Confocal Microscope Super-Resolution via Staged Pixel Grouping
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Solution Overview
Problem
Current high-resolution scanning microscopy techniques are limited by the diffraction limit, and image acquisition processes are time-consuming due to the need for processing large volumes of data from multiple scan positions.
Innovation Solution
The method involves illuminating a sample with a diffraction-limited illumination spot and using a surface detector with pixels that resolve the diffraction structure, where the sample is scanned with increments smaller than the spot diameter, and data is evaluated in two stages by dividing the detector pixels into central and ring groups for accelerated image processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the diffraction image is recorded with an area detector having high spatial resolution that resolves the diffraction structure, then the image resolution beyond the diffraction limit is achieved, but the amount of data to be processed increases significantly
Solution Approach 1:
The evaluation process is divided into two stages: first evaluating data from a central group of pixels, then evaluating data from surrounding ring groups. This segmentation allows the large volume of data from the high-resolution area detector to be processed in manageable portions, reducing the computational burden while maintaining the ability to achieve super-resolution imaging
2Measurement precision
If all data from the area detector is evaluated completely to achieve high resolution, then accurate image reconstruction is obtained, but the processing time increases
Solution Approach 1:
The central group of pixels is evaluated first to obtain preliminary image information before processing the surrounding ring groups. This preliminary action allows for early assessment of image quality and enables progressive refinement of the image reconstruction, reducing overall processing time while maintaining accuracy
3Measurement precision
If the scanning increment is smaller than the diameter of the illumination spot to ensure overlapping measurements, then the resolution beyond the diffraction limit is achieved, but the number of scan positions and data processing complexity increases
Solution Approach 1:
Different groups of pixels (central group vs. surrounding ring groups) are evaluated separately with appropriate scanning increments. The central group uses a first increment while surrounding groups use a second increment, allowing optimization of the scanning process for different spatial frequencies and reducing overall scanning complexity while maintaining super-resolution capability
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 enhances image resolution beyond the diffraction limit and significantly speeds up the image acquisition process by reducing data processing time through staged evaluation, maintaining high resolution in both lateral and axial directions.
Implementation Method 1
the illumination radiation is bundled at a point in or on the sample to form a diffraction-limited illumination spot, the point diffraction-limited in a diffraction image on a Pixel-having area detector
Data Source
Figure 1
Figure 2a~2b
Figure 3
AI summary
The invention relates to a method for the high-resolution scanning microscopy of a specimen (P), wherein: the specimen (P) is illuminated with illuminating radiation such that the illuminating radiation (B) is focussed to a diffraction-limited illuminating spot (14) at a point in or on the specimen; the point is projected in a diffraction-limited manner in a diffraction image (18) onto a flat panel detector (17) having pixels (31), the flat panel detector (17) having, owing to the pixels (31) thereof, a spatial resolution which resolves a diffraction structure (18a) of the diffraction image (18);the point is shifted relative to the specimen (P) into different scanning positions by an increment which is smaller than the diameter of the illuminating spot (14); the flat panel detector (17) is read, and, from the data of the flat panel detector (17) and from the scanning positions assigned to these data, a 3D image of the specimen (P) is generated, said 3D image having a resolution which is greater than a resolution limit of the projection, the pixels (31) of the flat panel detector (17) being divided into groups (32, 33) which have a central group (32) lying on an optical axis and a further group (33) which surrounds the central group (32) in a ring; and a pre-calculated raw image is calculated for each group (32, 33) and the pre-calculated raw images are unfolded three-dimensionally to generate the image of the specimen (P).