Invention Grant
- Patent Title: Adaptive specimen image acquisition using an artificial neural network
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Application No.: US18516645Application Date: 2023-11-21
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Publication No.: US12085523B2Publication Date: 2024-09-10
- Inventor: Pavel Potocek
- Applicant: FEI Company
- Applicant Address: US OR Hillsboro
- Assignee: FEI Company
- Current Assignee: FEI Company
- Current Assignee Address: US OR Hillsboro
- Agent Thomas F. Cooney
- Priority: EP 184339 2018.07.19
- The original application number of the division: US17151033 2021.01.15
- Main IPC: G01N23/2251
- IPC: G01N23/2251 ; H01J37/26 ; H01J37/28

Abstract:
A method comprises: using a Scanning Electron Microscope (SEM) to acquire an image of a specimen; identifying one or more objects of interest within the SEM image; generating a scan mask indicating a first set of one or more regions corresponding to the identified one or more objects of interest; and based on the scan mask, providing instructions to the SEM to acquire one or more Electron Backscatter Diffraction (EBSD) images from the first set of one or more regions of the specimen, wherein the method is performed by at least one device including a hardware processor.
Public/Granted literature
- US20240094151A1 ADAPTIVE SPECIMEN IMAGE ACQUISITION USING AN ARTIFICIAL NEURAL NETWORK Public/Granted day:2024-03-21
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