Virtual Aperture Confocal Imaging in Charged Particle Microscopes
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Solution Overview
Problem
Conventional Scanning Transmission Charge Particle Microscopes (STCPMs) face limitations in confocal imaging due to the need for a physical aperture, which complicates the particle-optical column design, causes radiation damage, and restricts flexibility in image processing.
Innovation Solution
Implementing a virtual aperture applied to image data post-imaging allows for the selection of a confined portion of the detector data, enabling flexible image assembly and 3D reconstruction without the need for a physical throttling aperture, simplifying the scanning process and reducing radiation damage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a physical aperture is used for confocal imaging in STCPM, then confocal image selection is achieved, but device complexity increases and radiation damage occurs
Solution Approach 1:
The patent replaces the physical mechanical aperture with a computational virtual aperture implemented through image processing algorithms. The deconvolution process uses a point spread function to mathematically separate in-focus from out-of-focus signals, eliminating the need for physical aperture components in the particle-optical column while achieving the same confocal imaging effect
Solution Approach 2:
The patent creates a virtual copy of the aperture function through computational methods rather than physical implementation. The point spread function serves as a mathematical model that replicates the optical filtering effect of a physical aperture, allowing confocal image selection through data processing rather than physical component interaction
2Adaptability or versatility
If a physical aperture is used for confocal imaging, then image processing flexibility is improved, but radiation damage increases
Solution Approach 1:
The patent performs preliminary computational processing of the entire image dataset before final confocal image reconstruction. By applying deconvolution algorithms to the complete set of detector data, the system prepares processed images that can be retrospectively edited and analyzed without requiring additional radiation exposure or physical aperture adjustments
Solution Approach 2:
The replacement of physical aperture mechanisms with computational image processing eliminates the need for mechanical adjustments and repeated physical measurements. All image processing flexibility is achieved through software-based deconvolution and retrospective editing, preventing additional radiation damage that would result from physical aperture repositioning or remeasurement
3Measurement precision
If a physical throttling aperture is used, then confocal imaging is achieved, but the particle-optical column design becomes more complex
Solution Approach 1:
The patent substitutes the physical throttling aperture with a computational deconvolution process that operates on detector data. The point spread function-based algorithm mathematically performs the aperture function, eliminating the need for physical aperture components and simplifying the particle-optical column design while maintaining confocal imaging capability
Solution Approach 2:
The patent extracts the aperture function from the physical particle-optical column and relocates it to the computational image processing domain. By separating the optical measurement from the aperture filtering function, the system removes the throttling aperture from the physical system while preserving its functional effect through mathematical processing
Data Source
AI summary
Methods and systems for charged particle microscope confocal imaging are disclosed herein. An example method includes obtaining a plurality of probe images of a portion of a sample, each probe image of the plurality of probe images obtained at a different focal depth within the sample, applying a virtual aperture to each probe image of the plurality of probe images to form a respective plurality of confocal images, and forming a three-dimensional reconstruction of the sample based on the plurality of confocal images.