Image Formation in the Electron Microscope



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T H E U N I V E R S I T Y of T E X A S S C H O O L O F H E A L T H I N F O R M A T I O N S C I E N C E S A T H O U S T O N Image Formation in the Electron Microscope For students of HI 6001-125 Computational Structural Biology Willy Wriggers, Ph.D. School of Health Information Sciences http://biomachina.org/courses/structures/08.html

Zou and Hovmöller, Electron Crystallography, 2002 Microscope Optics

Optical Resolution

Airy Patterns The central maximum of the Airy patterns is often referred to as an Airy disk, which is defined as the region enclosed by the first minimum of the Airy pattern and contains 84 percent of the luminous energy. The Airy disk (typically termed a zero th order maximum) is surrounded by concentric 1st, 2nd, 3rd, etc., order maxima of sequentially decreasing brightness. If the separation between the two disks exceeds their radii, they are resolvable. When the center-to-center distance between the zero th order maxima is less than the width of these maxima, the two disks are not individually resolvable.

Zou and Hovmöller, Electron Crystallography, 2002 Rayleigh Criterion

Electron Microscopes Provide Higher Resolution than Light Microscopes Zou and Hovmöller, Electron Crystallography, 2002

Electrons are Both Particles and Waves Zou and Hovmöller, Electron Crystallography, 2002

Electrons can be Focused by Lenses Zou and Hovmöller, Electron Crystallography, 2002

Recognizable Similarities to Light Microscope Robert Glaeser

Zou and Hovmöller, Electron Crystallography, 2002 TEM: Illumination System

TEM: Image Formation System Zou and Hovmöller, Electron Crystallography, 2002

Zou and Hovmöller, Electron Crystallography, 2002 TEM: Recording Systems

Vinzenz Unger Digitization of Recorded Image

Nyquist Limit Pixel size/magnification = sampling distance at the level of the specimen For instance: pixel is 10µm, magnification was 50,000- fold ==> sampled @ 2Å/pixel A plain sine-curve is defined by any pair of values taken from within one period ==> if the sampling in the image is @ 2Å per pixel, and 2 pixel values are needed to define frequencies, then the highest frequency that can be reliably described is 2*2=4Å This relation is referred to as the Nyquist limit and says that an image needs to be sampled at least twice the frequency of the highest resolution to be obtained Vinzenz Unger

Overview of Recording Media CCD: fixed pixel size (rather large, 15-25µm) need to increase magnification to get better resolution lowers the # of particles/unit cells to be imaged per image (poor SNR if 2Dcrystal) need large, expensive CCD array (1K:$60K, 2K:$150K, 4K:$300K) low to intermediate acceleration voltage immediate feedback, FFT, use for adjusting scope MTF is 12-25% at Nyquist frequency, (2 pixels) -1 Film: fixed grain size (~5µm, to get high speed) but, optical scanners are inexpensive now and can go as low as 5µm/step can choose pixel size to match problem can use smaller magnifications more particles/unit cells per film (good SNR if 2D-crystal) more particles with identical base parameter [defocus, magnification ]) slow chemical processing times (dark room), but least expensive solution MTF depends on scanner, inexpensive scanners comparable to CCD. Imaging Plates: variable pixel size (15-50µm) full frame coverage can choose pixel size to match problem can use smaller magnifications best signal linearity (6 orders of magnitude needed for diffraction patterns, not critical for direct imaging) intermediate processing times (reader) MTF is 38% at 25µm

Detector Resolution The resolution of any camera system can be expressed by the point spread function (PSF) or the modulation transfer function (MTF), the Fourier transform of the PSF. The MTF defines the ratio between input and output signal as a function of the spatial frequency. Higher spatial frequencies are attenuated due to cross-talk between pixels, resulting in loss of contrast. The MTF of a CCD camera, for example, is determined by the pixel size, the type and quality of electron-optical coupling and the type and size of the scintillator: MTF of TVIPS 2k CCD cameras with 14 µm and 24 µm pixel size. TVIPS.com

Slow-Scan CCD Camera TVIPS Fiber-optically coupled CCD camera The scintillator converts the electron image into a photon image. Fiber optics transfer this image to the CCD (charge coupled device) sensor where the photons generate electrical charge (CCD electrons). The charge is accumulated in the parallel register. During the readout, this charge is shifted line by line to the serial register from where it is transferred pixel by pixel to the output node and exits to the analog-to-digital converter. The main features of slow scan CCD cameras are high sensitivity, low noise, a high dynamic range and excellent linearity. TVIPS.com

Electrons See the Electrostatic Potential Electrons are scattered much more strongly than X-rays or neutrons: Because of the strong interaction between electrons and matter, the sample has to be very thin in the TEM to allow electrons to pass through. The maximum thickness is less than 500 Å for materials containing heavy elements and more for those containing light elements such as organic molecules. Zou and Hovmöller, Electron Crystallography, 2002

Scattering and Energy Loss Zou and Hovmöller, Electron Crystallography, 2002

Atomic Scattering Factors for Electrons Zou and Hovmöller, Electron Crystallography, 2002

Elastically Scattered Electrons are Coherent Waves Robert Glaeser

Robert Glaeser Inelastic Scattering Thin Sample

Robert Glaeser Inelastic Scattering Thick Sample

The Allowable Thickness is Also Resolution and Energy Dependent Necessary Assumptions: Image is a true 2-D projection of the 3-D object with the same focus throughout Only elastically scattered electrons form the image Hong Zhou and Wah Chiu

The Phase Object In cryo EM thin specimens do not absorb electrons, instead most of the electrons pass through the sample. The resultant wavefront emerges with almost the same amplitude, but has suffered a small phase shift proportional to the projection of the Coulomb potential. This can be reconstructed vectorially by interfering the undiffracted beam with a diffracted beam of low intensity that is shifted by ~90 (π/2) with respect to the undiffracted beam. This is BAD news for imaging because in order to record a signal we need differences in amplitude Vinzenz Unger

Coulomb Wavefront Distortion Lenz, 1971

Phase Objects Require an Additional Phase Shift to be Seen Robert Glaeser

Spherical Aberration C S Werner Kühlbrandt Typical defect of electron lens, contributes to phase shift Modern lens designs seek to compensate this Normally C S not modifiable, fine-tuning of CTF is done by adjusting defocus Z

Phase Object Approximation

Robert Glaeser The Phase Contrast Function

Joachim Frank

Joachim Frank

High Defocus Gives Good Contrast But at a Cost Robert Glaeser

Rapid Oscillation of the CTF Causes a Loss of Signal Robert Glaeser

Effect of Imperfect Coherence and Contrast Reversal Can Be Partially Corrected Robert Glaeser

Computation of Averaged Power Spectrum For each micrograph 1) Divide field into overlapping subfields of ~512 x 512 2) Compute FFT for each subfield 3) Compute F(k) 2 for each subfield 4) Form average over F(k) 2 of all subfields => averaged, smoothed power spectrum 5) Take square root of result => power spectrum with reduced dynamic range 6) Form azimuthal average => 1D profile, characteristic for the micrograph, ready to be compared with CTF Joachim Fank

Gallery of Power Spectra at Different Defocus Joachim Frank

Fitting the Spatial Coherence Envelope Function with exp(-bs 2 ) 1.2 1 exp(-bs 2 ) 0.8 0.6 0.4 z=0.5 µm z=1.µm z=2.0 µm α=.12 mrad 0.2 0 0 0.01 1/75 1/20 1/10 1/6.5 0.03 0.04 0.06 0.07 0.08 0.1 0.11 Spatial Frequency (1/Å) 0.13 0.14 0.15 WahChiu

CTF Simulation and Fitting CTF (s) = - A [ (1-Q 2 ) 1/2 sin(γ) + Q cos(γ) ] scaling factor, varies among micrographs wavelength defocus, varies among micrographs amplitude contrast, constant γ(s) = - 2π (C s λ 3 s 4 /4 - Z λs 2 /2) http://ncmi.bcm.tmc.edu/~wjiang/ctf

Example Power Spectrum Image Sum of Fourier Transforms (amplitudes) from all particle images from one micrograph. Light-grey rings indicate weak signal, caused by minima in the contrast transfer function (CTF). PS Profile Amplitude of PS Image as a function of spatial frequency. Decay is fit with a Gaussian. PS Profile - corrected After removal (division) of Gaussian decay. Minima represent positions of "phase reversal" - see next page. James Conway

Example CTF measured from images (see previous page): Thon rings clearly identifiable. CTF estimated The microscope settings (accelerating voltage, defocus) and observed image decay were used to calculate this theoretical squared CTF Intensity curve. Use this information to flip phases and to amplify high frequencies (careful ). This is a partial correction because information at zeros of CTF is lost. James Conway

Joachim Frank Multiple Defocus Groups

Combining Multiple Defocus Groups Coverage of large defocus range required Data collection must be geared toward covering range without major gap Characterizing all particles from the same micrograph by the same defocus is OK up to a resolution of ~1/8 Å -1. Sequence of steps: 1) Determine defocus for each micrograph 2) Define defocus groups, by creating supersets of particles from micrograps in a narrow range of defoci 3) Process particles separately, by defocus group, till the very end (3D reconstruction by defocus groups) 4) Compute merged, CTF-corrected reconstruction. E.g., Wiener filtering. Joachim Frank

Vinzenz Unger Astigmatism

F. Thon Astigmatism

WahChiu Astigmatism

Steve Ludtke Astigmatism

Can You Tell the Difference? OK astigmatism drift Vinzenz Unger

CCD vs. Film, Revisited CCD better scanned film better C.R. Booth et al. / Journal of Structural Biology 147 (2004) 116 127

Images Must be Recorded with Very Low Electron Exposures Robert Glaeser

Bubbling: A Sign of Radiation Damage A sample of unstained amyloid materials after a few seconds of illumination with an electron beam. While some fibers can still be detected, bubbling within the field of view indicates total destruction of the sample amyloid fibers bubbles M. Pelletier

Destructive Power of Electrons after 0.2 sec 1 sec exposure Vinzenz Unger

Low-Dose Microscopy Appearance of trehalose dried down on a carbon film (left). The sugar allows to demonstrate how low-dose microscopy is done (right). Let X be the area of interest (for instance a crystal or virus/single particle). Prior to taking a picture some parameters such as defocus and astigmatism need to be adjusted. To avoid destruction of the specimen, any adjustments are made on small areas (Focus 1 and 2) located adjacent to the area that will be photographed. In the example, the trehalose burned as it was exposed at high magnification (220kx, Focus 1 and 2). Similarly, by exposing the area to be captured for about 30 seconds at 52,000 fold magnification. Vinzenz Unger

Robert Glaeser Resolution Limits Due to Shot Noise

Averaging Images of Identical Objects is Easy for Crystals Robert Glaeser

Real Space Averaging is More Powerful Than You Might Expect Robert Glaeser

Resources Handouts: Mauro Gemmi, Image Formation, Electron Crystallography School 2002, Tampere Finland Journal Articles: Zhu et al., J. Struct Biol. 118, 197-219, 1997 (excellent review of CTF) Saad et al, J. Struct Biol. 133, 32-42, 2001(Chiu lab CTF model) Wade, Ultramicroscopy 46, 145-156, 1992 (pp. 145-149 recommended as review) Book Chapters: Lenz, pp. 541-569 in Electron Microscopy in Material Science, U. Valdre, editor, Academic Press 1971 (detailed theory of image formation, historic interest)