Methods and systems for event modulated electron microscopy
US-2024355581-A1 · Oct 24, 2024 · US
US9312098B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9312098-B2 |
| Application number | US-201514629387-A |
| Country | US |
| Kind code | B2 |
| Filing date | Feb 23, 2015 |
| Priority date | Feb 24, 2014 |
| Publication date | Apr 12, 2016 |
| Grant date | Apr 12, 2016 |
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Examining a sample in a charged-particle microscope of a scanning transmission type includes: Providing a beam of charged particles that is directed from a source through an illuminator so as to irradiate the sample; Providing a detector for detecting a flux of charged particles traversing the sample; Causing said beam to scan across a surface of the sample, and recording an output of the detector as a function of scan position, resulting in accumulation of a charged-particle image of the sample, Embodying the detector to comprise a plurality of detection segments; Combining signals from different segments of the detector so as to produce a vector output from the detector at each scan position, and compiling this data to yield a vector field; and Mathematically processing said vector field by subjecting it to a two-dimensional integration operation, thereby producing an integrated vector field image.
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We claim as follows: 1. A method of examining a sample in a charged-particle microscope of a scanning transmission type, comprising: providing a beam of charged particles that is directed from a source through an illuminator so as to irradiate the sample; providing a detector for detecting a flux of charged particles traversing the sample; causing said beam to scan across a surface of the sample, and recording an output of the detector as a function of scan position, resulting in accumulation of a charged-particle image of the sample, including: embodying the detector to comprise a plurality of detection segments; combining signals from different segments of the detector so as to produce a vector output from the detector at each scan position, and compiling this data to yield a vector field; mathematically processing said vector field by subjecting it to a two-dimensional integration operation, thereby producing an integrated vector field image. 2. A method according to claim 1 , wherein: said detector is embodied to comprise four quadrants; said vector output is produced by calculating difference signals between complementary pairs of quadrants. 3. A method according claim 2 , wherein said integrated vector field image is post-processed by subjecting it to at least one operation selected from the group comprising: filtering; opening Angle Correction; deconvolution correction, and combinations hereof. 4. A method according to claim 2 , wherein the integrated vector field image is further manipulated by subjecting it to a Laplacian operation. 5. A method according to claim 2 , wherein the integrated vector field image is further manipulated by subjecting it to a single differentiation operation. 6. A method according to claim 2 , wherein said mathematical processing of vector field {tilde over (E)} comprises finding an estimate {circumflex over (φ)} of a potential φ as a fitting problem involving functional minimization of an objective function J defined as: J (φ)=∫∫∥(−∇φ)− {tilde over (E)}∥ 2 dxdy=∫∫∥∇φ+{tilde over (E)}∥ 2 dxdy for Cartesian coordinates (x, y) along a scan path of said beam on the sample. 7. A method according to claim 1 , wherein: said detector is embodied as a pixelated detector comprising an array of pixels; said vector output is produced using a procedure comprising the following steps: comparing pixel values to determine a location for a barycenter of said flux on the detector; expressing a coordinate position of said barycenter on the detector. 8. A method according to claim 7 , wherein the charged particles are electrons. 9. A method according claim 7 , wherein said integrated vector field image is post-processed by subjecting it to at least one operation selected from the group comprising: filtering; opening Angle Correction; deconvolution correction, and combinations hereof. 10. A method according to claim 7 , wherein the integrated vector field image is further manipulated by subjecting it to a Laplacian operation. 11. A method according to claim 7 , wherein the integrated vector field image is further manipulated by subjecting it to a single differentiation operation. 12. A method according to claim 7 , wherein said mathematical processing of vector field {tilde over (E)} comprises finding an estimate {circumflex over (φ)} of a potential φ as a fitting problem involving functional minimization of an objective function J defined as: J (φ)=∫∫∥(−∇φ)− {tilde over (E)}∥ 2 dxdy=∫∫∥∇φ+{tilde over (E)}∥ 2 dxdy for Cartesian coordinates (x, y) along a scan path of said beam on the sample. 13. A method according to claim 1 , wherein the employed detector is a Position-Sensitive Detector. 14. A method according to claim 1 , wherein said integrated vector field image is post-processed by subjecting it to at least one operation selected from the group comprising: filtering; opening Angle Correction; deconvolution correction, and combinations hereof. 15. A method according to claim 1 , wherein the integrated vector field image is further manipulated by subjecting it to a Laplacian operation. 16. A method according to claim 1 , wherein the integrated vector field image is further manipulated by subjecting it to a single differentiation operation. 17. A method according to claim 1 , wherein said mathematical processing of vector field {tilde over (E)} comprises finding an estimate {circumflex over (φ)} of a potential φ as a fitting problem involving functional minimization of an objective function J defined as: J (φ)=∫∫∥(−∇φ)− {tilde over (E)}∥ 2 dxdy=∫∫∥∇φ+{tilde over (E)}∥ 2 dxdy for Cartesian coordinates (x, y) along a scan path of said beam on the sample. 18. A method according to claim 17 , wherein said functional minimization is achieved with the aid of at least one technique selected from the group comprising: a Poisson solver technique; a Basis Function reconstruction; residual minimization using an Lp norm-based objective function; residual minimization using an M-estimator; anisotropic weighting; application of a Diffusion tensor; application of a regularization function, and combinations hereof. 19. A method according to claim 1 , wherein the charged particles are electrons. 20. A charged-particle microscope of a scanning transmission type, comprising: a sample holder, for holding a sample; a source, for producing a beam of charged particles; an illuminator, for directing said beam so as to irradiate said sample; a detector, for detecting a flux of charged particles traversing the sample in response to said irradiation; scanning means, for causing said beam to make a scanning motion relative to a surface of the sample; a controller, for recording an output of said detector as a function of scan position, resulting in accumulation of a charged-particle image of the sample, characterized in that: said detector comprises a plurality of detection segments; said controller is embodied to perform the following additional actions: combine signals from different segments of the detector so as to produce a vector output from the detector at each scan position, and compile this data to yield a vector field; mathematically process said vector field by subjecting it to a two-dimensional integration operation, thereby producing an integrated vector field image.
with scanning beams {(H01J37/268, H01J37/292, H01J37/2955 take precedence)} · CPC title
Transmission microscopes · CPC title
Controlling the tube; circuit arrangements adapted to a particular application not otherwise provided, e.g. bright-field-dark-field illumination · CPC title
Detectors; Associated components or circuits therefor · CPC title
Position sensitive detectors · CPC title
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