150 4.7 Tools Using the Inelastic Scattering of Light
technique (see Chapter 3), which demonstrates the clear problem with attempting to detect
the scatter signal from small biomolecules directly. However, the interference term 2R|s|sin ϕ
only scales with V and so is far less sensitive to changes in scatterer size, and the detection of
this term is the physical basis of iSCAT.
An iSCAT microscope setup is similar to a standard confocal microscope, in terms of
generating a confocal laser illumination volume, which is laterally scanned across the
sample, though instead of detecting fluorescence emissions, the interference term intensity is
extracted by combining a quarter wave plate with a polarizing beamsplitter. This utilizes the
phase difference between the interference term with respect to the incident illumination and
rotates this phase to enable highly efficient reflection of just this component at the polarizing
beamsplitter, which is directed not through a pinhole as for the case of traditional confocal
microscopy but rather onto a fast CCD camera, such as a CMOS camera.
An enormous advantage of iSCAT, and similar interferometric imaging methods, over
fluorescence imaging is speed. Fluorescence imaging can achieve a significant imaging con
trast but to do so ultimately requires a sufficiently large sampling time window to collect
fluorescence emission photons. Fluorophores, as we have seen, are ultimately limited by the
number of photons that they can emit before irreversible photobleaching. Interferometric
scattering is not limited in this manner; in fact, the background signal in iSCAT scales with
~√N from Poisson sampling statistics, where N is the number of scattered photons detected;
therefore, since the signal scales with ~N, then the imaging contrast, which is a measure of
the signal-to-noise ratio, itself scales with √N. That is, a larger contrast is achievable by simply
increasing the power of laser illumination. There is no photon-related physical limit, rather a
biological one in increased sample damage at high laser powers.
4.7 TOOLS USING THE INELASTIC SCATTERING OF LIGHT
Scattering of light, as with all electromagnetic or matter waves, through biological matter is
primarily due to linear optical processes of two types, either elastic or inelastic. Rayleigh and
Mie scattering (see Chapter 3) are both elastic processes in which the emergent scattered
photon has the same wavelength as the incident photon. One of the key inelastic processes
with regard to biophysical techniques is Raman scattering. This results in the incident photon
either losing energy prior to scattering (Stokes scattering) or gaining energy (anti-Stokes
scattering). For most biophysical applications, this energy shift is due to vibrational and rota
tional energy changes in a scattering molecule in the biological sample (Figure 4.4c), though
in principle the Raman effect can also be due to interaction between the incident light and to
a variety of quasiparticles in the system, for example, acoustic matter waves (phonons). There
are also other useful inelastic light scattering processes that can also be applied to biophysical
techniques.
4.7.1 RAMAN SPECTROSCOPY
Raman scattering is actually one of the major sources of bleed-through noise in fluorescence
imaging experiments, which comes mainly from anti-Stokes scattering of the incident exci
tation light from water molecules. A Raman peak position is normally described in terms
of wavenumbers (2π/λ with typical units of cm−1), and in water, this is generally ~3400 cm−1
lower/higher than the equivalent excitation photon wavenumber depending on whether the
peak is Stokes or anti-Stokes (typically higher/lower wavelengths by ~20 nm for visible light
excitation).
Some dim fluorophores can have comparable Raman scatter amplitudes to the fluores
cence emission peak itself (i.e., this Raman peak is then the limiting noise factor). However, in
general, the Raman signal is much smaller than the fluorescence emission signal from typical
fluorophores, and only 1 in ~106 incident photons will be scattered by the Raman effect. But
a Raman spectrum, although weak, is a unique signature of a biomolecule with a big potential
KEY BIOLOGICAL
APPLICATIONS: ELASTIC
SCATTERING TOOLS
Estimating molecular shapes and
concentrations in vitro; label-free
monitoring of biomolecules.