Microscopy Autofocus Using Artificial Particles for Tilt Compensation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing microscopy technologies face challenges in autofocusing biological samples housed in three-dimensional containers, particularly due to imperfections such as tilted surfaces at the bottom of the container, which result in blurry or out-of-focus images.
Innovation Solution
The method involves imaging a biological sample with a microscopy unit, detecting artificial particles dispersed within the sample, and determining a focus curve for each particle to adjust the focus and account for container tilt, thereby enhancing image clarity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional microscopy focusing methods are used on three-dimensional biological samples in containers, then the method is simple to operate, but the image clarity deteriorates due to tilt and depth variations
Solution Approach 1:
The patent introduces artificial particles as intermediary objects that are easier to detect and measure than biological cells. These particles serve as proxies to determine focus curves and tilt angles, which then guide the focusing process for the actual biological sample. The particles mediate between the imaging system and the complex three-dimensional sample, enabling automated focus adjustment without directly analyzing the difficult-to-process biological material.
Solution Approach 2:
The system performs preliminary measurements by detecting artificial particles at multiple depths to establish focus curves and tilt angles before final imaging of the biological sample. This preliminary action characterizes the optical path and sample geometry, allowing the system to pre-calculate optimal focus positions and adjust the stage or objective lens accordingly, thereby preparing the system for clear imaging of the three-dimensional biological structures.
2Adaptability or versatility
If the microscopy system attempts to focus on three-dimensional samples with tilted surfaces, then more comprehensive sample coverage is achieved, but the focus precision deteriorates due to varying depths and tilts
Solution Approach 1:
The patent segments the three-dimensional sample space into multiple depth planes by detecting artificial particles at different focal depths. Each particle provides information about a specific depth slice, allowing the system to segment the overall focusing problem into manageable depth layers. This segmentation enables the system to independently characterize and focus on different depth regions, accommodating tilted surfaces and varying depths without sacrificing overall focus precision.
Solution Approach 2:
The system transitions from two-dimensional focusing to three-dimensional focusing by utilizing depth information from the artificial particles. By detecting particles at multiple z-positions and analyzing their focus curves, the system gains insight into the third dimension (depth) and can adjust the focal plane accordingly. This dimensional extension allows the system to accommodate tilted surfaces and three-dimensional sample geometries while maintaining precise focus control through computational modeling of the optical path.
3Ease of operation
If automated focusing without tilt compensation is used, then the operation is easier, but the image quality deteriorates due to container imperfections
Solution Approach 1:
The system performs self-service by automatically detecting artificial particles, calculating focus curves, determining tilt angles, and adjusting the focusing parameters without user intervention. The automated algorithm processes the particle positions and depths to self-determine the optimal focus settings, eliminating the need for manual focus adjustment or user input about sample geometry. This self-service approach maintains ease of operation while significantly improving image quality through computationally-driven focus optimization that compensates for container tilts and imperfections.
Data Source
AI summary
A method for autofocusing a microscopy unit is provided that includes imaging a first field of view of a biological sample with the microscopy unit, the biological sample housed within a cartridge chamber inserted into the microscopy unit; detecting a plurality of artificial particles within the first field of view, the plurality of artificial particles dispersed within the biological sample within the cartridge chamber; and determining a focus curve for each of the plurality of artificial particles.