Phase problem

In physics, the phase problem is the problem of loss of information concerning the phase that can occur when making a physical measurement. The name comes from the field of X-ray crystallography, where the phase problem has to be solved for the determination of a structure from diffraction data.[1] The phase problem is also met in the fields of imaging and signal processing.[2] Various approaches of phase retrieval have been developed over the years.

Overview

Light detectors, such as photographic plates or CCDs, measure only the intensity of the light that hits them. This measurement is incomplete (even when neglecting other degrees of freedom such as polarization and angle of incidence) because a light wave has not only an amplitude (related to the intensity), but also a phase, which is systematically lost in a measurement.[2] In diffraction or microscopy experiments, the phase part of the wave often contains valuable information on the studied specimen. The phase problem constitutes a fundamental limitation ultimately related to the nature of measurement in quantum mechanics.

In X-ray crystallography, the diffraction data when properly assembled gives the amplitude of the 3D Fourier transform of the molecule's electron density in the unit cell.[1] If the phases are known, the electron density can be simply obtained by Fourier synthesis. This Fourier transform relation also holds for two-dimensional far-field diffraction patterns (also called Fraunhofer diffraction) giving rise to a similar type of phase problem.

Phase retrieval

There are several ways to retrieve the lost phases. The phase problem must be solved in x-ray crystallography,[1] neutron crystallography,[3] and electron crystallography.[4][5][6]

Not all of the methods of phase retrieval work with every wavelength (x-ray, neutron, and electron) used in crystallography.

Direct (ab initio) Methods

If the crystal diffracts to high resolution (<1.2 Å), the initial phases can be estimated using direct methods.[1] Direct methods can be used in x-ray crystallography,[1] neutron crystallography,[7] and electron crystallography.[4][5]

A number of initial phases are tested and selected by this method. The other is the Patterson method, which directly determines the positions of heavy atoms. The Patterson function gives a large value in a position which corresponds to interatomic vectors. This method can be applied only when the crystal contains heavy atoms or when a significant fraction of the structure is already known. Because of the development of computers, the direct method is now the most useful technique for solving the phase problem.

For molecules whose crystals provide reflections in the sub-Ångström range, it is possible to determine phases by brute force methods, testing a series of phase values until spherical structures are observed in the resultant electron density map. This works because atoms have a characteristic structure when viewed in the sub-Ångström range. The technique is limited by processing power and data quality. For practical purposes, it is limited to "small molecules" and peptides because they consistently provide high-quality diffraction with very few reflections.

Molecular Replacement (MR)

Phases can also be inferred by using a process called molecular replacement, where a similar molecule's already-known phases are grafted onto the intensities of the molecule at hand, which are observationally determined. These phases can be obtained experimentally from a homologous molecule or if the phases are known for the same molecule but in a different crystal, by simulating the molecule's packing in the crystal and obtaining theoretical phases. Generally, these techniques are less desirable since they can severely bias the solution of the structure. They are useful, however, for ligand binding studies, or between molecules with small differences and relatively rigid structures (for example derivatizing a small molecule).

Isomorphous Replacement

Multiple Isomorphous Replacement (MIR)

Multiple Isomorphous Replacement (MIR), where heavy atoms are inserted into structure (usually by synthesizing proteins with analogs or by soaking)

Anomalous Scattering

Single-wavelength Anomalous Dispersion (SAD).

Multi-wavelength Anomalous Dispersion (MAD)

A powerful solution is the Multi-wavelength Anomalous Dispersion (MAD) method. In this technique, atoms' inner electrons absorb X-rays of particular wavelengths, and reemit the X-rays after a delay, inducing a phase shift in all of the reflections, known as the anomalous dispersion effect. Analysis of this phase shift (which may be different for individual reflections) results in a solution for the phases. Since X-ray fluorescence techniques (like this one) require excitation at very specific wavelengths, it is necessary to use synchrotron radiation when using the MAD method.

Phase improvement

Refining initial phases

In many cases, an initial set of phases are determined, and the electron density map for the diffraction pattern is calculated. Then the map is used to determine portions of the structure, which portions are used to simulate a new set of phases. This new set of phases is known as a refinement. These phases are reapplied to the original amplitudes, and an improved electron density map is derived, from which the structure is corrected. This process is repeated until an error term (usually Rfree) has stabilized to a satisfactory value. Because of the phenomenon of phase bias, it is possible for an incorrect initial assignment to propagate through successive refinements, so satisfactory conditions for a structure assignment are still a matter of debate. Indeed, some spectacular incorrect assignments have been reported, including a protein where the entire sequence was threaded backwards.[8]

Density modification (phase improvement)

Solvent flattening

Histogram matching

Non-crystallographic symmetry averaging

Partial structure

Phase extension

gollark: You can do that with a £30 SDR or whatever (and antennas I guess).
gollark: Why would you need a license to *listen* to things?
gollark: > A Windows (Windows 7+) or Mac (Mac OS 10.8+) desktop or laptop with either 2GB or 4GB of RAM (no tablets, smartphones or Linux)Wow, bee their exam software requirements?
gollark: Does that exist in the UK?
gollark: (also, all the clubs are quite far away)

See also

References

  1. Taylor, Garry (2003-11-01). "The phase problem". Acta Crystallographica Section D. 59 (11): 1881–1890. doi:10.1107/S0907444903017815. PMID 14573942.
  2. Shechtman, Yoav; Eldar, Yonina C.; Cohen, Oren; Chapman, Henry N.; Miao, Jianwei; Segev, Mordechai (2014-02-28). "Phase Retrieval with Application to Optical Imaging". arXiv:1402.7350 [cs.IT].
  3. Hauptman, Herbert A.; Langs, David A. (2003-05-01). "The phase problem in neutron crystallography". Acta Crystallographica Section A. 59 (3): 250–254. doi:10.1107/S010876730300521X. PMID 12714776.
  4. Dorset, D. L. (1997-03-04). "Direct phase determination in protein electron crystallography: The pseudo-atom approximation". Proceedings of the National Academy of Sciences. 94 (5): 1791–1794. Bibcode:1997PNAS...94.1791D. doi:10.1073/pnas.94.5.1791. PMC 19995. PMID 9050857.
  5. Dorset, D. L. (1996-05-01). "Direct Phasing in Protein Electron Crystallography – Phase Extension and the Prospects for Ab Initio Determinations". Acta Crystallographica Section A. 52 (3): 480–489. doi:10.1107/S0108767396001420. PMID 8694993.
  6. Henderson, R.; Baldwin, J. M.; Downing, K. H.; Lepault, J.; Zemlin, F. (1986-01-01). "Structure of purple membrane from halobacterium halobium: recording, measurement and evaluation of electron micrographs at 3.5 Å resolution". Ultramicroscopy. 19 (2): 147–178. doi:10.1016/0304-3991(86)90203-2.
  7. Hauptman, H. (1976-09-01). "Probabilistic theory of the structure invariants: extension to the unequal atom case with application to neutron diffraction". Acta Crystallographica Section A. 32 (5): 877–882. Bibcode:1976AcCrA..32..877H. doi:10.1107/S0567739476001757.
  8. Kleywegt, Gerard J. (2000). "Validation of protein crystal structures". Acta Crystallographica Section D. 56 (3): 249–265. doi:10.1107/S0907444999016364. PMID 10713511.
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