Laser spectroscopy & imaging

Decades of experience and close relationships with researchers enabled to create laser systems designed for specific laser spectroscopy and imaging applications.

Spectroscopy & Imaging
Photoacoustics

Laser sources for photoacoustic imaging

Photoacoustic imaging is one of the fastest-growing research areas
of non-invasive, high-resolution and high-contrast visualization of both superficial and deep tissues.

This method has a number of advantages over widely used conventional research and diagnostic methods as unlike X-ray, it does not use hazardous irradiation and has a significantly higher imaging resolution compared to conventional ultrasound. Photoacoustic imaging is proven to be very effective in diagnosing breast tumors, skin cancer, thyroid nodules, osteoarthritis and rheumatoid arthritis, early diagnosis of blood vessel disorders and many more. Photoacoustic imaging can also be used for visualization of non-living objects, such as nondestructive inspection of the internal structure and property changes of composite materials and food inspection.

Photoacoustic imaging employs the physical property of molecules to briefly heat up and cool down while absorbing a short pulse of light
(couple of nanoseconds) of a certain wavelength. While heating up, molecules expand and while cooling down, they contract. This creates an ultrasound wave which can be captured by ultrasound transducers enabling the ability to locate the origin of sound. The penetration of light into tissue depends on the tissue properties and the pulse energy of the light. Moreover, different chromophores in the tissue can absorb light of different wavelengths, thus giving functional visual information.

Photoacoustic image of the upper torso and brain of a female mouse

Photoacoustic image of the upper torso and brain of a female mouse.

Courtesy of PhotoSound Technologies, Inc.

Comparison table of photoacoustic imaging sources

ModelAvailable output wavelengthsPulse duration 1)Max repetition rateMax pulse energy
Diode pumped laser source
650 – 1300 nm (signal)
1065 – 2600 nm (idler)
2 – 5 ns100 Hz90 mJ
Mobile flashlamp pumped laser source
660 – 1320 nm (signal)
330 – 659 nm (SH)
1065 – 2300 nm (idler)
3 – 5 ns20 Hz180 mJ
660 – 1064 nm (signal) 2)
330 – 530 nm (SH) 3)
1065 – 2300 nm (idler)
3 – 5 ns10 Hz250 mJ
Table-top flashlamp pumped laser source
660 – 1320 nm (signal)
330 – 659 nm (SH)
1065 – 2300 nm (idler)
3 – 5 ns20 Hz150 mJ
660 – 1064 nm (signal) 2)
330 – 530 nm (SH) 3)
1065 – 2300 nm (idler)
3 – 5 ns10 Hz230 mJ
ModelAvailable output wavelengthsPulse duration 1)Max repetition rateMax pulse energy
  1. FWHM measured with photodiode featuring 1 ns rise time and 300 MHz bandwidth oscilloscope.
  2. Optional signal extended range: 660 – 1320 nm.
  3. When extended signal range is selected, wavelength range is 330 – 659 nm.

Products range

Sum frequency generation spectroscopy systems

Vibrational Spectroscopy (SFG-VS) is powerful and versatile method for in-situ investigation of surfaces and interfaces. In SFG-VS experiment a pulsed tunable infrared IR (ωIR) laser beam is mixed with a visible VIS (ωVIS) beam to produce an output at the sum frequency (ωSFG = ωIR + ωVIS). SFG is second order nonlinear process, which is allowed only in media without inversion symmetry.

At surfaces or interfaces inversion symmetry is necessarily broken, that makes SFG highly surface specific. As the IR wavelength is scanned, active vibrational modes of molecules at the interface give a resonant contribution to SF signal. The resonant enhancement provides spectral information on surface characteristic vibrational transitions.

Vibrational sum frequency generation (SFG) spectroscopy holds several important advantages over traditional spectroscopy methods for the molecular level analysis of interfaces, including (i) surface sensitivity, (ii) vibrational specificity, and (iii) the possibility to extract detailed information on the ordering and orientation of molecular groups at the interface by analysis of polarization-dependent SFG spectra.

SFG signal generation diagram (a) and the molecular energy level diagram for the SFG process (b)

SFG signal generation diagram (a) and the molecular energy level diagram for the SFG process (b).

Narrowband picosecond scanning SFG spectrometer

In order to get SFG spectrum during measurement wavelength of narrowband mid-IR pulse is changed point-by-point throughout the range of interest.  Narrowband SFG signal is recorded by the time-gated photomultiplier. Energy of each mid-IR, VIS and SFG pulse is measured. After the measurement, the SFG spectrum can be normalised according to IR and VIS energy. Spectral resolution is determined by the bandwidth of the mid-IR light source. The narrower mid-IR pulse bandwidth, the better the SFG spectral resolution. Separate vibrational modes are excited during the measurement.

Broadband femtosecond SFG spectrometer

A broadband mid-IR pulse is mixed with a narrowband VIS pulse. The result is broadband SFG spectrum which is recorded using a monochromator and a sensitive CCD camera. The full spectrum is acquired simultaneously by integrating signal over time. Spectral resolution is determined by the bandwidth of the VIS pulse and on the monochromator-camera combination. The narrower the bandwidth of VIS pulse, the better the SFG spectral resolution.

Diagram of Narrowband picosecond scanning SFG spectrometer.

Diagram of Narrowband picosecond scanning SFG spectrometer.

Diagram of Broadband femtosecond SFG spectrometer

Diagram of Broadband femtosecond SFG spectrometer.

Comparison of different SFG spectrometres

Narrowband Picosecond Scanning SpectrometerBroadband Femtosecond High Resolution Spectrometer
Narrowband mid-IR excitation, only one band is excited. Coupled states can be separated.Simultaneous exsitation and recording of broad vibration spectrum with high resolution.
High mid-IR pulse energy. Less influence of IR absorbtion in the air.High mid-IR intensity at low pulse energy – suitable for biological or other water containing samples.
No reference spectrum needed, IR energy measured at each spectral point.Optically coupled IR and VIS channels. Reduced complexity and increased stability of the system.

Products range

Publications

A fast all-optical 3D photoacoustic scanner for clinical vascular imaging

N. T. Huynh, E. Zhang, O. Francies, F. Kuklis, T. Allen, J. Zhu et al., Nature Biomedical Engineering (2024). DOI: 10.1038/s41551-024-01247-x.

An Investigation of Signal Preprocessing for Photoacoustic Tomography

I. Huen, R. Zhang, R. Bi, X. Li, M. Moothanchery, and M. Olivo, Sensors 23 (1), 510 (2023). DOI: 10.3390/s23010510.

Bimetallic Hyaluronate-Modified Au@Pt Nanoparticles for Noninvasive Photoacoustic Imaging and Photothermal Therapy of Skin Cancer

H. H. Han, S. Kim, J. Kim, W. Park, C. Kim, H. Kim et al., ACS Applied Materials & Interfaces 15 (9), 11609-11620 (2023). DOI: 10.1021/acsami.3c01858.

Characterizing a photoacoustic and fluorescence imaging platform for preclinical murine longitudinal studies

W. R. Thompson, H. F. Brecht, V. Ivanov, A. M. Yu, D. S. Dumani, D. J. Lawrence et al., Journal of Biomedical Optics 28 (3), 036001 (2023). DOI: 10.1117/1.JBO.28.3.036001.

Deep Learning Enhances Multiparametric Dynamic Volumetric Photoacoustic Computed Tomography In Vivo (DL-PACT)

S. Choi, J. Yang, S. Y. Lee, J. Kim, J. Lee, W. J. Kim et al., Advanced Science 10 (1), 2202089 (2023). DOI: 10.1002/advs.202202089.

Fast photoacoustic imaging technology for deep structure information of finger

T. Meng, H. Li, and Y. Liu, in Ninth Symposium on Novel Photoelectronic Detection Technology and Applications, J. Chu, W. Liu, and H. Xu, eds. (SPIE, 2023), pp. 126176E. DOI: 10.1117/12.2666706.

Fully three-dimensional sound speed-corrected multi-wavelength photoacoustic breast tomography

M. Dantuma, F. Lucka, S. C. Kruitwagen, A. Javaherian, L. Alink, R. P. P. van Meerdervoort et al., https://arxiv.org/abs/2308.06754. DOI: 10.48550/arXiv.2308.06754.

LED-based Schlieren system for full-field photoacoustic wave acquisition and image reconstruction

Y. Ojeda‑Morales, D. Hernandez‑Lopez, and G. Martínez‑Ponce, Opt. Continuum 2 (9), 2007-2016 (2023). DOI: 10.1364/OPTCON.498143.

Microfluidic Fabrication of Highly Efficient Hydrogel Optical Fibers for In Vivo Fiber-Optic Applications

G. Fitria, M. Kwon, H. Lee, A. Singh, K. Yoo, Y. Go et al., Advanced Optical Materials 11 (18), 2300453 (2023). DOI: 10.1002/adom.202300453.

Photoacoustic tomography with a model-based approach involving realistic detector properties

P. Warbal, and R. K. Saha, Results in Optics 13, 100528 (2023). DOI: 10.1016/j.rio.2023.100528.

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