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PNAS, (2006), 103, 4813-4818 Appl.Phys.Lett., (2005), 87, 163120/1-163120/3 Scanning Probe Acceleration Microscopy: Towards Real Time Reconstruction of Tip-Sample Forces in Tapping Mode AFM Tomek Kowalewski Department of Chemistry Carnegie Mellon University

Scanning Probe Acceleration Microscopy: Towards Real Time Reconstruction of Tip-Sample Forces in Tapping Mode AFM

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Page 1: Scanning Probe Acceleration Microscopy: Towards Real Time Reconstruction of Tip-Sample Forces in Tapping Mode AFM

8/7/2019 Scanning Probe Acceleration Microscopy: Towards Real Time Reconstruction of Tip-Sample Forces in Tapping Mode AFM

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PNAS, (2006), 103, 4813-4818

Appl.Phys.Lett., (2005), 87, 163120/1-163120/3

Scanning Probe Acceleration Microscopy:Towards Real Time Reconstruction of Tip-Sample Forces in Tapping Mode AFM

Tomek Kowalewski 

Department of Chemistry

Carnegie Mellon University

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Acknowledgements:

Justin Legleiter

Brian Cusick

Matthew Park

Funding:

NSF: CTS-0304568, DMR-9974457

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E = 109 Pa

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E = 108 Pa

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E = 107 Pa

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Plotting tapping force vs. cantilever deflection reveals that each tappingevent resembles closely the contact mode force curve.

The slope of these “mini force curves” depends in a familiar way on tehsample stiffness and dictates the width of the tapping pulse

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0[ sin(2 )]eff o tip samo l p p em z bz k z D a f t   F π  −+ + − − =&& &

0

1[ ( sin(2 ))]o otip samp e

e

l p

 ff 

  z bz kz k D a f t  

m

F  π −= − − + −&& &

Cantileveracceleration

These terms vary as exp( i ω op  t)Tappingforce pulse

PNAS, (2006), 103, 4813-4818

Towards direct reconstruction of tip-sample force fromcantilever trajectory

Scanning Probe Acceleration Microscopy

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S:N 105

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S:N = 105

S:N = 104

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S:N = 104

S:N 103

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S:N = 103

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S:N = 103

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S:N = 10

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1

1( ) ( ) ( )

 N 

rec oper  

k   y t y k  ω δ ω ω  

=

⎡ ⎤= ℑ −⎢ ⎥⎣ ⎦∑

PNAS, (2006), 103, 4813-4818

Harmonic Comb Filtering

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1

1

( ) ( ) ( ) N 

rec oper  

  y t y k  ω δ ω ω  −

=

⎡ ⎤= ℑ −⎢ ⎥

⎣ ⎦∑

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Key To Modeling “Fluid Tapping” : LOW Q!

0 0 0[ sin( )]eff ext  m z bz k z D a t F  ω + + − − =&& &

26 /  z HRF  tipext  −=

22 / 3 6 / )()3 /(4  DMT tip DMT tipeff ext  a HR za RF  −−= πκ 

where

for z > a DMT 

for z < a DMT 

omQ

b

ω =

o

o

 AQ

a

=

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Appl.Phys.Lett., (2005), 87, 163120/1-163120/3

Simulated fluid tapping cantilever position

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Fluid tapping cantilever trajectories

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Appl.Phys.Lett., (2005), 87, 163120/1-163120/3

Simulated fluid tapping cantilever position

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0 0 sin( )  y z D a t  ω = − +Appl.Phys.Lett., (2005), 87, 163120/1-163120/3

Recall that optical lever measures cantilever deflection – not position!

Fluid Tapping Force-Curve

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Experiment Simulation

Appl.Phys.Lett., (2005), 87, 163120/1-163120/3

Fluid Tapping Force-Curve

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SPAM under water

PNAS, (2006), 103, 4813-4818

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PNAS, (2006), 103, 4813-4818

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⎥⎦⎤⎢

⎣⎡ ++−−= )]cos(

1)[sin(

10

2 t Q

t amky ybF m

 y eff ext 

eff 

ω ω ω &&&

PNAS, (2006), 103, 4813-4818

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⎥⎦⎤⎢

⎣⎡ ++−−= )]cos(1)[sin(1

0

2 t Q

t amky ybF m

 y eff ext 

eff 

ω ω ω &&&

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⎥⎦⎤⎢

⎣⎡ ++−−= )]cos(1)[sin(1

0

2 t Q

t amky ybF m

 y eff ext 

eff 

ω ω ω &&&

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⎥⎦⎤⎢

⎣⎡ ++−−= )]cos(1)[sin(1

0

2 t Q

t amky ybF m

 y eff ext 

eff 

ω ω ω &&&

The effect of noise

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The effect of noise

Harmonic Comb Filter

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Harmonic Comb Filter

1

1

( ) ( ) ( )

 N 

rec oper  

  y t y k  ω δ ω ω  −

=

⎡ ⎤= ℑ −⎢ ⎥⎣ ⎦∑

Sliding window Fourier transform

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Sliding window Fourier transform

PNAS, (2006), 103, 4813-4818

Sliding window Fourier transform

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Sliding window Fourier transform

PNAS, (2006), 103, 4813-4818

Sliding window Fourier transform

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g

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Calibration curve

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PNAS, (2006), 103, 4813-4818

Total brain lipid extract bilayers

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p y

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PNAS, (2006), 103, 4813-4818

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PNAS, (2006), 103, 4813-4818

Conclusions:

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Co c us o s