Coherent Diffraction Imaging (CDI) with X-Rays School on Synchrotron and Free-Electron-Laser Methods for Multidisciplinary Applications ICTP Trieste, May 15, 2018 Anders Madsen European X-Ray Free-Electron Laser Facility Hamburg, Germany anders.madsen@xfel.eu
2 Anders Madsen, European XFEL Outline (50 min) (5-10 min, maybe) (30 min) Motivation - BREAK - Sources of Coherent X-rays X-ray Imaging The European XFEL project X-ray Coherence CDI science at XFELs All the tricks of CDI Summary Image reconstruction Related methods Applications
3 Anders Madsen, European XFEL Coherent scattering. Motivation Slide courtesy of I. Vartaniants (DESY)
4 Anders Madsen, European XFEL Coherent scattering. Motivation Isolated object Static scattering Coherent Diffraction Imaging (CDI): Dynamic scattering Ensemble of objects Correlation spectroscopy: Temporal: XPCS Spatial: XCCA
5 Anders Madsen, European XFEL Coherent scattering. Motivation Diffraction imaging of biomolecules with coherent femtosecond X-FEL pulses Very much excitement, now for >15 years: Coulomb explosion of T4 lysozyme R. Neutze et al., Nature 406 , 752 (2000)
6 Anders Madsen, European XFEL Coherent scattering. Motivation Diffraction imaging of biomolecules with coherent femtosecond X-FEL pulses Simulated coherent scattering image (speckle) of a T4 lysozyme molecule R. Neutze et al., Nature 406 , 752 (2000)
7 Anders Madsen, European XFEL Different regimes of lensless X-ray imaging Fresnel diffraction Fraunhofer diffraction near-field far-field size: a X-rays L ~a 2 / l L >> a 2 / l L~cm L~m Absorption Phase contrast In-line holography Coherent Diffraction Imaging (CDI) Koch et al. (1998) Zhang (2003) Röntgen (1895)
8 Anders Madsen, European XFEL Different regimes of lensless X-ray imaging Absorption regime Easy reconstruction based on attenuation 3D tomographic reconstruction, inverse Radon transformation Phase contrast regime Edge enhanced contrast Transport-of-intensity (TIE) equation Holotomographic reconstruction (Talbot effect) In-line holographic regime Holographic reconstuction (detector dependent resolution) Twin image problem Coherent diffraction imaging Tricky data treatment Resolution like in scattering, i.e. D min = 2 p /Q max ….
9 Anders Madsen, European XFEL Coherence Quantum mechanics probability amplitudes (waves) Optics Young’s double slit experiment, interference X-ray (and neutron) scattering It’s all about probability amplitudes and interference !!! Example: Young’s double slit experiment (Thomas Young, 1801) [wave-character of quantum mechanical particles (photons)] P=| S j F j | 2 Plane, mono- F : probability amplitude chromatic wave F j ~ exp[-i( w t-kl j )] w =ck, k=2 p / l , l j (L,y) Laser beam P(y) ~ cos 2 ( p yd/ l L) D y= l L/d
Anders Madsen, European XFEL Coherence lengths Coherence N l d L (N-1)( l+Dl) p 2p 0 Longitudinal Transverse l l = l 2 /(2 Dl) l t = l L /2 d coherence length coherence length
11 Anders Madsen, European XFEL The CDI Challenge I(q) Using a lens to form the image Question Speckle pattern does not look like sample. How to determine the sample from I(q) ?
12 Anders Madsen, European XFEL The phase problem in scattering | q | = 2 p / l Q = q in - q out E(Q) | Q | = 4 p sin( q )/ l q out q in r (R) r E ( Q ) ~ ( R ) exp[ i Q R ] d R Reciprocal space E( Q ) FT r ( R ) Real space = = * 2 I ( Q ) E ( Q ) E ( Q ) | E ( Q ) | But…
13 Anders Madsen, European XFEL The phase problem in scattering Aim: To find E(Q) from measurements of I(Q) = |E(Q)| 2 But E(Q) is a complex number with both phase and amplitude E(Q) = A exp(i f ) Measurement: I(Q) = |E(Q)| 2 = A 2 No direct access to phase…. Exercise FT of XFEL logo E(Q) I(Q) = |E(Q)| 2 (simulation of coherent scattering) Construct E(Q): A = sqrt(I(Q)) Take random phases f Inverse FT transform of A exp(i f )
14 Anders Madsen, European XFEL Phase matters! r (R) |FT{ r (R)}| 2 = |E(Q)| 2 = I(Q) 1 0.9 0.8 ampl 0.7 0.6 A 0.5 FT 0.4 0.3 3 2 phase 1 0 f -1 -2 -3
15 Anders Madsen, European XFEL Phase matters! r (R) I(Q) as amplitude 1.4 1.2 1 ampl 0.8 0.6 FT -1 {E(Q)} 0.4 0.2 3 2 1 phase 3 0 2 -1 1 0 -2 -1 -3 random phases -2 -3
16 Anders Madsen, European XFEL Phase is more important than amplitude Fourier transform my dog A e i f 50 100 Keep amplitudes A 150 Substitute with another image’s phases f 200 250 Inverse Fourier transform 300 350 400 100 200 300 400 500 600 The phases came from a cat… 50 100 50 100 150 150 200 200 250 250 300 300 350 350 400 100 200 300 400 500 600 400 100 200 300 400 500 600
17 Anders Madsen, European XFEL How can the phase be determined? r I N 2 pixels N 2 pixels 2N 2 unknowns N 2 equations Question How can we make this solvable? Unique solution?
18 Anders Madsen, European XFEL N 2 pixels, 2N 2 unknowns Intensity measured in N 2 pixels N 2 equations 1 I (Q) 0.9 0.8 ampl 0.7 0.6 0.5 0.4 0.3 3 2 1 phase 0 -1 -2 -3
19 Anders Madsen, European XFEL Finite support constraint N I (Q) 1 0.9 0.8 ampl 0.7 0.6 0.5 0.4 0.3 N/sqrt(2) 3 2 1 phase 0 -1 -2 -3
20 Anders Madsen, European XFEL Finite support constraint N I (Q) 1 0.9 ampl 0.8 0.7 0.6 0.5 0.4 0.3 N/3 3 2 phase 1 0 -1 -2 -3
21 Anders Madsen, European XFEL Finite support constraint N I (Q) ampl 1 0.9 0.8 0.7 0.6 0.5 0.4 0.3 N/6 phase 3 2 1 0 -1 -2 -3 Angular speckle size ~ l /sample size
22 Anders Madsen, European XFEL Oversampling David Sayre (1952)
23 Anders Madsen, European XFEL Basic experimental requirements for CDI In 2D: - Need that sample dimension a is at least 2 smaller than beam size D: a < D/ 2 (reduce number of unknowns) - Need to measure the speckle pattern with a resolution that is at least 2 finer that speckle size in both dimensions. Therefore, the pixel size D p must fulfil: D p/L < l /(a 2), where L is the sample - detector distance (increase number of equations) - Beam must be coherent over the sample, otherwise the FT relationship does not hold Question How to solve the non-linear system of N 2 equations and M unknowns (M < N 2 ) to find r (R)?
24 Anders Madsen, European XFEL Iterative Phase Retrieval Algorithm FT Is this the real r ( x ) E(Q) solution? real space constraints reciprocal space constraints = r ' ( x ) E ( Q ) I( Q ) E ' (Q) random phases FT -1 Real space constraints: Reciprocal space constraints finite support ( r = 0 outside sample) E ( Q ) I( Q ) real r ? positive r ? other?
25 Anders Madsen, European XFEL Iterative Phase Retrieval Algorithm 4x4 times Computer simulation oversampled I(Q) FT E(Q) positive, real r (R) = | E ' ( Q ) | I ( Q ) shrink wrap support r ’(R ) E’(Q) FT -1 = f E ' ( Q ) I ( Q ) exp[ i ( Q )] random phases f
26 Anders Madsen, European XFEL Iterative Phase Retrieval Algorithm R. W. Gerchberg and W. O. Saxton, Optik 35, 237 (1972) J.R. Fienup, Appl. Opt. 21 , 2758 (1982) Review: R. Millane et al ., J. Opt. Soc. Am. A14 , 568 (1997) Difference map: V. Elser, J. Opt. Soc. Am. A20 , 40 (2003)
27 Anders Madsen, European XFEL 1 st Experimental Demonstration with X-rays J. Miao et al , Nature 400 , 342 (1999)
28 Anders Madsen, European XFEL Bio-CDI with soft X-rays reconstructed CDI from a yeast cell (freeze-dried) image Speckle pattern, l =16.5 Å (ALS) No shrink warp, “hand drawn” support Difference map algorithm Averaging iterates (Elser & Thibault) Resolution ~ 30 nm D. Shapiro et al , PNAS 102 , 15343 (2005)
29 Anders Madsen, European XFEL Setup for Biological CDI In-line optical microscope Sample preparation plunge-freezing
30 Anders Madsen, European XFEL Bio-CDI with hard X-rays D. Radiodurans cell 1 m m Data taken at ID10, ESRF Resolution about 30 nm Frozen, hydrated cells Goal: ~10 nm E. Lima et al , PRL 103 , 198102 (2009)
31 Anders Madsen, European XFEL Ptychography The requirement that sample < beam is a limitation for many practical purposes Can we find another constraint so the phase can be determined? The answer is : Ptychography! Ptych- : (to) fold (from Greek)
32 Anders Madsen, European XFEL Ptychography Science, 321, 379-382 (2008) SEM absorption Buried zone plate
33 Anders Madsen, European XFEL Ptychography Proc. Natl. Acad. Sci. USA 107, p. 529-534 (2010) D. Radiodurans Setup at cSAXS beamline, SLS
34 Anders Madsen, European XFEL Question Do you know another method where the phases are encoded in the image, i.e. easy reconstruction?
35 Anders Madsen, European XFEL Holography Famous method to encode the phases in the intensity pattern In-line holography (electrons, Gabor 1947); Laser (1960), 1 st optical hologram ~1962 Holographic reconstruction Recording Dennis Gabor Nobel prize 1971 First SR hologram:
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