Nanoscale X-ray Imaging via Coded Source Tomosynthesis
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Solution Overview
Problem
Current X-ray microscopy techniques for imaging integrated circuits (ICs) and biological specimens face challenges such as high energy loss, limited photon flux, mechanical instability, and inadequate angular views, which hinder high-resolution and rapid volumetric imaging, especially at the nanoscale.
Innovation Solution
The development of an X-ray imaging system with spatially and temporally addressable electron sources, a modular cold cathode, and coded source imaging, combined with tomosynthesis algorithms, enables high-resolution phase contrast and absorption imaging, and 3D reconstruction of ICs and biological specimens with minimal mechanical movement, using a static setup and advanced computational methods.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If direct-image forming X-ray microscopy using X-ray optical elements is used, then sub-10 nm resolution is achieved, but considerable energy loss occurs and substantial photon flux is required
Solution Approach 1:
The patent removes X-ray optical elements from the imaging system entirely, using computational imaging to reconstruct images from raw detector data. This extraction eliminates the energy loss associated with optical elements while maintaining nanoscale resolution through mathematical reconstruction algorithms.
Solution Approach 2:
The patent replaces the mechanical/optical system (X-ray optical elements) with a computational system. Instead of using physical optical components to form images, the system uses computational algorithms to reconstruct images from raw data, substituting mechanical/optical mechanisms with information processing.
2Measurement precision
If direct-image forming X-ray microscopy is used, then sub-10 nm resolution is achieved, but substantial photon flux is required which is only available at larger facilities
Solution Approach 1:
By removing X-ray optical elements and using computational imaging, the system eliminates the need for large synchrotron facilities. The approach extracts only the essential function (image formation) while discarding the requirement for substantial photon flux and large facility infrastructure.
Solution Approach 2:
The patent substitutes the complex mechanical infrastructure of synchrotrons with a compact computational imaging system. The replacement transforms a facility-size requirement into a table-top system using algorithms to achieve the same imaging goals with far fewer resources.
3Measurement precision
If conventional X-ray imaging with mechanical movement is used, then imaging is performed, but mechanical instability and inadequate angular views hinder high-resolution volumetric imaging
Solution Approach 1:
The patent replaces mechanical scanning and positioning systems with a static imaging setup combined with computational reconstruction. Instead of moving components to achieve different viewing angles, the system uses fixed geometry with computational algorithms to reconstruct three-dimensional volumetric information, eliminating mechanical instability entirely.
Solution Approach 2:
The patent transitions from mechanical movement in physical space to angular diversity in computational space. By acquiring data from multiple angles using a static setup and reconstructing through algorithms, the system achieves volumetric imaging resolution without requiring physical movement, effectively moving the problem from the mechanical domain to the computational domain.
4Measurement precision
If conventional X-ray imaging is used, then imaging is performed, but image acquisition time is lengthy
Solution Approach 1:
The patent performs preliminary computational processing of the imaging data to accelerate reconstruction. By pre-planning the acquisition geometry and using efficient reconstruction algorithms, the system reduces the time required to transform raw data into high-quality images, achieving fast volumetric imaging without sacrificing precision.
Solution Approach 2:
The patent replaces time-consuming mechanical scanning with rapid computational reconstruction. The static acquisition geometry combined with efficient algorithms allows the system to generate high-resolution volumetric images much faster than mechanical systems that must physically move through multiple positions and angles.
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 approach achieves high-speed, high-resolution imaging of ICs and biological specimens, providing 100% accurate 3D reconstruction of IC layers and 10 nm spatial resolution, while reducing image acquisition time and mechanical instability, and enabling visualization of cellular structures and drug interactions at the nanoscale.
Implementation Method 1
an anode that generates X-rays from the electrons
Implementation Method 2
a field emitter array (FEA) with a plurality of field emitters
Implementation Method 3
tomosynthesis algorithms, enables high-resolution phase contrast and absorption imaging, and 3D reconstruction
Data Source
AI summary
System and method for nanoscale X-ray imaging of biological specimen. The imaging system comprises an X-ray source including a plurality of spatially and temporally addressable electron sources, an X-ray detector arranged such that incident X-rays are oriented normal to an incident surface of the X-ray detector and a stage arranged between the X-ray source and the X-ray detector, the stage configured to have mounted thereon a biological specimen through which X-rays generated by the X-ray source pass during operation of the imaging system. The imaging system further comprises at least one controller configured to move the stage during operation of the imaging system and selectively activate a subset of the electron sources during movement of the stage to acquire a set of intensity data by the X-ray detector as the stage moves along a three-dimensional trajectory.