Electron Holography Background Extraction for Contamination Removal
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Solution Overview
Problem
Existing methods for electron holography image reconstruction are inefficient in removing detector and device contamination, leading to reduced image quality and information loss.
Innovation Solution
A hybrid approach combining physical and digital blurring techniques is applied to electron holography images to reduce contamination, using a combination of sensor vibration and mathematical blurring to modify pixel values.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing methods for electron holography image reconstruction are used, then the reconstruction process can be completed, but detector and device contamination remains in the image reducing quality
Solution Approach 1:
The patent applies preliminary actions by performing multiple blurring operations on the hologram image before reconstruction. The method applies a first blur, then a second blur, and optionally a third blur with different parameters, progressively reducing contamination artifacts before the final reconstruction process occurs.
Solution Approach 2:
The patent utilizes parameter changes by varying blur parameters across multiple blurring operations. Different blur strengths, kernels, or algorithms are applied in sequence, and the method also adjusts parameters such as electron beam energy and detector settings to optimize contamination reduction while maintaining image quality.
2Measurement precision
If multiple blurring operations are applied to reduce contamination, then image quality improves, but processing time and complexity increase
Solution Approach 1:
The patent applies partial or excessive action by performing more blurring operations than traditionally necessary. The method applies multiple blurs (first, second, and optionally third) with varying degrees of strength, where the cumulative effect exceeds what a single blur would achieve, thereby reducing contamination more effectively despite increased processing steps.
Solution Approach 2:
The patent applies segmentation by dividing the contamination reduction process into distinct sequential stages. Each blurring operation (first blur, second blur, third blur) represents a separate segment with specific parameters, allowing systematic reduction of different types of contamination artifacts through staged processing rather than a single monolithic operation.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This method significantly reduces image contamination, enhancing the quality and information content of reconstructed holograms, improving the efficiency of material analysis.
Implementation Method 1
employing a distortion technique at an imaging device capturing the EH image, wherein the employing of the distortion technique comprises causing a physical vibration of a detector of the imaging device
Implementation Method 2
applying an alternating electromagnetic field upstream of the detector
Implementation Method 3
subsequently applying a digital blurring to the set of original pixel values
Data Source
AI summary
Embodiments herein relate to a process for electron holography image background extraction. A system can comprise a memory that stores, and a processor that executes, computer executable components. The computer executable components can comprise a blurring component that executes a primary blurring action and a secondary blurring action on an original electron holography (EH) image characterized by a set of pixels having a set of original pixel values, and a generating component that generates a set of modified pixel values, for the set of pixels, based on a difference of a set of first pixel values, of the set of pixels, resulting from the primary blurring action and a set of second pixel values, of the set of pixels, resulting from the secondary blurring action.