Automated Cryoloop Alignment for Protein Crystal X-ray Positioning
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Solution Overview
Problem
Manual alignment of protein crystals in synchrotron facilities is time-consuming and inefficient, requiring automated methods for precise alignment to improve data collection quality and reduce errors in recording diffraction peaks.
Innovation Solution
An automated method using image processing techniques and robotics for precise alignment of cryoloops with the x-ray beam, incorporating specific crystal illumination and high-magnification cameras for 3D displacement calculation and optimization of x-ray optics to match the size and shape of protein crystals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual alignment of protein crystals is used, then alignment precision can be achieved, but time consumption increases significantly
Solution Approach 1:
The patent replaces manual mechanical alignment operations with an automated system combining high-magnification imaging, image processing algorithms, and robotic manipulation. The system captures images of the cryoloop and crystal, calculates 3D displacement automatically, and uses a robot to reposition the loop, eliminating time-consuming manual alignment while maintaining precision through computational methods
Solution Approach 2:
The patent uses high-magnification cameras to create optical copies (images) of the cryoloop and crystal structure. These digital representations are then processed through image analysis algorithms to determine precise positional relationships and guide alignment, replacing direct visual inspection and manual manipulation with automated image-based measurement and control
2Productivity
If automated alignment system is implemented, then time efficiency improves, but device complexity increases
Solution Approach 1:
The patent employs a multi-functional integrated system where a single automated platform performs multiple tasks: high-magnification imaging, image processing and 3D displacement calculation, robotic manipulation, and alignment verification. This universal system handles the entire alignment workflow from different crystal mounting positions, reducing the need for multiple separate devices and operators while improving throughput
Solution Approach 2:
The patent introduces an image processing computational layer as an intermediary between the physical crystal mounting system and the robotic manipulation system. This software intermediary automatically extracts geometric information from images, calculates precise 3D displacements, and generates control commands for the robot, bridging the gap between visual detection and mechanical action without requiring complex direct coupling
3Measurement precision
If high-magnification cameras and image processing are used, then alignment accuracy improves, but system complexity and cost increase
Solution Approach 1:
The patent transitions from 2D image capture to 3D displacement calculation by using high-magnification cameras to capture images at different orientations and positions. The image processing algorithms analyze these multi-dimensional image data to compute three-dimensional positional relationships between the cryoloop and crystal, enabling precise alignment control in three-dimensional space while maintaining practical system design
Data Source
AI summary
Methods and apparatus for implementing robust and efficient cryoloop auto-centering for crystal location and alignment to the x-ray beam are provided. Image processing techniques are used for recognition of the small protein crystals. The detected crystal location enables crystal positioning in the x-ray beam, and optimization of the x-ray optics such as beam profile and intensity to the size and shape of the protein crystals.