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David Muller 2006 1 Linear Imaging Approximations Notes to accompany the lectures delivered by David A. Muller at the Summer School on Electron Microscopy: Fundamental Limits and New Science held at Cornell University, July 13-15, 2006. Reading and References: Chapter 1-3 of “Advanced Computing in Electron Microscopy” by E. J. Kirkland

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Page 1: Linear Imaging Approximations4 - Cornell Universitymuller.research.engineering.cornell.edu/sites/WEELS... · 2015-05-14 · Linear Imaging Approximations Notes to accompany the lectures

David Muller 2006 1

Linear Imaging Approximations

Notes to accompany the lectures delivered by David A. Muller at the SummerSchool on Electron Microscopy: Fundamental Limits and New Science heldat Cornell University, July 13-15, 2006.

Reading and References:Chapter 1-3 of “Advanced Computing in Electron Microscopy” by E. J. Kirkland

Page 2: Linear Imaging Approximations4 - Cornell Universitymuller.research.engineering.cornell.edu/sites/WEELS... · 2015-05-14 · Linear Imaging Approximations Notes to accompany the lectures

David Muller 2006 2Single atom

Sensitivity:

Electron Energy Loss Spectrometer

Annular Dark Field (ADF) detector

yx

200 kV IncidentElectron Beam

(∆E=1 eV)

Incr

easi

ngen

ergy

loss

1 atom wide (0.2 nm) beam is scannedacross the sample to form a 2-D image

Elastic Scattering ~ "Z contrast"

Scanning Transmission Electron Microscopy

0 0.5 1 1.

ADF Signal Er M4 Edge

Distance (nm)

3 Å

P. Voyles, D. Muller, J. Grazul, P. Citrin, H. Gossmann, Nature 416 826 (2002)U. Kaiser, D. Muller, J. Grazul, M. Kawasaki, Nature Materials, 1 102 (2002)

Page 3: Linear Imaging Approximations4 - Cornell Universitymuller.research.engineering.cornell.edu/sites/WEELS... · 2015-05-14 · Linear Imaging Approximations Notes to accompany the lectures

David Muller 2006 3

ReciprocityReciprocity (or STEM vs. CTEM)(or STEM vs. CTEM)

CTEM STEM

Reciprocity (for zero-loss images):A hollow-cone image in CTEM an annular-dark field image in STEM.

Specimen

Illuminationangle

α

Collectorangle

β

Specimen

Objective Aperture

Objective Aperture

ViewingScreen Gun

Gun Detectors

However: In STEM, energy losses in the sample do not contribute to chromatic aberrations (Strong advantage for STEM in thick specimens)

Page 4: Linear Imaging Approximations4 - Cornell Universitymuller.research.engineering.cornell.edu/sites/WEELS... · 2015-05-14 · Linear Imaging Approximations Notes to accompany the lectures

David Muller 2006 4

Reciprocity

From L. Reimer, Transmission Electron Microscopy

Reciprocity: Electron intensities and ray paths in the microscope remain the same if (i) the direction of rays is reversed, and (ii) the source and detector are interchanged.

Proof follows from time-reversal symmetry of the electron trajectories and elastic scattering (to all orders).

Reciprocity does not hold for inelastic scattering:Sample is after probe forming optics in STEM - energy losses in sample do not cause chromatic blurring in the image

Sample is before the imaging optics in TEM – energy losses in the sample do cause chromatic blurring in the image. Imaging thick samples in TEM can be improved by energy filtering (so on the zero-loss image is recorded). This is not needed for STEM.

Page 5: Linear Imaging Approximations4 - Cornell Universitymuller.research.engineering.cornell.edu/sites/WEELS... · 2015-05-14 · Linear Imaging Approximations Notes to accompany the lectures

David Muller 2006 5

Reciprocity

From L. Reimer, Transmission Electron Microscopy

Image recordedIn parallel

Image recorded serially by scanning the source

Condensoraperture(before sample)

Objective aperture

(after sample)

Controls coherence

Controls resolution

Collectoraperture

Condensoraperture

STEMTEM

Page 6: Linear Imaging Approximations4 - Cornell Universitymuller.research.engineering.cornell.edu/sites/WEELS... · 2015-05-14 · Linear Imaging Approximations Notes to accompany the lectures

David Muller 2006 6

Geometric Optics Geometric Optics –– A Simple LensA Simple Lens

x x

Objectplane

imageplane

Backfocalplane

frontfocalplane

Lensat z=0

α

Focusing: angular deflection of ray α distance from optic axis

Page 7: Linear Imaging Approximations4 - Cornell Universitymuller.research.engineering.cornell.edu/sites/WEELS... · 2015-05-14 · Linear Imaging Approximations Notes to accompany the lectures

David Muller 2006 7

Geometric Optics Geometric Optics –– A Simple LensA Simple Lens

x x

Objectplane

imageplane

Backfocalplane

frontfocalplane

Lensat z=0

α1

α1

Wavefronts in focal plane are the Fourier Transform of the Image/Object

α1

Page 8: Linear Imaging Approximations4 - Cornell Universitymuller.research.engineering.cornell.edu/sites/WEELS... · 2015-05-14 · Linear Imaging Approximations Notes to accompany the lectures

David Muller 2006 8

α

λ1

0 =kλαrr

≈k

{ } xdexfxfkF xki rrrr rr 2.2)()()( π∫∞

∞−==F

All plane waves at angle αpass through the same pointIn the focal plane.

If the component of the wavevectorin the focal plane is ,thena function in the back focal plane, F(k)is the Fourier transform of a function in the image plane f(x)

kr

Fourier Transforms

{ } sdekFkFxf xki rrrr rr.21 )()()( π−∞

∞−

− ∫==F

Forward Transform: (image- > diffraction)

Inverse Transform: (diffraction ->image)

Note: in optics, we define k=1/d, while in physics k=2π/d

Page 9: Linear Imaging Approximations4 - Cornell Universitymuller.research.engineering.cornell.edu/sites/WEELS... · 2015-05-14 · Linear Imaging Approximations Notes to accompany the lectures

David Muller 2006 9

FT of A Circular Aperture

⎪⎩

⎪⎨⎧

>

<=

max

max

,0

,1)(

kk

kkkA r

rr

FT

rkrkJrA

max

max1

2)2(2)(

πππ=

An ideal lens would have an aperture A(k)=1 for all k. However, there is a maximum angle that can be accepted by the lens, αmax, and so there is a cut-off spatial frequency kmax= k0 αmax,

Focal PlaneImage Plane

Page 10: Linear Imaging Approximations4 - Cornell Universitymuller.research.engineering.cornell.edu/sites/WEELS... · 2015-05-14 · Linear Imaging Approximations Notes to accompany the lectures

David Muller 2006 10

The Aperture Function in the Image Plane

0

1

2

3

-3 -2 -1 0 1 2 3

A(x)

x

rkrkJrA

max

max1

2)2(2)(

πππ=

First zero at 2πkmaxr = 0.61

0

4

8

-3 -2 -1 0 1 2 3|A

(x)|2

x

2)(rA

The image of single point becomes blurred to (why?) 2)(rA

Page 11: Linear Imaging Approximations4 - Cornell Universitymuller.research.engineering.cornell.edu/sites/WEELS... · 2015-05-14 · Linear Imaging Approximations Notes to accompany the lectures

David Muller 2006 11

Linear Imagingf(x) g(x)h(x)

imageobject Blurring function

( ) )()(')'()'( xhxfdxxxhxfxg ⊗≡−= ∫∞

∞−

Image = object convolved (symbol ) with the blurring function, h(x)⊗

(Kirkland chapter 3)

( ) )()( kHkFkG =In Fourier Space, convolution becomes multiplication (and visa-versa)

Point spread function

Contrast Transfer Function

Page 12: Linear Imaging Approximations4 - Cornell Universitymuller.research.engineering.cornell.edu/sites/WEELS... · 2015-05-14 · Linear Imaging Approximations Notes to accompany the lectures

David Muller 2006 12

Contrast Transfer FunctionThe contrast transfer function (CTF) is the Fourier Transform of the point spread function (PSF)

The CTF describes the response of the system to an input plane wave.By convention the CTF is normalized to the response at zero frequency (i.e. DC level)

( ))0()(~

HkHkH =

A low-pass filter

k

( )kH~

A high-pass filter

k

( )kH~

(division by k in Fourier Space->integration in real space)

(multiplication by k in Fourier Space->differentiation in real space)

smoothing Edge-enhancing

Page 13: Linear Imaging Approximations4 - Cornell Universitymuller.research.engineering.cornell.edu/sites/WEELS... · 2015-05-14 · Linear Imaging Approximations Notes to accompany the lectures

David Muller 2006 13

High-pass filter

Edge-enhancing

Original image

A high-pass filter

Final image

Fourier Transform

x

Inverse Transform

=

Page 14: Linear Imaging Approximations4 - Cornell Universitymuller.research.engineering.cornell.edu/sites/WEELS... · 2015-05-14 · Linear Imaging Approximations Notes to accompany the lectures

David Muller 2006 14smoothing

Original image

A low-pass filter

Final image

Fourier Transform

x

Inverse Transform

=

Low pass filter

Page 15: Linear Imaging Approximations4 - Cornell Universitymuller.research.engineering.cornell.edu/sites/WEELS... · 2015-05-14 · Linear Imaging Approximations Notes to accompany the lectures

David Muller 2006 15

The Aperture Function in the Image Plane

0

1

2

3

-3 -2 -1 0 1 2 3

A(x)

x

rkrkJrA

max

max1

2)2(2)(

πππ=

First zero at 2πkmaxr = 0.61, with kmax = (2π/λ)θmax

i.e. r = 0.61/(2πkmax)~ 0.61 λ/θmax

0

4

8

-3 -2 -1 0 1 2 3|A

(x)|2

x

2)(rA

The image of single point becomes blurred to (why?) 2)(rA

Page 16: Linear Imaging Approximations4 - Cornell Universitymuller.research.engineering.cornell.edu/sites/WEELS... · 2015-05-14 · Linear Imaging Approximations Notes to accompany the lectures

David Muller 2006 16

ε

From Wyant and Creath

Adding a central beam-stopto the aperture increases the tails on the probe but only slighty narrows the central peak.

Is this the best we can do?

Page 17: Linear Imaging Approximations4 - Cornell Universitymuller.research.engineering.cornell.edu/sites/WEELS... · 2015-05-14 · Linear Imaging Approximations Notes to accompany the lectures

David Muller 2006 17

Coherent vs. Incoherent Imaging(Kirkland, Chapter 3.3)

Lateral Coherence of the Electron Beamfor an angular spread βmax (Born&Wolf):

max

16.0β

λ≈∆ cohx

Image resolutionmaxαλ

≈d

Combining these 2 formula we get:

Coherent imaging:

Incoherent imaging:

maxmax 16.0 αβ <<

maxmax 16.0 αβ >> (usually ) maxmax 3αβ >

Wave Interference inside allows us to measure phase changes

as wavefunctions add:

α

β

cohx∆

No interference, phase shifts are not detected. Intensities add

**222abbababa ψψψψψψψψ +++=+

22ba ψψ +

obj

Page 18: Linear Imaging Approximations4 - Cornell Universitymuller.research.engineering.cornell.edu/sites/WEELS... · 2015-05-14 · Linear Imaging Approximations Notes to accompany the lectures

David Muller 2006 18

Coherent Imaging(Kirkland 3.1)

Convolve wavefunctions, measure intensities

( ) )()( xAxx objectimage ⊗=ψψ

( ) ( ) 2xxg imageψ=

( )xobjectψ

( )kimageψ

Lens has a PSF A(x)

We measure the intensity, not the wavefunction

( ) )()( kAkk objectimage ⋅=ψψ

( ) 2)()( xAxxg object ⊗= ψ

α

β~0

Page 19: Linear Imaging Approximations4 - Cornell Universitymuller.research.engineering.cornell.edu/sites/WEELS... · 2015-05-14 · Linear Imaging Approximations Notes to accompany the lectures

David Muller 2006 19

Incoherent Imaging (Kirkland 3.4)

Convolve intensities, measure intensities

( ) 222)()( xAxx objectimage ⊗= ψψ

( ) ( ) 2xxg imageψ=

( )xobjectψ

( )kimageψ

We measure the intensity, not the wavefunction

( ) [ ] [ ])()()()( ** kAkAkkk objectobjectimage ⊗⋅⊗= ψψψ

( ) 22)()( xAxxg object ⊗= ψ

α

β Lens has a PSF2)(xA

Lost phase information, only work with intensities

CTF

Page 20: Linear Imaging Approximations4 - Cornell Universitymuller.research.engineering.cornell.edu/sites/WEELS... · 2015-05-14 · Linear Imaging Approximations Notes to accompany the lectures

David Muller 2006 20

Coherent vs Incoherent Imaging

Phase Object

Amplitude Object

Contrast Transfer Function

We measure

Point Spread Function

IncoherentCoherent

( ) 2)()( xAxxg object ⊗= ψ ( ) 22

)()( xAxxg object ⊗= ψ

)(xA

[ ])(Im kA

2)(xA

2* )()( kAkA ⊗[ ])(Re kA

Page 21: Linear Imaging Approximations4 - Cornell Universitymuller.research.engineering.cornell.edu/sites/WEELS... · 2015-05-14 · Linear Imaging Approximations Notes to accompany the lectures

David Muller 2006 21

Convolutions(from Linear Imaging Notes, Braun)

Page 22: Linear Imaging Approximations4 - Cornell Universitymuller.research.engineering.cornell.edu/sites/WEELS... · 2015-05-14 · Linear Imaging Approximations Notes to accompany the lectures

David Muller 2006 22

Resolution Limits Imposed by the Diffraction Limit(Less diffraction with a large aperture – must be balanced against Cs)

Lens

000

61.0sin61.0

αλ

αλ

≈=n

d

Gaussian image plane

The image of a point transferred through a lens with a circular aperture of

semiangle α0 is an Airy disk of diameter

0d

(for electrons, n~1, and the angles are small)

α0

(0.61 for incoherent imaging e.g. ADF-STEM, 1.22 for coherent or phase contrast,. E.g TEM)

Page 23: Linear Imaging Approximations4 - Cornell Universitymuller.research.engineering.cornell.edu/sites/WEELS... · 2015-05-14 · Linear Imaging Approximations Notes to accompany the lectures

David Muller 2006 23

Electron Wavelength vs. Accelerating Voltage

0.00871890.813521 MeV

0.0196870.77653300 keV

0.0250780.69531200 keV

0.0370130.54822100 keV

0.122040.01919410 keV

0.387630.0624691 keV

1.22630.0062560100 V

12.2640.00197841 V

λ (Ǻ)v/cAccelerating Voltage

0

0.01

0.02

0.03

0.04

0.05

0 200 400 600 800 1000

RelativisticNon-relativistic

λ (A

ngst

rom

s)

Electron Kinetic Energy (keV)

Page 24: Linear Imaging Approximations4 - Cornell Universitymuller.research.engineering.cornell.edu/sites/WEELS... · 2015-05-14 · Linear Imaging Approximations Notes to accompany the lectures

David Muller 2006 24

Resolution Limits Imposed by Spherical Aberration, C3(Or why we can’t do subatomic imaging with a 100 keV electron)

Lens

33min 2

1 αCd =

Plane ofLeast Confusion

Gaussian image plane

C3=0

C3>0

For Cs>0, rays far from the axis are bent too strongly and come to a crossover before the gaussian image plane.

For a lens with aperture angle α, the minimum blur is

mind

Typical TEM numbers: C3= 1 mm, α=10 mrad → dmin= 0.5 nm

Page 25: Linear Imaging Approximations4 - Cornell Universitymuller.research.engineering.cornell.edu/sites/WEELS... · 2015-05-14 · Linear Imaging Approximations Notes to accompany the lectures

David Muller 2006 25

Balancing Spherical Aberration against the Diffraction Limit(Less diffraction with a large aperture – must be balanced against Cs)

2303

2

0

220

2

2161.0

⎟⎠⎞

⎜⎝⎛+⎟⎟

⎞⎜⎜⎝

⎛=+≈ α

αλ Cddd stot

For a rough estimate of the optimum aperture size, convolve blurring terms-If the point spreads were gaussian, we could add in quadrature:

1

10

100

1 10

Prob

e Si

ze (A

ngst

rom

s)

α (mrad)

ds

d0

Optimal apertureAnd minimum

Spot size

4/34/13min 66.0 λCd =

Page 26: Linear Imaging Approximations4 - Cornell Universitymuller.research.engineering.cornell.edu/sites/WEELS... · 2015-05-14 · Linear Imaging Approximations Notes to accompany the lectures

David Muller 2006 26

Balancing Spherical Aberration against the Diffraction Limit(Less diffraction with a large aperture – must be balanced against C3)

4/34/13min 43.0 λCd =

A more accurate wave-optical treatment, allowing less than λ/4 of phase shift across the lens gives

Minimum Spot size:

4/1

3

4⎟⎟⎠

⎞⎜⎜⎝

⎛=

CoptλαOptimal aperture:

At 200 kV, λ=0.0257 Ǻ, dmin = 1.53Ǻ and αopt = 10 mrad

At 1 kV, λ=0.38 Ǻ, dmin = 12 Ǻ and αopt = 20 mrad

We will now derive the wave-optical case

Page 27: Linear Imaging Approximations4 - Cornell Universitymuller.research.engineering.cornell.edu/sites/WEELS... · 2015-05-14 · Linear Imaging Approximations Notes to accompany the lectures

David Muller 2006 27

Spherical Aberration (C3) as a Phase Shift

Lens

Gaussian image plane

C3 =0

C3 >0

Phase shift from lens aberrations:

∆s = path difference due to wave aberration

Wavefronts (lines of equal phase)

( ) ( )αλπαχ s∆=

2

α

For spherical aberration but there are other terms as well ( ) 434

1 αα Cs =∆

(remember wave exp[ i(2π/λ) x] has a 2π phase change every λ)

Page 28: Linear Imaging Approximations4 - Cornell Universitymuller.research.engineering.cornell.edu/sites/WEELS... · 2015-05-14 · Linear Imaging Approximations Notes to accompany the lectures

David Muller 2006 28J.C. Wyant, K. Creath, APPLIED OPTICS AND OPTICAL ENGINEERING, VOL. Xl

An Arbitrary Distortion to the Wavefront can be expanded in a power series(Either Zernike Polynomials or Seidel aberration coefficients)

=)',( θρχ

Zernike Polynomials

Page 29: Linear Imaging Approximations4 - Cornell Universitymuller.research.engineering.cornell.edu/sites/WEELS... · 2015-05-14 · Linear Imaging Approximations Notes to accompany the lectures

David Muller 2006 29

An Arbitrary Distortion to the Wavefront can be expanded in a power seriesSeidel Aberration Coefficients (Seidel 1856)

Or more generally

EM community notation is similar:

C5,0 and C7,0 are also important

Page 30: Linear Imaging Approximations4 - Cornell Universitymuller.research.engineering.cornell.edu/sites/WEELS... · 2015-05-14 · Linear Imaging Approximations Notes to accompany the lectures

David Muller 2006 30

An Arbitrary Distortion to the Wavefront can be expanded in a power seriesHere are some terms plotted out

Page 31: Linear Imaging Approximations4 - Cornell Universitymuller.research.engineering.cornell.edu/sites/WEELS... · 2015-05-14 · Linear Imaging Approximations Notes to accompany the lectures

David Muller 2006 31

Phase Shift in a Lens

( ) ( )αχαϕ ie=

Electron wavefunction in focal plane of the lens

⎟⎠⎞

⎜⎝⎛ ∆−= 24

3 21

412)( αα

λπαχ fC

Where the phase shift from the lens is

Keeping only spherical aberration and defocus

(Kirkland, Chapter 2.4)

( )

⎪⎩

⎪⎨⎧

>

<=

max

max

,0

,)(

kk

kkekA

ki

r

rr

χ

Page 32: Linear Imaging Approximations4 - Cornell Universitymuller.research.engineering.cornell.edu/sites/WEELS... · 2015-05-14 · Linear Imaging Approximations Notes to accompany the lectures

David Muller 2006 32

-2π

0

π

0 2 4 6 8 10 12

Phas

e Sh

ift (r

ad)

α (mrad)

α0

π/2

χ(α)

1/4C3α4

1/2∆fα2

Goal is to get the smallest phase shift over the largest range of anglesOptimizing defocus and aperture size for ADF

Step 1: Pick largest tolerable phase shift: in EM λ/4=π/2, in light optics λ/10Step 2: Use defocus to oppose the spherical aberration shift within the widest π/2 bandStep 3: Place aperture at upper end of the π/2 band

Page 33: Linear Imaging Approximations4 - Cornell Universitymuller.research.engineering.cornell.edu/sites/WEELS... · 2015-05-14 · Linear Imaging Approximations Notes to accompany the lectures

David Muller 2006 33

Goal is to get the smallest phase shift over the largest range of angles

Step 1: We assume a phase shift <λ/4=π/2 is small enough to be ignored

Step 2: Use defocus to oppose the spherical aberration shift within the widest π/2 band

4/34/13min 43.0 λCd =

Minimum Spot size:

4/1

3

4⎟⎟⎠

⎞⎜⎜⎝

⎛=

CoptλαOptimal aperture:

opt

λ61.0min ≈

Step 3: Place aperture at upper end of the π/2 band & treat as diffraction limited

Optimal defocus: ( ) 21

λSopt Cf =∆

(The full derivation of this is given in appendix A of Weyland&Muller

Optimizing defocus and aperture size for ADF

Page 34: Linear Imaging Approximations4 - Cornell Universitymuller.research.engineering.cornell.edu/sites/WEELS... · 2015-05-14 · Linear Imaging Approximations Notes to accompany the lectures

David Muller 2006 34

(derivation is different, given in Kirkland 3.1)

4/34/13min 77.0 λCd =

Minimum Spot size:

4/1

3

6⎟⎟⎠

⎞⎜⎜⎝

⎛=

CoptλαOptimal aperture:

opt

λ22.1min ≈

Optimal defocus: ( ) 21

5.0 λSopt Cf =∆

(The full derivation of this is given in appendix A of Weyland&Muller

Optimizing defocus and aperture size for TEM

Look for a uniform phase shift of ±π/2 across lens

Page 35: Linear Imaging Approximations4 - Cornell Universitymuller.research.engineering.cornell.edu/sites/WEELS... · 2015-05-14 · Linear Imaging Approximations Notes to accompany the lectures

David Muller 2006 35

Phase Shift in a Lens with an Aberration Corrector

( ) ( )αχαϕ ie=

Electron wavefunction in focal plane of the lens

⎟⎠⎞

⎜⎝⎛ +++∆−= K4

54

32

61

41

212)( ααα

λπαχ CCf

Where the phase shift from the lens is

O.L. Krivanek et al. Ultramicroscopy 96 (2003) 229

5th order spherical aberration

Page 36: Linear Imaging Approximations4 - Cornell Universitymuller.research.engineering.cornell.edu/sites/WEELS... · 2015-05-14 · Linear Imaging Approximations Notes to accompany the lectures

David Muller 2006 36

-2

-1

0

1

2

3

4

0 5 10 15 20 25 30

Phas

e Sh

ift (r

ad)

α (mrad)

α0

π/2

χ(α)

-1/4C3α4

1/2∆fα2

1/6C5α6

Goal is to get the smallest phase shift over the largest range of angles

Optimizing Aperture size with a C3 Corrector

Step 1: Pick largest tolerable phase shift: in EM λ/4=π/2, in light optics λ/10Step 2: Use defocus and C3 (now negative) to balance C5 within the widest π/2 bandStep 3: Place aperture at upper end of the π/2 band

Page 37: Linear Imaging Approximations4 - Cornell Universitymuller.research.engineering.cornell.edu/sites/WEELS... · 2015-05-14 · Linear Imaging Approximations Notes to accompany the lectures

David Muller 2006 37

Goal is to get the smallest phase shift over the largest range of angles

Optimizing defocus and aperture size

Step 1: We assume a phase shift <λ/4=π/2 is small enough to be ignored

Step 2: Use C3 to oppose the C5 shift within the widest π/2 band

6/56/15min 42.0 λCd =

Minimum Spot size:

6/1

5

6/1

5

47.1323

⎟⎟⎠

⎞⎜⎜⎝

⎛=⎟⎟

⎞⎜⎜⎝

⎛=

CCoptλλαOptimal aperture:

opt

λ61.0min ≈

Step 3: Place aperture at upper end of the π/2 band & treat as diffraction limited

Optimal C3: ( ) 312

533 CC opt λ−=

Page 38: Linear Imaging Approximations4 - Cornell Universitymuller.research.engineering.cornell.edu/sites/WEELS... · 2015-05-14 · Linear Imaging Approximations Notes to accompany the lectures

David Muller 2006 38

Contrast Transfer Functions of a lens with Aberrations

Coherent Imaging CTF: [ ] ( )[ ]kSinkA χ=)(Im

( )

⎪⎩

⎪⎨⎧

>

<=

max

max

,0

,)(

kk

kkekA

ki

r

rr

χ

Aperture functionof a real lens

Generated with ctemtf

0 0.1 0.2 0.3 0.4 0.5 0.6-1

-0.8

-0.6

-0.4

-0.2

0

0.2

0.4

0.6

0.8

1

Spatial Frequency (in 1/A)

MTF

E= 200keV, Cs= 1.2mm, df= 600A, Beta= 0mrad, ddf= 0A

coherent

partiallycoherent

Page 39: Linear Imaging Approximations4 - Cornell Universitymuller.research.engineering.cornell.edu/sites/WEELS... · 2015-05-14 · Linear Imaging Approximations Notes to accompany the lectures

David Muller 2006 39

Contrast Transfer Functions of a lens with Aberrations

Incoherent Imaging CTF:

( )

⎪⎩

⎪⎨⎧

>

<=

max

max

,0

,)(

kk

kkekA

ki

r

rr

χ

Aperture functionof a real lens

Generated with stemtf

2* )()( kAkA ⊗

0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8-0.2

0

0.2

0.4

0.6

0.8

1

1.2

k in inv. Angstroms

MTF

Cs= 1.2mm, df= 400A, E= 200keV, OA= 10mrad, d0=0A

550A

900A

0A

CTF for different defocii

Theorem:Aberrations will neverIncrease the MTFFor incoherent imaging

Page 40: Linear Imaging Approximations4 - Cornell Universitymuller.research.engineering.cornell.edu/sites/WEELS... · 2015-05-14 · Linear Imaging Approximations Notes to accompany the lectures

David Muller 2006

Phase vs. ADF Contrast

TEM: Bandpass filter:low frequencies removed = artificial sharpeningADF : Lowpass filter: 3 x less contrast at 0.3 nm than HRTEM

-1

-0.5

0

0.5

1

0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8

STEMHRTEM

Con

tras

t Tra

nsfe

r Fun

ctio

n

k (Inverse Angstroms)

(JEOL 2010F, Cs=1mm)

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David Muller 2006

Phase vs. ADF ContrastRandom white noise

ADF CTFBF CTF

a-C support films look like this

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David Muller 2006

Phase vs. ADF Contrast

David Muller, 2000

ADF : 40% narrower FWHM, smaller probe tails

(JEOL 2010F, Cs=1mm, Scherzer aperture and focus)

0

0.1

0.2

0.3

0.4STEM-CTEM

PSF

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David Muller 2006 43

CTF

PSF

(200 kV, C3=1.2 mm)

Effect of defocus and aperture size on an ADF-STEM image

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David Muller 2006

ADF of [110] Si at 13 mr, C3=1mm

Strong {111} fringes Strong {311} fringes

2 clicks overfocus

Best 111 and 311 fringes occur at different focus settingsIf the aperture is too large

What happens with a too-large aperture?

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David Muller 2006 45

Aperture Size is Critical(200 kV C3=1mm)

0

0.2

0.4

0.6

0.8

1

0 0.2 0.4 0.6 0.8

13 mrad10 mrad

CTF

k (1/A){111}

Si

{220}Si

30% increase in aperture size ~50% decrease in contrast for Si {111} fringes

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David Muller 2006 46

Aperture Size is Critical

0

5

10

15

20

25

30

0 0.2 0.4 0.6 0.8 1

10 mrad13 mrad

Bea

m C

urre

nt E

nclo

sed

(pA

)

Radius (nm)

r80%

= 0.25 nm

r80%

= 0.8 nm

r64%

= 0.1 nm

All the extra probe current falls into the tails of the probe – reduces SNR

(200 kV C3=1mm)

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David Muller 2006 47

Finding the Aperture with the smallest probe tails

(Kirkland, Fig 3.11)

4/1

3

22.1 ⎟⎟⎠

⎞⎜⎜⎝

⎛=

Coptλα

( ) 21

min 8.0 λSCf =∆

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David Muller 2006 48

Depth of Field, Depth of Focus

200

061.0

tan αλ

α≈=

dD

For d=0.2 nm, α=10 mrad, D0= 20 nm For d= 2 nm, α=1 mrad, D0= 2000 nm!

For d= 0.05 nm, α= 50 mrad, D0= 1 nm!

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David Muller 2006 49

Depth of Field in ADF-STEM: 3D Microscopy?

D=6 nm: θ0 = 25 mr

(300 kV, 25 mrad)

0

1

2

3

4

5

6

-300 -200 -100 0 100 200 300

25 mrad10 mrad

Peak

Inte

nsity

Depth (A)

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David Muller 2006 50

Depth of Field in ADF-STEM: 3D Microscopy?

1

10

100

0 20 40 60 80 100

100 kV200 kV300 kV

Dep

th R

esol

utio

n (A

)

Probe Forming Semi-Angle (mrad)

D=1nm: θ0 > 50mr

Today: D~ 6-8 nm SuperSTEM: ~1 nm

Cs>0

Cs~0

C5~0

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David Muller 2006 51

Does Channeling Destroy the 3D Resolution?(Multislice Simulation of [110] Si @ 200 kV, 50 mrad)

0

0.005

0.01

0.015

0.02

0.025

0.03

0.035

0.04

0 5 10 15 20 25 30

Sign

al (F

ract

ion

of I 0)

Thickness (nm)

∆f=20 nm∆f=1 nm

NO! (at least in plane – relative intensities between different depths are still out)

Fringe contrast

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David Muller 2006 52

Summary

Contrast Transfer Functions: Coherent:

Lower resolution, higher contrastEasy to get contrast reversals with defocusAperture size only affects cutoff in CTF

Incoherent:

Higher resolution, lower contrastHarder to get contrast reversals with defocusAperture size is critical – affects CTF at all frequencies

4/34/13min 43.0 λCd =

4/1

3

4⎟⎟⎠

⎞⎜⎜⎝

⎛=

Coptλα

4/34/13min 77.0 λCd =

4/1

3

6⎟⎟⎠

⎞⎜⎜⎝

⎛=

Coptλα