INSTITUTE OF PHYSICS PUBLISHING NANOTECHNOLOGY
Nanotechnology 14 (2003) 1–6 PII: S0957-4484(03)52189-4
Comparison of calibration methods for
atomic-force microscopy cantilevers
N A Burnham
1
, X Chen
2
, C S Hodges
3
, G A Matei
1
, E J Thoreson
1
,
C J Roberts
2
, M C Davies
2
and S J B Tendler
2
1
Department of Physics, Worcester Polytechnic Institute, Worcester, MA 01609-2280, USA
2
Laboratory of Biophysics and Surface Analysis, School of Pharmaceutical Sciences,
University of Nottingham, Nottingham NG7 2RD, UK
3
Department of Chemical Engineering, University of Leeds, West Yorkshire LS2 9JT, UK
Received 9 August 2002, in final form 30 October 2002
Published 3 December 2002
Online at stacks.iop.org/Nano/14/1
Abstract
The scientific community needs a rapid and reliable way of accurately
determining the stiffness of atomic-force microscopy cantilevers. We have
compared the experimentally determined values of stiffness for ten
cantilever probes using four different methods. For rectangular silicon
cantilever beams of well defined geometry, the approaches all yield values
within 17% of the manufacturer’s nominal stiffness. One of the methods is
new, based on the acquisition and analysis of thermal distribution functions
of the oscillator’s amplitude fluctuations. We evaluate this method in
comparison to the three others and recommend it for its ease of use and
broad applicability.
1. Introduction
Motivated by the need for a fast and accurate method of
determining cantilever stiffness, we have conducted a study
of calibration methods for atomic-force microscopy (AFM)
cantilevers. Although at least a dozen different calibration
methods have already been published [1–17], we limited
our experimental comparison to four approaches. The first,
published by Cleveland et al [1], is based on measuring
the cantilever width and length or taking the manufacturer’s
values thereof, accepting literature values for elastic modulus
and density of the cantilever material and measuring the
cantilever’s resonant frequency. The second, for rectangular
cantilevers, from Sader et al [3–5], incorporates the viscosity
and density of the medium in which the cantilever is immersed
along with experimentally determined values of the resonant
frequency and quality factor, together with the cantilever
dimensions, in order to calculate the stiffness. These first two
methods we call ‘geometric’ because the dimensions of the
beam occur in the equations. The third and fourth methods
we dub ‘thermal’ since they are based on the acquisition of
the cantilever’s thermal distribution spectrum (square of the
fluctuations in amplitude as a function of frequency). In the
third one, published by Hutter and Bechhoefer [6] and later
modified by Butt and Jaschke [7], the thermal spectrum is
related to thermal energy. In the course of checking their
derivation, we discovered the fourth method, an alternative
way of measuring cantilever stiffness using thermal spectra
that we propose and verify in this paper.
Although other existing calibration techniques have been
helpful to the development of AFM, many were not included in
this study. Finite element analyses [8–12] were thought to be
neither general enough nor experimentally verifiable, and too
complex for speedy use. Methods using special equipment, for
example, pendulums [13] and nanoindentors [15], were also
excluded from this work. Approaches involving manipulation
of small particles [1] were thought to be too time-consuming
as well. The personal experience of the authors is that pushing
one spring against the other [16, 17] is subject to stick–slip
motion, which interferes with the accuracy of the results. This
last method also involves laboriously precise positioning. A
comparison of the methods that we surveyed is compiled in
the form of table 1.
Below, we summarize the salient equations from the two
geometric methods and from Hutter and Bechhoefer. We
derive the distribution density for the square fluctuations in
amplitude of a simple harmonic oscillator (SHO) and show how
it leads to Hutter and Bechhoefer’s result and also demonstrate
the equivalence of our approach. Then the corrections that
must be made to compensate for our instrument’s detection
system and configuration are presented, followed by the results
of the four methods for ten different cantilevers in air and in
water. A discussion of the advantages and disadvantages of
the four approaches ensues, just before the conclusions.
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