Fei Comapny

Reinier Louis Warschauer

Richard J Young

Chad Rue

Peter D Carleson

Ryan Tanner

Methods and systems for generating labeled images from a microscope detector by leveraging detector data from a different microscope detector of a different modality include applying a focused charged beam to a sample, using a first microscope detector to detect emissions resultant from the focused charged beam being incident on the sample, and then using detector data from the first microscope detector to automatically generate a first labeled image. Automatically generating the first labeled image includes determining composition information about portions of the sample based on the detector data, and then automatically labeling regions of the first image associated with the portions of the sample with corresponding composition information. A second image of the sample is generated using detector data from a second microscope detector system of a different modality, and then the first labeled image is used to automatically label regions of the second image with corresponding composition information.

Using images from secondary microscope detectors to automatically generate labeled images from primary microscope detectors

Multiple reference fiducials are formed on a sample on a sample for charged particle beam facilities processing of the sample. As one fiducial is degraded by the charged particle beam, a second fiducial is used to create one or more additional fiducials.

Dynamic creation of backup fiducials

An improved method of high accuracy beam placement for local area navigation in the field of semiconductor chip manufacturing. Preferred embodiments of the present invention can also be used to rapidly navigate to one single bit cell in a memory array or similar structure, for example to characterize or correct a defect in that individual bit cell. High-resolution scanning is used to scan only a 'strip' of cells on the one edge of the array (along either the X axis or the Y axis) to locate a row containing the desired cell followed by a similar high-speed scan along the located row (in the remaining direction) until the desired cell location is reached. This allows pattern-recognition tools to be used to automatically 'count' the cells necessary to navigate to the desired cell, without the large expenditure of time required to image the entire array.

High accuracy beam placement for local area navigation

A device for imaging and processing a workpiece having nanometric features through the use of at least one charged particle beam, by both fully automated procedures and manual assistance procedures. The device includes a user interface, including a schedule input entry device and a human operator ready input that can be placed in a first state or a second state and a procedure scheduler, accepting a schedule of procedures, including fully automated procedures and manual assistance procedures, from the schedule input entry device. Additionally, a procedure sequencer that, when the human operator ready input is in the second state, sequences through fully automated procedures until the human operator ready input is placed into the first state, at which time the sequencer begins sequencing the manual assistance procedures, after reaching a safe termination point for the fully automated procedures being performed.

Sequencer for combining automated and manual-assistance jobs in a charged particle beam device

An improved method of high accuracy beam placement for local area navigation in the field of semiconductor chip manufacturing. Preferred embodiments of the present invention can also be used to rapidly navigate to one single bit cell in a memory array or similar structure, for example to characterize or correct a defect in that individual bit cell. High-resolution scanning is used to scan only a 'strip' of cells on the one edge of the array (along either the X axis and the Y axis) to locate a row containing the desired cell followed by a similar high-speed scan along the located row (in the remaining direction) until the desired cell location is reached. This allows pattern-recognition tools to be used to automatically 'count' the cells necessary to navigate to the desired cell, without the large expenditure of time required to image the entire array.

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Portland, OR, United States of America

Reinier Louis Warschauer