund New Chemical Innovations (Project “IMPACT”: 053.21.112), and NWO Groot grant to J. F. d. B., and from Laserlab Europe (EU Horizon 2020 program, Grant 654148).
Publisher Copyright:
© 2021, The Author(s).
Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
Funding
We thank Dr. Benjamin Lochocki for his insightful comments. Project name: SRS-simulation. Project home page: https://zenodo.org/record/4108541#.X461s9BvbIU. Archived version: DOI https://doi.org/10.5281/zenodo.4108541. Operating system(s): Window10. Programming language: Matlab 2018b. Other requirements: Matlab communication toolbox. License: MIT License. Any restrictions to use by non-academics: None. We gratefully acknowledge financial support from the Netherlands Organization for Scientific Research (NWO) in the framework of the Technology Area COAST of the Fund New Chemical Innovations (Project “IMPACT”: 053.21.112), and NWO Groot grant to J. F. d. B., and from Laserlab Europe (EU Horizon 2020 program, Grant 654148).
Funders | Funder number |
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EU Horizon 2020 program | 654148 |
Fund New Chemical Innovations | 053.21.112 |
MIT License | |
Laserlab-Europe | |
Nederlandse Organisatie voor Wetenschappelijk Onderzoek |
Keywords
- Imaging
- Lock-in amplifier
- Microscopy
- Modulation
- Multiplex
- Non-linear
- Optimization
- Raman
- Resolution
- Simulation