Charged Particle Beam System
US-2022005667-A1 · Jan 6, 2022 · US
US12431325B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-12431325-B2 |
| Application number | US-202017928691-A |
| Country | US |
| Kind code | B2 |
| Filing date | Jul 14, 2020 |
| Priority date | Jul 14, 2020 |
| Publication date | Sep 30, 2025 |
| Grant date | Sep 30, 2025 |
A practical reading order for non-experts. Skip the full description unless you need deep technical detail.
What the patent document calls the invention.
A short plain-language summary of the technical disclosure.
Who owns or filed the patent and who is credited as inventor.
Filing, priority, publication, and grant dates set the timeline.
The legal scope of protection — read this for what is actually claimed.
Technology tags used to group this patent with similar filings.
Prior art links and similar publications in this corpus.
Official abstract text for this publication.
Provided is a sample image observation device including an SEM and a control system configured to control the SEM. An observation region of a sample is divided into a plurality of sections, and restoration processing is performed on an image which is acquired by irradiating each section with a sparse electron beam, based on scanning characteristics in the section. A reduction in quality of a restored image due to a beam irradiation position deviation caused by a scanning response is prevented and restoration with high accuracy and high throughput under a condition for preventing sample damage is possible.
Opening claim text (preview).
The invention claimed is: 1. A sample image observation device, comprising: scanning electron microscope (SEM) including: an electron gun configured to emit an electron beam; a detector configured to detect secondary electrons from a sample and generate detection signals of the secondary electrons; and a computer, coupled to the SEM, programmed to: divide an observation region of the sample into a plurality of sections, determine a size of each section based on a spatial distribution of focal point positions of the electron beam for irradiation, and execute restoration processing on an image which is acquired by irradiating each of a plurality of sections with the electron beam, based on scanning characteristics of the respective sections. 2. A sample image observation method using an SEM, the method comprising: dividing an observation region of a sample into a plurality of sections; determining a size of each section based on a spatial distribution of focal point positions of an electron beam for irradiation; and performing restoration processing on an image which is acquired by irradiating each section with the electron beam, based on scanning characteristics in the section. 3. The sample image observation device according to claim 1 , wherein an irradiation position and an irradiation path of the electron beam with which each section is irradiated are different for each section. 4. The sample image observation device according to claim 1 , wherein an irradiation position and an irradiation path of the electron beam with which the section is irradiated are the same for each section. 5. The sample image observation method according to claim 2 , wherein an irradiation position and an irradiation path of the electron beam with which the section is irradiated are different for each section. 6. The sample image observation method according to claim 2 , wherein an irradiation position and an irradiation path of the electron beam with which the section is irradiated are the same for each section. 7. The sample image observation device according to claim 1 , wherein the size of each section includes an upper limit and a lower limit, wherein the computer is programmed to: determine the upper limit of the size of each section based on a processing speed of the restoration processing, and determine the lower limit of the size of each section based on an accuracy of the restoration accuracy. 8. The sample image observation device according to claim 1 , wherein the size of each section includes a lower limit, wherein the computer is programmed to determine the lower limit of the size of each section such that the following formula is satisfied: pN−√{square root over (pN)}>t, wherein p is an irradiation density, N is a total number of pixels and t is a threshold having a value of 1 or more. 9. The sample image observation method according to claim 2 , wherein the size of each section includes an upper limit and a lower limit, and wherein the method further comprises: determining an upper limit of the size of each section based on a processing speed of the restoration processing; and determining a lower limit of the size of each section based on an accuracy of the restoration accuracy. 10. The sample image observation method according to claim 2 , wherein the size of each section includes a lower limit, and wherein the method further comprises: determining the lower limit of the size of each section such that the following formula is satisfied: pN−√{square root over (pN)}>t, wherein p is an irradiation density, N is a total number of pixels and t is a threshold having a value of 1 or more.
Spatial variables, e.g. position, distance · CPC title
Image reconstruction · CPC title
with scanning beams {(H01J37/268, H01J37/292, H01J37/2955 take precedence)} · CPC title
Controlling the tube; circuit arrangements adapted to a particular application not otherwise provided, e.g. bright-field-dark-field illumination · CPC title
Image processing arrangements associated with the tube · CPC title
Related publications grouped by family.
Answers are generated from the same data shown on this page.