Asylum Research

 

Band Excitation Scanning Probe Microscopies: Traveling through the Fourier Space

Stephen Jesse,1 Amit Kumar,1 Sergei V. Kalinin,1 Anil Gannepali,2 and Roger Proksch2

1The Center for Nanophase Materials Science, Oak Ridge National Laboratory, Oak Ridge, TN 37831
2Asylum Research, Santa Barbara, CA 93117

In the two decades since the emergence of the first commercial Scanning Probe Microscopes (SPMs), force-based SPMs have become primary tools for exploring and manipulating matter on the nanoscale. The rapid growth in the number of SPM imaging modes and microscope platforms is contrasted by the fact that the most common operational mode – periodically exciting and synchronously measuring the cantilever probe response – has stayed the same. The last several years have seen a number of approaches for SPM beyond simple periodic excitation. Here, we summarize the principles and recent advances of one such technique: band excitation (BE) SPM, a universal method for broad-band SPM measurements applicable to all ambient and liquid SPM modes. BE is implemented exclusively on the Cypher™ and MFP-3D™ AFMs from Asylum Research.

Introduction

SPM techniques have become the mainstay of nanoscience and nanotechnology by providing easy to use, gentle structural imaging and manipulation on nanometer length scales. Beyond topographic imaging, SPMs have an extremely broad range of applications in probing electrical, magnetic, and mechanical properties. Despite the impressive growth in applications, the traditional approach for SPM measurements – based on detection of cantilever response to a well-defined periodic excitation at a single frequency – has remained virtually identical for almost twenty years.1

However, the information on tip-surface interactions that can be obtained at a single frequency is fundamentally limited, as can be illustrated by the simple example of a mass-spring, simple harmonic oscillator (SHO) model. The SHO is characterized by four independent parameters, namely the resonant frequency ω0, amplitude A0 and phase j0 at resonance, and the quality-factor Q. The resonance frequency is primarily determined by the cantilever and tip-surface spring constants, i.e. it provides a measure of conservative tip-surface interactions. The amplitude and phase depend on the driving force, whereas the Q-factor (or peak width) is a measure of dissipative tip-surface interactions. In conventional single frequency measurements, a lock-in amplifier measures the amplitude and phase of the cantilever at the drive frequency. Since two independent parameters are measured, only two independent model parameters can be extracted by single-frequency detection methods, whereas four parameters are needed to uniquely determine conservative and dissipative interactions. Furthermore, even the basic premise of this analysis, namely the cantilever behaving as a SHO, is in many cases not true. If, for example, the nonlinear interactions between the tip and sample are taken into account, the appropriate models involve more than four parameters, exacerbating the lack of information from the single frequency measurement.

This limitation can be overcome if the cantilever response is probed at more than one and ideally multiple frequencies at each spatial pixel. By doing this, a segment of Fourier space, rather than a single point, can be explored. Measuring the amplitude and phase at multiple frequencies also allows unambiguous determination of model parameters. A number of approaches for multiple frequency measurements have been developed using the ring-down response to pulse excitation,2 dual frequency measurements,3 fast lock-in sweeps,4 intermodulation microscopy,5 and rapid multifrequency imaging.6 Here, we discuss the recently developed and commercialized BE method as applied for acoustic, electromechanical, and magnetic imaging.7

Principles of Band Excitation

The BE approach provides an alternative to single-frequency and frequency-sweep methods by exciting and detecting response at all frequencies simultaneously. The process is illustrated in Figure 1. The probe is excited using a synthesized digital signal that spans a continuous band of frequencies, and the response is monitored within the same or a larger frequency band. The excitation can be mechanical, optical, electric, or magnetic, mirroring classical SPM techniques. The cantilever response is detected using high speed data acquisition hardware and then Fourier transformed. The resulting amplitude vs. frequency and phase vs. frequency curves are collected at each point and stored in 3D data arrays (x, y, and amplitude and x, y and phase). This data is analyzed to extract relevant parameters of the cantilever behavior. For example, in the SHO approximation, the resonance frequencies, response amplitude and Q-factors are fitted from the measured amplitude and phase curves and stored as images.

In addition to returning information on various sample properties, the acquired amplitude and phase data can be used during scanning to modify the data acquisition process. One example is adaptive BE where the sampled frequency range is continuously adjusted to track a moving resonance.

BE Piezoresponse Force Microscopy

Originally, the BE method was developed in the context of piezoresponse force microscopy (PFM). PFM is based on the detection of the minute strains generated in solids responding to an electric bias applied to the tip. In the last 15 years, PFM has become the primary method for probing ferroelectric and multiferroic materials and devices, biological and polymer materials, and, more recently, energy storage and conversion materials. In PFM, the lack of a well-defined relationship between the phase of the response and proximity to the resonance has precluded the use of standard frequency tracking methods, while the strong dependence of contact resonance frequency on topography has resulted in unacceptably high topographic crosstalk in high-frequency imaging.8 Because of these considerations, PFM is a good method to illustrate the advantages of BE operation.

Figure 2 shows an example of BE response, i.e. amplitude and phase (Figure 2a) vs. frequency curves, acquired at a single spatial location. This response improves upon the amplitude and phase at a single frequency in constant frequency SPM, and can be acquired at comparable rates. In single frequency SPMs, the pixel acquisition time is ~3 to 10ms, corresponding to ~300 oscillation cycles of a periodic excitation at ~100kHz. With the BE approach, these oscillations have slightly differing frequencies, allowing sampling of a segment of Fourier space without significant loss of signal level. Figures 2b and 2c show the amplitude and phase, respectively, along a single line scan giving rise to the 2D amplitude and phase spectrograms. The data in Figure 2d shows the evolution of the response across a grain boundary in a polycrystalline ferroelectric ceramic. Note that the contact resonance frequency (corresponding to the maximum in the amplitude spectrogram) changes very significantly across the sample surface, reflecting the changes in the surface topography and elastic properties of the surface. At the same time, the maximal amplitude, i.e. the measure of the local polarization within the material, is much more uniform. The phase spectrogram shows a jump of 180 degrees across the grain boundary, evidencing the antiparallel orientation of ferroelectric domains in the adjacent grains. There are two significant things to note from this example: (i) a constant frequency measurement along the same line scan will be subject to strong crosstalk between the amplitude and phase due to the resonant frequency shift, and (ii) if the constant frequency were chosen to be far from resonance to minimize crosstalk, the signal level would be smaller by a factor of ~100, necessitating progressively longer data acquisition times or a much noisier data set.

BE PFM imaging is illustrated for a ferroelectric nanoparticle in Figure 3. Surface topography, and electromechanical response amplitude and phase provide information on the morphology of the nanoparticle and the ferroelectric domain structure – information similar to that provided by standard single frequency PFM. However, for BE PFM there is almost complete absence of crosstalk between the topography and PFM signals even on extremely rough surfaces. The resonance frequency image in Figure 3d is dominated by topographic features and (presumably) variations of elastic properties between the nanoparticle and substrate, providing information similar to atomic force acoustic microscopy (AFAM).9 Note the AFAM signal is independent from PFM, i.e. these two channels of information on materials properties are now decoupled. The Q factor image (Figure 3e) provides information on mechanical and electromechanical dissipation at the tip-surface junction, as well as the error map of the SHO fit. Finally, the error map in Figure 3f illustrates large spurious phase changes unrelated to domain structure and controlled by surface topography.

Mechanical Property Measurements in Polymers

The capability of BE to map local elastic and dissipative properties of materials allows it to be effectively used for data acquisition in the AFAM mode. In AFAM, the sample is excited mechanically, and the amplitude and phase of vibrations transferred to the cantilever provide a measure of the elastic properties of the material surface. In BE AFAM, the measured full amplitude-frequency curve allows both elastic properties and dissipation to be mapped quantitatively.

Illustrated in Figure 4 is the BE AFAM mapping of a cryo-microtomed sample consisting of polystyrene spheres suspended in a polypropylene matrix. The amplitude image in Figure 4b is relatively featureless, consistent with uniform driving by the sample actuator. The resonant frequency (Figure 4c) signal illustrates relatively weak changes in contact resonant frequency, as is expected because of the similar storage (conservative) moduli for the two materials (E’~ 2.4x109 N/m2 for PS and E’~ 2.8x109 N/m2 for PP*). However, the quality factor image (Figure 4d) shows very strong contrast, consistent with the relative large difference in the loss (dissipative) moduli of the two materials (E’’~ 5x107 N/m2 for PS and E’’~ 1.4x108 N/m2 for PP*). Finally, in both the frequency and quality factor images, small-scale features due to topographic crosstalk between the contact area and mechanical properties are clearly seen.

Future Perspectives – BE and BEyond

The BE method described here is a universal data acquisition method that can be broadly applied to virtually all ambient and liquid SPM methods. Compared to single frequency SPM, BE allows unambiguous decoupling of the conservative and dissipative interactions, removing topographic cross-talk and allowing identification of non-linear responses.

The BE method also allows novel applications of SPM well beyond classical data acquisition. For example, for systems with strongly non-linear responses, the peak shape can be analyzed to yield quantitative information on local nonlinearities. In cases where the analytical theory is unavailable, the signal can be identified and analyzed using multivariate statistics and artificial intelligence methods, giving rise to recognition imaging microscopy based on “fingerprinting” relevant materials behavior. This approach was demonstrated recently for bacterial identification.10 Finally, BE can be used for local spectroscopic methods, in which local response is probed as a function of electric potential, temperature, or time, giving rise to multidimensional spectroscopic SPM methods probing dynamic, rather than static, materials functionality.

Acknowledgements

Research supported by the ORNL SEED program (SVK and SJ) and conducted at the Center for Nanophase Materials Sciences (CNMS), which is sponsored at Oak Ridge National Laboratory by the Division of Scientific User Facilities, U.S. Department of Energy. Band excitation PFM and other SPM modes are available as a part of the user program at the CNMS, www.cnms.ornl.gov.

References

  1. G. Binnig, C.F. Quate, and C. Gerber, Atomic force microscope, Physical Review Letters 56 (9), 930-933 (1986).

  2. Proksch and E.D. Dahlberg, A detection technique for scanning force microscopy, Review of Scientific Instruments 64 (4), 912-916 (1993).

  3. B. J. Rodriguez, C. Callahan, S. V. Kalinin et al., Dual-frequency resonance-tracking atomic force microscopy, Nanotechnology 18 (47) (2007).

  4. A. B. Kos and D. C. Hurley, Nanomechanical mapping with resonance tracking scanned probe microscope, Measurement Science & Technology 19 (1) (2008).

  5. D. Platz, E. A. Tholen, D. Pesen et al., Intermodulation atomic force microscopy, Applied Physics Letters 92 (15) (2008).

  6. R. Nath, Y. H. Chu, N. A. Polomoff, R. Ramesh, B. D. Huey, Appl. Phys. Lett, 93, 072905 (2008).

  7. S. Jesse, S. V. Kalinin, R. Proksch et al., The band excitation method in scanning probe microscopy for rapid mapping of energy dissipation on the nanoscale, Nanotechnology 18 (43) (2007).

  8. R. Proksch and S. Kalinin, Piezoresponse Force Microscopy with Asylum Research AFMs, PFM App Note (2008).

  9. U. Rabe and W. Arnold, Acoustic microscopy by atomic force microscopy, Applied Physics Letters 64 (12), 1493-1495 (1994).

  10. M.P. Nikiforov, A.A. Vertegel, V.V. Reukov, G.L. Thompson, S.V. Kalinin, S. Jesse, Functional recognition imaging using artificial neural networks: Applications to rapid cellular identification by broadband electro-mechanical response, Nanotechnology 20, 405708 (2009).


*Storage and loss moduli for PS and PP calculated at room temperature, 250kHz (near the cantilever contact resonance) using time-temperature superposition from 1Hz dynamic mechanical tensile analyzer (DMTA) measurements.

Cypher and MFP-3D are trademarks of Asylum Research.

 

 

 

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Figure 1: Principle of BE SPM. The excitation signal is digitally synthesized to have a predefined amplitude and phase in the given frequency window. The cantilever response is detected and Fourier transformed at each pixel in an image. The ratio of the fast Fourier transforms of response and excitation signals yields the cantilever response (sometimes also called the“transfer function”). Fitting the response to the simple harmonic oscillator yields amplitude, phase, resonance frequency, and Q-factor, plotted as 2D images or used as feedback signals. Click here to enlarge image.

 

 

Figure 2: (a) BE amplitude and phase response at a single spatial location, and a fit by the simple harmonic oscillator model. 2D BE (b) amplitude and (c) phase vs. frequency and location profiles, analogous to line profiles in single-frequency SPM. In contrast to a line profile, the amplitude and phase as a function of frequency (vertical axis) are represented by a color scale. (d) Amplitude, resonant frequency, and phase across the interface extracted from data in (b) and (c). Click here to enlarge image.

 

 

Figure 3: (a) Surface topography, (b) resonant amplitude, (c) phase, (d) resonant frequency, (e) quality factor, and (f) phase map (single frequency PFM) for BiFeO3 nanoparticle on (LaxSr1-x)MnO3 substrate. Imaging by R. Vasudevan (University of New South Wales, Australia) and A. Kumar (ORNL). Sample courtesy P.A. Joy and H.S. Potdar, HSP/PAJ, NLL, India. Click here to enlarge image.

 

 

Figure 4: (a) Surface topography, (b) resonant amplitude, (c) resonant frequency and (d) quality factor for contact resonance (AFAM) microscopy performed on polystyrene spheres suspended in a polypropylene matrix. Model sample blends of PS/PP and bulk moduli values courtesy of Dalia Yablon and Andy Tsou, ExxonMobil Research and Engineering. Click here to enlarge image.

 

 


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