Airyscan Detector Segmentation for Resolution and Complexity
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Solution Overview
Problem
Modern laser scanning microscopes with Airyscan detectors have complex and costly components, limiting the accessibility and cost-effectiveness of high-resolution imaging.
Innovation Solution
A simplified microscope structure using detectors with four or five elements, such as quadrant PMT or APD detectors, in conjunction with a phase element to redistribute light and minimize dead regions, allowing for efficient high-resolution image capture through the Airyscan method.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a 32-channel Airyscan detector is used, then high-resolution imaging performance is achieved, but device complexity and cost increase
Solution Approach 1:
The detector is segmented into a small number of discrete elements (4-5 elements) rather than using a full 32-channel array. Each element captures light from specific regions, and the segmentation is optimized to maintain sufficient resolution while dramatically reducing complexity. The evaluation unit then processes these segmented signals to reconstruct the image.
Solution Approach 2:
Instead of using all 32 detector channels to capture the complete point spread function, the invention uses only a partial set (4-5 elements). This partial sampling approach provides sufficient information for high-resolution imaging while reducing the number of components needed, thereby lowering complexity and cost.
2Measurement precision
If a 32-channel Airyscan detector is used, then high-resolution imaging performance is achieved, but cost increases
Solution Approach 1:
The invention replaces expensive 32-channel Airyscan detectors with cheaper alternative detectors that have only 4-5 elements. These simpler detectors are significantly more cost-effective while still achieving the required imaging performance, making high-resolution microscopy more accessible.
Solution Approach 2:
By using only a partial set of detector elements (4-5 instead of 32), the system reduces manufacturing costs while maintaining sufficient imaging quality. The partial sampling approach eliminates the need for expensive multi-channel detector arrays.
3Measurement precision
If detector elements are arranged to capture detection radiation, then imaging capability is achieved, but dead regions reduce efficiency
Solution Approach 1:
The detector elements are arranged asymmetrically in a circular pattern rather than in a uniform grid. This asymmetric arrangement allows the elements to be positioned optimally to capture light from the sample while minimizing dead regions between elements. The circular symmetry adapted to the beam cross-section ensures uniform light collection efficiency.
Solution Approach 2:
Each detector element is positioned and sized to optimally capture light from specific local regions of the sample. The arrangement is designed so that each element's location maximizes its useful detection capability while minimizing adjacent dead regions, ensuring high overall detection efficiency.
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 configuration achieves over 90% of the performance of 32-channel detectors with improved resolution, enabling cost-effective and compact high-resolution imaging while reducing the complexity of existing systems.
Implementation Method 1
an upstream light redistribution on the detector elements, for example on a fiber bundle basis
Implementation Method 2
each of the detector elements acting as a so-called pinhole and capturing a component of the detection light
Implementation Method 3
The captured image data are evaluated by means of an evaluation unit configured to this end, for example by means of a computer, in accordance with the Airyscan method
Data Source
AI summary
Apparatus and method for capturing an image having a detection beam path for guiding detection radiation from a sample to a detector having a plurality of detector elements. The detector has no more than ten and, preferably, four or five detector elements; and an evaluation unit, which is configured to carry out an evaluation in accordance with the Airyscan method on the image data captured by means of the detector and which generates a high-resolution image.