We present a novel optical transient absorption and reflection microscope based on a diffraction-limited pump pulse in combination with a wide-field probe pulse, for the spatiotemporal investigation of ultrafast population transport in thin films. The microscope achieves a temporal resolution down to 12 fs and simultaneously provides sub-10 nm spatial accuracy. We demonstrate the capabilities of the microscope by revealing an ultrafast excited-state exciton population transport of up to 32 nm in a thin film of pentacene and by tracking the carrier motion in p-doped silicon. The use of few-cycle optical excitation pulses enables impulsive stimulated Raman microspectroscopy, which is used for in situ verification of the chemical identity in the 100-2000 cm-1 spectral window. Our methodology bridges the gap between optical microscopy and spectroscopy, allowing for the study of ultrafast transport properties down to the nanometer length scale.
We present a novel optical transient absorption and reflection microscope based on a diffraction-limited pump pulse in combination with a wide-field probe pulse, for the spatiotemporal investigation of ultrafast population transport in thin films. The microscope achieves a temporal resolution down to 12 fs and simultaneously provides sub-10 nm spatial accuracy. We demonstrate the capabilities of the microscope by revealing an ultrafast excited-state exciton population transport of up to 32 nm in a thin film of pentacene and by tracking the carrier motion in p-doped silicon. The use of few-cycle optical excitation pulses enables impulsive stimulated Raman microspectroscopy, which is used for in situ verification of the chemical identity in the 100-2000 cm-1 spectral window. Our methodology bridges the gap between optical microscopy and spectroscopy, allowing for the study of ultrafast transport properties down to the nanometer length scale.
The performance
of all optoelectronics
materials is critically dependent on efficient carrier transport.
Our understanding of the associated transport characteristics commonly
relies on the interpretation of indirect measurements such as microwave
conductivity, photoluminescence quenching, terahertz photoconductivity,
or time-of-flight techniques, which determine charge carrier mobilities
or diffusion constants.[1−5] While these methods successfully describe transport in spatially
homogeneous materials, they lack access to nanoscopic morphologies
which can affect the deduced transport parameters. In particular,
next-generation semiconductors such as hybrid metal-halide perovskites,[6] organic semiconductors,[7] quantum dot films,[8,9] and monolayer 2D semiconductors[10] exhibit spatial heterogeneity on length scales
as small as 10 nm, which need to be accessed to fully understand and
optimize their charge carrier transport behavior in devices.Furthermore, the photophysics of optoelectronic materials
often involve sub-100 fs photodynamics, typically resolved using femtosecond
transient absorption or reflection spectroscopy.[7,11,12] These ultrafast processes are implicated
to be of relevance in spatial charge carrier (or exciton) transport,
but the associated transport parameters are indirectly inferred from
the obtained kinetics, which are intrinsically averaged over all morphologies
within the probe spot (50–100 μm).[7,13,14] In contrast, spatially localized measurement
techniques such as transient optical microscopy currently achieve
a spatial accuracy of σ ≈ 10–50 nm but are limited
to time resolutions of ∼100–300 fs, which are insufficient
to access the earliest photodynamics.[15−18]Here we overcome these
limitations and explore the impact of ultrafast
processes on the spatiotemporal carrier dynamics in optoelectronic
materials by introducing a time-resolved transient absorption and
reflection microscope capable of delivering sub-10 nm spatial accuracy
with temporal resolutions down to 12 fs. In thin pentacene films,
our technique resolves rapid spatial expansion occurring during the
singlet fission process, which is completed within 200 fs after photoexcitation.
In contrast, in p-doped silicon we observe charge carrier transport
dynamics matching previously published reports even at the earliest
time scales.[19,20] In addition, our high temporal
resolution allows us to chemically characterize the sample region
in a universal fashion via impulsive stimulated Raman scattering.Our experimental approach consists of an ultrafast pump–probe
experiment coupled to a single-objective wide-field optical microscope
(Figure a). Analogous
to our previously reported implementation of wide-field femtosecond
transient absorption microscopy,[12] we generate
temporally compressed broadband pulses spanning wavelengths from 520
to 640 nm (pump) and from 660 to 900 nm (probe). However, instead
of using wide-field pump pulses we now focus the pump pulses tightly
onto the sample by sending them through a high numerical aperture
(NA = 1.1) oil-immersion objective, which results in a near-diffraction-limited
Gaussian excitation profile (σ = 115 nm; Figure b and Supporting Information, section 1.1). After the pump pulses have photoexcited the sample
and generated a localized carrier population, we spatially resolve
the photoinduced transient response by imaging time-delayed wide-field
probe pulses onto an emCCD.
Figure 1
Setup and imaging channels employed in femtosecond
transient absorption
and reflection microscopy to monitor ultrafast charge carrier diffusion.
(a) Schematic of the optical components. A pump–probe scheme
is integrated into a wide-field optical microscope with a high numerical
aperture (NA = 1.1) objective, and the transmitted or reflected probe
is subsequently detected by an emCCD camera at a given probe wavelength.
BS, beam splitter; LP, long-pass filter; TL, tube lens; BP, bandpass
filter; M, mirror; WLC, white light continuum. (b) Spatial profile
of the pump pulse obtained by monitoring the fluorescence intensity
from a fluorescent bead scanned across the pump spot (black circles)
and corresponding Gaussian fit (blue). (c) Temporal characterization
of the pump (green) and probe (orange) pulses at the sample. Probe
pulses are only compressed for transmission experiments. (d) Transmission
geometry and (e) reflection geometry. CM, curved mirror; WL, wide-field
lens; BS, beam splitter.
Setup and imaging channels employed in femtosecond
transient absorption
and reflection microscopy to monitor ultrafast charge carrier diffusion.
(a) Schematic of the optical components. A pump–probe scheme
is integrated into a wide-field optical microscope with a high numerical
aperture (NA = 1.1) objective, and the transmitted or reflected probe
is subsequently detected by an emCCD camera at a given probe wavelength.
BS, beam splitter; LP, long-pass filter; TL, tube lens; BP, bandpass
filter; M, mirror; WLC, white light continuum. (b) Spatial profile
of the pump pulse obtained by monitoring the fluorescence intensity
from a fluorescent bead scanned across the pump spot (black circles)
and corresponding Gaussian fit (blue). (c) Temporal characterization
of the pump (green) and probe (orange) pulses at the sample. Probe
pulses are only compressed for transmission experiments. (d) Transmission
geometry and (e) reflection geometry. CM, curved mirror; WL, wide-field
lens; BS, beam splitter.To achieve the highest
temporal resolution, we employ a single-lens
high-NA oil-immersion objective instead of the more conventional flat-field
and chromatic aberration-corrected multicomponent objectives. This
choice compromises the absolute imaging capability but only weakly
affects a differential pump–probe experiment over a small field
of view (see also Supporting Information, section 2), allowing us to compress our pump pulses to 9.8 fs with
commercially available optical elements (Figure c, green line; Supporting Information, section 1.2). We remark that near-IR pulses (650–950
nm) can be temporally compressed to sub-10 fs for high-NA multicomponent
microscope objectives using advanced pulse-shaping methods.[21,22] Similar results for visible pulses (550–650 nm) are, however,
lacking because of the significantly larger dispersion corrections
required for this wavelength range.The probe pulses in our
setup are temporally compressed to 6.8
fs (Figure c, orange
line) for the transmission channel, resulting in an effective time
resolution of 11.9 fs (Figure d). In the reflection channel (Figure e), we use chirped probe pulses (∼700
fs), which in combination with bandpass-filtered detection results
in a temporal resolution of ∼50 fs (see the Supporting Information, section 1.2 for details).[23] While it is straightforward to compress the
probe pulses for our microscope objective by adding an additional
set of third-order compensated chirped mirrors into the beam path,
as illustrated for the pump pulse, we opted to demonstrate that chirped
probe pulses can be used equivalently if a simpler implementation
with marginally lower temporal resolution (∼50 fs) is desired.We incorporated two complementary probe channels to accommodate
a broad range of samples irrespective of their optical properties.
In the transmission channel, the probe is loosely focused onto the
sample by a concave mirror (Figure d, Gaussian illumination area of σ ≈ 8
μm), whereas in the reflection channel, the probe is focused
into the back-aperture of the high-NA objective with an additional
wide-field lens (Figure e, Gaussian illumination area of σ ≈ 4 μm). Prior
to detecting the probe, we insert narrow-bandpass filters into the
detection path to gain access to wavelength-resolved spatiotemporal
dynamics, while simultaneously removing optical artifacts associated
with chromatic aberrations.To demonstrate the capabilities
of our microscope, we first imaged
the spatiotemporal dynamics of a ∼120 nm thin film of the singlet
fission material pentacene (Pc) in transmission. Following photoexcitation
to S1, Pc undergoes singlet fission to form a correlated
triplet–triplet (1TT) state on a sub-100 fs time
scale, which can be followed by monitoring the growth of the photoinduced
absorption band at 790 nm. We remark that this wavelength range is
free from other overlapping spectral components, allowing direct insight
into the spatiotemporal characteristics of the singlet fission dynamics
(Supporting Information, section 3.2).[24−27]A typical point-spread function recorded at this wavelength
1 ps
after photoexcitation exhibits the expected negative differential
transmission signal at its center, accompanied by periodic intensity
changes as we move radially away from the center (Figure a). This point-spread function
is intrinsic to wide-field microscopy, also known as a far-field Frauenhofer
diffraction pattern, which arises from the optical interference pathways
of the probe light simultaneously collected over all space by the
detector. We note that the pulses employed here have an estimated
spatial coherence length of ∼2 μm over which this interference
effect can be observed. In our experiment, the tightly focused
pump pulses generate a Gaussian-shaped aperture by changing the complex
refractive index of the material, through which the probe pulses are
subsequently diffracted, yielding the characteristic near-isotropic
Airy disk point-spread function presented in Figure a. Closer inspection of our point-spread
functions reveals a small degree of anisotropy in the intensity distribution
of the first diffraction ring. We attribute this asymmetry to the
reduced imaging capabilities provided by our microscope objective,
causing spherical aberrations. This asymmetry does, however, not affect
the central part of the point-spread function in our microscope, allowing
us to confidently quantify time-resolved changes in its width (see Supporting Information, section 2 for a more
detailed discussion).
Figure 2
Femtosecond transient absorption microscopy of a thin
pentacene
film (∼120 nm) measured in transmission. (a) Differential transmission
image at 1 ps after photoexcitation. Scale bar depicts 500 nm. (b)
Transient kinetics at the central pixel of the point-spread function
(gray line, left axis) and retrieved amplitude of a two-dimensional
(2D) Gaussian fit (orange line, left axis, scaled for clarity). The
corresponding retrieved 2D Gaussian standard deviation (green line,
right axis) is also shown. (c) Mean-square displacement (MSD) curve
relative to a time delay of 75 fs. The MSD is well-described by two
linear diffusion regimes with the indicated slopes (see main text
for corresponding diffusion coefficient). Early time delays (<75
fs) were ignored because of coherent artifact contributions (gray
shaded region).
Femtosecond transient absorption microscopy of a thin
pentacene
film (∼120 nm) measured in transmission. (a) Differential transmission
image at 1 ps after photoexcitation. Scale bar depicts 500 nm. (b)
Transient kinetics at the central pixel of the point-spread function
(gray line, left axis) and retrieved amplitude of a two-dimensional
(2D) Gaussian fit (orange line, left axis, scaled for clarity). The
corresponding retrieved 2D Gaussian standard deviation (green line,
right axis) is also shown. (c) Mean-square displacement (MSD) curve
relative to a time delay of 75 fs. The MSD is well-described by two
linear diffusion regimes with the indicated slopes (see main text
for corresponding diffusion coefficient). Early time delays (<75
fs) were ignored because of coherent artifact contributions (gray
shaded region).The transient photodynamics of
pentacene at the central pixel of
the point-spread function feature an initial coherent spike at zero-time
delay, which evolves into a fast rise of the 1TT population
with a τ = 76 ± 6 fs time constant (Figure b, gray line). After the initial rise, the
differential signal amplitude remains largely constant, in agreement
with previous transient absorption studies.[24] To isolate the underlying spatial profiles, we described each transient
absorption image with an isotropic two-dimensional Gaussian function
and extracted the corresponding time-dependent amplitudes (Figure b, orange line) and
standard deviations (Figure b, green line), in line with previous analysis methods.[15,28] The retrieved amplitudes agree well with the central pixel amplitudes,
but the standard deviations display an unexpected behavior characterized
by an initial rise from ∼180 nm at 75 fs to ∼190 nm
at 200 fs. This initial rise is followed by a significantly slower
rise marginally above our signal-to-noise limit. We remark that this
behavior is independent of fitting the point-spread function with
an isotropic or anisotropic two-dimensional Gaussian function (Supporting Information, section 2).Importantly,
the spatial resolution of our microscope remains diffraction-limited
at the probe wavelength (σ ≈ ≈ 152 nm at 790 nm), but
the spatial
accuracy, i.e. how well we can distinguish the standard deviations
of different transient point-spread functions, is dependent only on
the signal-to-noise ratio of the recorded images, as demonstrated
previously.[15,28,29] Consequently, we can track changes to the profile of the imaged
point-spread function with high confidence. By combining the retrieved
standard deviation error from the two-dimensional Gaussian fit with
the temporal standard deviation error we retrieve a spatial accuracy
of ∼2.9 nm for this measurement. We refer the reader to section 2 of the Supporting Information for more
details (Figure S4). This spatial accuracy
is well below the 10 nm standard deviation expansion observed during
the first 200 fs for the pentacene films in Figure .We can roughly estimate the underlying
two-dimensional diffusion
dynamics from the mean-square displacement (MSD) curves according
to the (linear) diffusion eq where D is
the diffusion coefficient and t the time delay (Figure c).[15,28,30] We note that we excluded early
time delays in our analysis (Figure b,c, gray shaded area), such that t0 = 75 fs, because the presence of coherent artifact contributions
indicates additional signal pathways, such as two-photon absorption
and cross-phase modulations, which can artificially reduce the retrieved
width.[31,32] By analyzing the MSD of the previously identified
standard deviation regimes, we obtain diffusion coefficients with
values of Dfast = 136.5 ± 18.1 cm2 s–1 and Dslow = 3.2 ± 2.0 cm2 s–1. The initial
diffusion coefficient is furthermore independent of excitation density
in the linear absorption regime (Figure S9), eliminating carrier-recombination artifacts from our measurements.
Considering the diffusion coefficient and retrieved singlet fission
lifetime, we can estimate the effective carrier diffusion length for
this fully temporally resolved ultrafast regime as 32.2 ± 2.1 nm.To generalize
this result, we repeated the same experiment by detecting
different probe wavelengths (Supporting Information, section 4). Within a probe range from 710 to 790 nm, coinciding
with the photoinduced 1TT absorption band in Pc (Figure S7), we retrieve identical fast diffusion
coefficients within error margins. These results firmly rule out refractive
index artifacts[33] or competing overlapping
spectral features[16] as responsible factors
for this fast diffusion regime. The extraordinarily high diffusion
coefficients (Dfast) and associated carrier
lengths (Lfast) thus point to a previously
unknown transport regime during the earliest times following photoexcitation
in Pc.While a detailed interpretation of the above results
is beyond
the scope of this work, the established photophysics of Pc allows
us to provide a first qualitative explanation of our results.[24,30,34,35] We speculate that the initially delocalized photoexcited S1 wave function could undergo ultrafast spatial broadening (Dfast) during the formation of a more delocalized 1TT wave function within a coherent transport regime. This
rapid initial expansion is followed by a slower population expansion
over several picoseconds, and the lower diffusion coefficient (Dslow) indicates an incoherent hopping mechanism
which could be associated with the formation of an entangled but spatially
separated 1T···T state.[36] Further theoretical work is, however, critical to elucidate
the origins of both the fast and slow regimes of the observed spatiotemporal
behavior.In addition to our ability to visualize exciton population
transport
in Pc during singlet fission, the high temporal resolution of our
setup allows us to also monitor the chemical fingerprint of the excitation
spot via impulsive stimulated Raman scattering for in situ verification
of the chemical composition of the probed sample region.[37−39] To highlight this capability, we conducted the same experiment on
Pc at higher excitation densities, to achieve an increased signal-to-noise
ratio, and resolved pronounced oscillatory modulations on top of the
electronic background signal (Figure a, ∼25 fs period, see inset). To extract the
associated impulsive Raman spectrum, we computed the Fourier power
spectrum of the oscillatory modulations after removing the slowly
varying electronic background signal (Figure b). The retrieved spectrum is in excellent
agreement with the ground-state Raman spectrum of Pc thin films and
is dominated by modes at 1193 (∼28 fs period) and 1371 cm–1 (25 fs period).[40] The
oscillatory components are also reproduced by applying a two-dimensional
Gaussian fitting routine outlined above (Figure , orange line). We remark that the appearance
of such coherent oscillations in the time domain corroborates the
high temporal resolution deduced from our external pulse characterization
(Supporting Information, section 1.2).
Figure 3
Vibrational
imaging in femtosecond transient absorption microscopy
demonstrated on thin-film pentacene in transmission. (a) Detection
of vibrational coherences superimposed on the electronic signal arising
from impulsive stimulated Raman scattering. The oscillatory modulations
are best visualized by either integrating the central image portion
(8 × 8 pixels, gray line) or by carrying out a 2D Gaussian fit
analysis (orange line). The signal is dominated by ∼25 fs periods
(inset). (b) Fourier power spectrum after background removal of the
electronic dynamics in panel a for the two analysis methods, displaying
the dominant C–C and C=C stretching Raman modes of thin-film pentacene
at 1193 and 1371 cm–1.
Vibrational
imaging in femtosecond transient absorption microscopy
demonstrated on thin-film pentacene in transmission. (a) Detection
of vibrational coherences superimposed on the electronic signal arising
from impulsive stimulated Raman scattering. The oscillatory modulations
are best visualized by either integrating the central image portion
(8 × 8 pixels, gray line) or by carrying out a 2D Gaussian fit
analysis (orange line). The signal is dominated by ∼25 fs periods
(inset). (b) Fourier power spectrum after background removal of the
electronic dynamics in panel a for the two analysis methods, displaying
the dominant C–C and C=C stretching Raman modes of thin-film pentacene
at 1193 and 1371 cm–1.To highlight how our approach can be applied for optically thick
or nontransparent materials, we investigated the ultrafast spatiotemporal
properties of p-doped Silicon (Si) using the reflection channel of
our microscope. Si is a prototypical, well-characterized material
commonly used in solar cells, which is nontransparent to visible light
and therefore cannot be measured in transmission. Here, we recorded
transient reflection images probed above the optical bandgap (740
nm). A typical point-spread function at a time delay of 2.8 ps shows
a negative, isotropic differential reflectivity signal in the form
of an Airy disk, in agreement with previous reports (Figure a).[33] The associated photodynamics exhibit an initial rise with a decay
time constant of 207 ± 22 fs followed by a slower decay time
of 11.29 ± 1.1 ps (Figure b, gray line).
Figure 4
Femtosecond transient reflection microscopy of p-doped
Silicon.
(a) Differential reflectance image at 2.8 ps after photoexcitation.
Scale bar depicts 500 nm. (b) Transient kinetics at the central pixel
of the point-spread function (gray line, left axis) and retrieved
amplitude of a two-dimensional (2D) Gaussian fit (orange line, left
axis). The corresponding retrieved 2D Gaussian standard deviation
(green line, right axis) is also shown. (c) Mean-square displacement
(MSD) curve relative to a time delay of 90 fs. The MSD is well-described
by a single linear diffusion regime with the indicated slope (see
main text for corresponding diffusion coefficient). Early time delays
(<90 fs) were ignored because of coherent artifact contributions (gray
shaded region).
Femtosecond transient reflection microscopy of p-doped
Silicon.
(a) Differential reflectance image at 2.8 ps after photoexcitation.
Scale bar depicts 500 nm. (b) Transient kinetics at the central pixel
of the point-spread function (gray line, left axis) and retrieved
amplitude of a two-dimensional (2D) Gaussian fit (orange line, left
axis). The corresponding retrieved 2D Gaussian standard deviation
(green line, right axis) is also shown. (c) Mean-square displacement
(MSD) curve relative to a time delay of 90 fs. The MSD is well-described
by a single linear diffusion regime with the indicated slope (see
main text for corresponding diffusion coefficient). Early time delays
(<90 fs) were ignored because of coherent artifact contributions (gray
shaded region).Analogous to our analysis on Pc,
we described each transient reflection
image with a two-dimensional isotropic Gaussian function to analyze
the spatial profiles. The retrieved time-dependent amplitudes match
the central pixel amplitudes (Figure b, orange line), as previously observed for Pc. Interestingly,
despite the two temporal regimes identified in the signal amplitude,
the corresponding standard deviation displays only a single rise from
∼190 nm at 100 fs to 205 nm at 3 ps (Figure b, green line), sufficient to be resolved
with the spatial accuracy of ∼2.7 nm obtained in this experiment
(see Supporting Information, section 2).
The corresponding diffusion coefficient in our time window can be
estimated from the MSD relative to t0 = 90 fs using eq and yields D = 8.6 ± 0.5 cm2 s–1, in agreement with previously reported values (Figure c).[19,33] Our results suggest that the diffusion characteristics in Si at
the earliest times (∼100 fs to 3 ps) after photoexcitation
are equivalent to the pico- or nanosecond time scales that have been
reported with alternative measurement techniques.[19,20,33]Apart from the improved temporal resolution,
our transient absorption
and reflection microscope differs significantly from previous implementations
because of its wide-field imaging detection. Earlier studies[15−18] almost exclusively rely on confocal microscopy,[33] in which the transient image is reconstructed after scanning
a tightly focused probe beam across the sample. The benefits and drawbacks
of wide-field microscopy compared to confocal microscopy have been
extensively reviewed in the literature and apply similarly for transient
microscopes.[41] While we have demonstrated
an ultrafast wide-field microscope, because of its easier construction,
our approach can readily improve the time resolution of a transient
confocal microscope by simply replacing the relevant objective lenses
with low-dispersion objectives and adding commercially available pulse
compression optics (see Experimental Methods).We emphasize that care has to be taken in the interpretation
and
comparison of the respective transient point-spread functions, which
will appear as Airy disks for a wide-field microscope (e.g. Figure a) instead of a two-dimensional
Gaussian function for a confocal microscope.[15−18] Critically, while the underlying
phase interference effects in our microscope may seem deleterious
at first, they in principle allow the ultrafast tracking of three-dimensional
carrier motion over the spatial coherence length of our probe pulses
(∼2 μm) by carefully evaluating the corresponding point-spread
functions (particularly in the reflection channel).[33,42]Taken together, we have demonstrated ultrafast transient absorption
and reflection microscopy which meets the time and length scale requirements
of optoelectronic processes by achieving an effective temporal resolution
down to 12 fs in transmission and ∼50 fs in reflection mode,
with simultaneous sub-10 nm spatial accuracy. This spatiotemporal
capability enabled us to uncover a previously unobserved ultrafast
linear transport regime in Pc films indicative of a highly spatially
delocalized 1TT wave function which corresponds to carrier
transport lengths of up to 32 nm from the initial excitation spot
within only 200 fs after photoexcitation. In contrast, p-doped Si
did not show any ultrafast spatial expansion but instead followed
its reported long time diffusive behavior. An inherent benefit of
our approach is the ability to simultaneously monitor the chemical
identity of the selected region via impulsive stimulated Raman scattering
alongside the spatiotemporal dynamics. The combination of these functionalities
provides comprehensive insight into charge carrier and exciton population
transport in a wealth of materials with morphological and chemical
specificity.[4300] Consequently, our approach
can be readily applied to heterojunctions and other inhomogeneous
morphologies to elucidate interfacial population transport.
Experimental
Methods
Experimental Setup. Pulses were
provided by a
Yb:KGW amplifier (1030 nm, 200 fs, 200 kHz, 5 W, Pharos, Light Conversion)
which seeded two white light continuum stages for probe and pump pulse
generation. Probe pulses were produced in a 3 mm YAG crystal
and spectrally filtered in a home-built 4F single-prism
filter to adjust the bandwidth to 660–900 nm. Subsequently,
the probe pulses were compressed to 6.8 fs with third-order corrected
chirped mirrors (DCM9, Venton) and by optimizing the prism insertion
in the spectral filter. Probe pulses were only compressed for the
transmission channel (see further explanation in Supporting Information, section 1). Consequently, they experienced
a temporal chirp of ∼700 fs in the spectral region from 660 to
900 nm in the reflection channel due to the additional dispersion
caused by the wide-field and objective lens. Pump pulses were produced
in a 3 mm sapphire crystal for increased bandwidth, spectrally adjusted
by a 650 nm short-pass filter (FESH650, Thorlabs), and subsequently
compressed to 9.8 fs by two sets of third-order compensated chirped
mirrors (109811, Layertec) in combination with a wedge-prism pair,
accounting for all optical components including the microscope objective.
We additionally cleaned the spatial mode of the pump pulses by means
of a 40 μm pinhole, which is imaged into the back-aperture of
the objective to achieve near-diffraction-limited focusing at the
sample. To set up the time-dependent pump–probe sequence, we
modulated the pump pulses at 15 Hz via a mechanical chopper (Thorlabs)
and temporally delayed the probe via a computer-controlled closed-looped
piezo translation stage (P-625.1CL, PhysikInstrumente).An emCCD
(Rolera Thunder, QImaging) detected the transmitted or
reflected probe pulses via a high numerical aperture oil-immersion
objective (NA = 1.1, 100× magnification) in combination with
an F = 500 mm tube lens (AC254-500-B, Thorlabs) resulting
in 55.5 nm/pixel. To avoid pump light detection, we inserted a 650
nm long-pass filter (FELH650, Thorlabs) in front of the emCCD in addition
to a narrow bandpass filter (FB790-10 for pentacene and FB740-10 for
silicon, Thorlabs) as shown in Figure a.An automatic focus control loop based on total
internal reflection
of a reference continuous wave laser (405 nm) was used to stabilize
the focus position via an objective piezo (NP140, Newport) in pentacene.[43] The same approach could not be applied to silicon.
Instead, we measured eight different sample locations (experimental
time 4 min/sample location) and averaged the results. During this
time scale no significant focus drift was observed as verified by
monitoring the autofocus performance during the measurements on pentacene.The camera exposure time was set to 9 ms for pentacene and 12 ms
for silicon at a camera frame rate of 30 Hz. For the experiments on
pentacene shown in Figures and 3, the photoexcited carrier
densities were 2.90 × 1018 and 9.01 × 1018 cm–3,[44] respectively,
and 1.67 × 1018 cm–3 for silicon (Figure ),[20] as calculated from the peak energy of the pump pulse.[33] Both experiments were conducted by adjusting
the polarization of the pump and probe beams to magic angle.Data Analysis. Normalized differential images
were calculated from the raw images after subtraction of the dark
counts and described for each time delay with an isotropic two-dimensional
Gaussian function according towhere A encodes the signal
amplitudes; x0 and y0 are the position, and σ is the standard deviation.
Initial guesses for the position were taken from the center of mass
position of each image; the amplitude was taken from the corresponding
pixel amplitude, and we set σ = 100 nm and offset = 0.We note that this approach does not describe the diffraction rings
present in the Airy disk. This results in a systematic overestimation
of the fitted signal amplitude, and we therefore scaled the reported
amplitudes in Figures and 4 to emphasize the correct reproduction
of the transient kinetics. Importantly, our analysis focuses on evaluating
time-dependent differences to the retrieved fit parameters. Especially
for the standard deviation parameter, any error in describing the
full point-spread function will translate into a small systematic
deviation from the actual value, which will be inconsequential for
assessing temporal changes.Population kinetics were modeled
with a sum of two exponentially
decaying Gaussian functions, and stated error bars in the retrieved
lifetimes correspond to the standard deviation error.
Authors: Brendan D Folie; Jonah B Haber; Sivan Refaely-Abramson; Jeffrey B Neaton; Naomi S Ginsberg Journal: J Am Chem Soc Date: 2018-02-02 Impact factor: 15.419
Authors: Hope M Bretscher; Paolo Andrich; Yuta Murakami; Denis Golež; Benjamin Remez; Prachi Telang; Anupam Singh; Luminita Harnagea; Nigel R Cooper; Andrew J Millis; Philipp Werner; A K Sood; Akshay Rao Journal: Sci Adv Date: 2021-07-07 Impact factor: 14.136
Authors: Alexander J Sneyd; Tomoya Fukui; David Paleček; Suryoday Prodhan; Isabella Wagner; Yifan Zhang; Jooyoung Sung; Sean M Collins; Thomas J A Slater; Zahra Andaji-Garmaroudi; Liam R MacFarlane; J Diego Garcia-Hernandez; Linjun Wang; George R Whittell; Justin M Hodgkiss; Kai Chen; David Beljonne; Ian Manners; Richard H Friend; Akshay Rao Journal: Sci Adv Date: 2021-08-04 Impact factor: 14.957