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Time-gating and other fluorescence suppression techniques




Fluorescence interference and the use of different excitation wavelengths


Fluorescence interference is a common challenge when using Raman techniques. The fluorescence interference can raise the baseline levels of spectra decreasing the SNR and in worst cases the interference can completely obscure or “swamp” the Raman signals. One common method of limiting the amount of fluorescence interference is to use longer wavelength excitation. This poses its own challenges as the Raman scattering intensity is related to the fourth power of the frequency of the excitation laser (1) (2). Using a longer wavelength excitation laser usually decreases the amount of fluorescence interference but it also dramatically decreases the Raman signal intensities.



Increasing excitation laser wavelength decreases fluorescence interference but it also significantly decreases Raman signal intensities.


Since molecular fluorescence is mostly present at wavelengths longer than 300nm, UV resonance Raman spectroscopy can produce promising measurement results. A downside is that the UV excitation can easily induce sample degradation and strong absorption in the UV region might decrease observed Raman intensities. (3) (4) (5) (6)

In addition to choosing the most optimal excitation wavelengths, many other methods have been developed for reducing the severity of fluorescence interference. Fluorescence suppression techniques can be classified into five categories (7) (2): 

Technology comparison classification

Time domain methods


Time domain methods, including time-gating, make use of the temporal differences of fluorescence emission and Raman scattering. In some cases, these techniques enable the use of lower wavelength excitation lasers which leads to higher Raman scattering intensities while rejecting most of the fluorescence interference. (8) (9)

Time-gating techniques often use pulsed lasers which produce pulse-like responses (see the figure below) which are then selectively sampled. Fast detectors can be used to collect information during moments of time where most of the Raman scattering is located while excluding most of the fluorescence interference. This exclusion is most effectively realized when fluorescence has a long delay compared with Raman scattering i.e. when there is a minimal amount of temporal overlap with Raman scattering and fluorescence emission. Read more about SPAD based Timegated® fluorescence suppression techniques here [link]


Timegate CW Pulssikuva_2

Time-gated fluorescence suppression is based on temporal exclusion of fluorescence.


Modern SPAD based time-domain techniques have reached sub-nanosecond time-gating while keeping the benchtop device sizes compact without the explicit need for detector cooling. Modern SPAD detectors also enable sufficient spectral resolutions for most Raman applications. (10) (11) (2)


Frequency domain methods


Frequency domain and time domain methods are related to each other by Fourier transformation. Frequency domain methods are based on the different behaviors of fluorescence and Raman scattering under high frequency modulation. Raman scattering can follow the high frequency modulation of the excitation light almost instantly, unlike the slower fluorescence emission. These techniques aim to resolve the sample’s Raman scattering contribution while minimizing fluorescence interference. Frequency domain techniques can produce promising fluorescence suppression results, although the technique often requires a complicated system and may not work well over a large spectral range. Frequency domain techniques might also have difficulties in reducing statistical noise. Any noise in the fluorescence signal (e.g. shot noise) will contribute to the Raman spectrum and phase nulling techniques may require high Raman signal intensities to overcome the fluorescence noise. (7) (2) (12)


Wavelength domain methods


Wavelength domain methods make use of the fact that fluorescence has broader characteristics on a wide spectral range, and that fluorescence is quite insensitive to small excitation wavelength changes while Raman signals are coupled with the excitation wavelength. Common wavelength domain methods include wavelength modulated Raman spectroscopy (SERDS) and subtracted shifted Raman spectroscopy (SSRS). (7) (2) (12)

SERDS makes use of at least two slightly different excitation wavelengths. As fluorescence is less sensitive to shifts in excitation wavelength, the fluorescence is mostly cancelled out in the difference spectrum resulting from these excitation wavelengths. Several mathematical methods can then be used to construct conventional Raman spectra from the raw difference spectra. Most often the resulting Raman spectra have improved spectral quality and less fluorescence interference. (7) (12) (2)

SSRS is a similar technique to SERDS, but instead of requiring a tunable laser source, the spectra are acquired at several different closely spaced spectrometer positions. Wavelength domain techniques also include wavelength modulated Raman spectroscopy (WMRS) where the excitation wavelength is modulated slightly while acquiring the Raman signal. SERDS, SSRS and WMRS require a computational data processing step after data acquisition and the spectral reproduction has a strong dependence on the noise level of the spectra. (7) (12) (2) (13)


Computational methods


Mathematical methods are standard techniques for suppressing fluorescence interference. These methods can in some cases produce artefacts in processed data which could affect the validity of the collected information (13). When fluorescence emission has already distorted the measured spectra, computational methods have a very limited capability for improving SNR (2).

Automated baseline correction methods may produce less than optimized results and it can be challenging to find baseline correction parameters that fit a wider variety of different sample types (2). Sample type specific tweaking of the correction parameters may be required. Computational baseline correction techniques are still very useful for illustration purposes and they can be combined with most other fluorescence suppression techniques as a post processing option.  


Other fluorescence suppression methods



Photobleaching is a technique that can reduce fluorescence interference and it can be combined with several other fluorescence suppression techniques. Photobleaching can be achieved by exposing a sample to laser light prior to a measurement. This may quench fluorescence effects while keeping the Raman scattering process unchanged. The laser used for photobleaching is often the same laser that is used for the Raman excitation and it should be noted that high photobleaching laser powers may cause sample alteration. Repeatable photobleaching for quantitative work may be challenging to achieve and photobleaching may deteriorate the performance of calibration models. (7) (14) (15)


SERS (surface enhanced Raman spectroscopy) techniques may also improve results by quenching fluorescence effects and by increasing the Raman signal intensities. This surface sensitive technique can be implemented by using suitable substrates or nanostructures. SERS can be combined with other fluorescence suppression techniques and quite recently the combination of SPAD based time-gated Raman and SERS has produced promising results. (16) (17) (18)


SORS (spatially offset Raman spectroscopy) may be a useful technique for measuring turbid or layered samples. This technique uses a spatial offset between the illumination and the collection regions on the surface of the sample. SORS enables measurements from different layers of the sample (e.g. through a sample container) while reducing fluorescence and other signal contributions of layers that are not of interest. (19) (20)


CARS (coherent anti-Stokes Raman spectroscopy) makes use of two (or three) lasers that are used to irradiate a sample simultaneously. A coherent Raman response can be generated by tuning the frequencies of the two beams to match a particular molecular vibration. The technique is often tuned for collecting vibrationally selective data which enables fast acquisition times but only grants very selective narrowband information. The coherent Raman response usually has a higher intensity than conventional Raman and it has minimal fluorescence issues as anti-Stokes scattering occurs at a different wavelength range from fluorescence. The spectra may still include an interfering non-resonant background. CARS can produce promising results, but the multi-laser setup can be complex and the complexity can increase cost and produce some challenges for routine measurements (e.g. alignment drift between the two collinear beams). (21) (22) (2)

Anti-Stokes Raman measurements can also be carried out without a CARS setup and the anti-Stokes Raman shift region may have an advantage of containing a lower amount of fluorescence. A challenge with non-CARS anti-Stokes measurements is that in RT conditions the anti-Stokes Raman signal intensities are usually low. In high temperature measurements the anti-Stokes Raman signal contributions are higher and these responses can be useful for data acquisition and for e.g. temperature determinations. (23) (24) (25) 




The most suitable fluorescence suppression technique will vary depending on the studied application. Some techniques are only applicable for a limited range of application types and the techniques may require expensive measurement setups or extensive knowledge to operate. Other techniques (e.g. computational methods) may be applicable for a very wide range of applications but the ultimate fluorescence suppression capabilities may remain limited. When deciding on suppression methods, the decision process might include the following points: What are the current and future application needs, sample types, budgetary limits, the required know-how to operate the device, the size and portability of the device and any potential combinations of different suppression techniques. 

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