H. Hörber et al.
Single 131
Molecules
Photonic Force Microscopy: A New Tool Providing New Methods to
Study Membranes at the Molecular Level
RESEARCH PAPER
The PFM contains two position-sensing systems to
determine the position of the trapped sphere relative to that
of the potential minimum. The first sensor records the
fluorescence intensity emitted by fluorophores inside the
trapped sphere, which are excited by the trapping laser via a
two-photon process. The fluorescence intensity provides an
axially sensitive position signal with millisecond resolution
[
7]. The second sensor is based on the interference of the
forward scattered light from the trapped particle with the un-
scattered laser light at a quadrant photodiode [8]. This
provides a fast three-dimensional recording of the particle's
position, and is most sensitive perpendicular to the optical
axis. The position of the bead can be measured with a
spatial resolution of better than one nanometer at a
temporal resolution in the microsecond range. Depending
on the application, either one or both of these detection
systems can be used.
At room temperature the thermal position fluctuations of
the trapped bead in weak trapping potentials reach several
hundred nanometers. At first glance these fluctuations
seem to be disturbing noise that limits the resolution.
However, due to the speed and resolution of the position
sensor based on the forward-scattered light detection, the
fluctuations of the bead can be tracked directly, opening
new ways to analyzing the interaction of the bead with its
environment.
The PFM (Fig.1) development is based on an inverted
optical microscope with a high numerical aperture objective
lens providing a high resolution optical image of the
investigated structures. The laser light is coupled into the
microscope using techniques known from laser scanning
microscopy and is focussed by the objective lens into the
Fig. 3. PFM imaging using a 200nm, fluorophore labelled
latex bead and the two-photon fluorescence as position
sensor. Optical DIC (a, b) and PFM (c) images of a small
neurite (N) growing at a branching point (B) from a major
neurite (M) of a glutaraldehyde fixed rat hippocampal
neuron. The PFM image was acquired in constant height
mode, with a loading force of smaller than 5pN (recording
time about 30s).
specimen plane. A 1064 nm Nd:YVO laser is used since
4
neither water nor biological material have significant
absorption at this wavelength. A dichroic mirror behind the
condenser deflects the laser light onto the quadrant
photodiode. The difference between the left and right half of
the diode provides the x-, the difference between upper and
lower half the y-, and the sum signal the z-position [8]. For
displacements small relative to the focal dimensions, the
signals change linearly with the position of the bead in the
trap.
The trapped particle acts as a Brownian particle in a
potential well and its position distribution is therefore
described by the Boltzmann-distribution. Such distributions
p(r) are readily measured with the high spatial and temporal
resolution available to the PFM. Thus allowing for the
calibration of the three-dimensional trapping potential E(r)
without any further knowledge but the temperature, using
Imaging
Scanning either the laser focus or the sample, the PFM can
be used in a manner similar to the AFM to image surface
topographies. The applied forces range from a few
piconewtons down to fractions of one piconewton. The size
of the smallest distinguishable structure is given by the
diameter of the sphere, which can be some ten nanometers
for metal beads or several hundreds of nanometers for latex
or glass beads. Figure 3 shows an image of a neuronal
dendrite obtained operating the PFM in constant height
mode with a maximal force of about 1 pN using a latex bead
with a diameter of »200 nm. Beside the constant height
mode, other imaging modes known from AFM can be
implemented using a feedback loop. Furthermore, due to
the large thermal fluctuations of the bead a new imaging
mode becomes possible with the PFM by observing the
spatial distribution of the thermal fluctuations of the bead,
which avoids stationary objects. In this way it is possible, to
image for example the 3-D structure of polymer networks.
Additionally, detailed information about the interaction
potential between the bead and the surface of the objects
[
9]
E(r)= -k T*ln p(r) + E
B
0.
A precision of one-tenth the thermal energy k T is achieved
B
with a sufficient number of statistically independent position
readings. Figure 2 shows a typical isoenergy surface of the
trapping potential at »5 k T.
B