Automated Z-Range Definition in Microscopy Sharpness Analysis
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Solution Overview
Problem
The manual definition of the z-range in microscopy for recording z-stacks is subjective, time-consuming, and prone to variations, leading to difficulties in reproducing image intensities and placing a high load on samples.
Innovation Solution
An automated method defines the z-range based on a z-value within the sample and predetermined parameters, such as sharpness measurements, allowing for objective and rapid determination of the z-range, eliminating the need for manual intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual definition of z-range is used, then user can control recording parameters, but definition is time-consuming and subjective
Solution Approach 1:
The system performs self-service by automatically determining the z-range through evaluation of image sharpness or other parameters, eliminating the need for manual user intervention in defining the z-range while maintaining appropriate control over recording parameters
Solution Approach 2:
The invention changes the approach from manual parameter setting to automatic parameter determination based on image analysis. The system evaluates image sharpness or other parameters at different z-positions and automatically defines the z-range based on these evaluations, transforming the operation from subjective manual control to objective automated control
2Ease of operation
If manual definition of z-range is used, then user can adjust parameters, but reproducibility is poor due to subjective impressions
Solution Approach 1:
The system uses feedback from image analysis to automatically determine the z-range. By evaluating image sharpness or other parameters at different z-positions and using this feedback to define the recording range, the system achieves reproducible results that are independent of subjective user impressions while maintaining appropriate parameter control
Solution Approach 2:
The invention replaces the mechanical/manual system of user-based parameter adjustment with an automated image analysis system. This substitution eliminates the variability introduced by different users' subjective impressions and achieves consistent, reproducible z-range definitions across different samples and operators
3Measurement precision
If manual setting of z-range limits is performed, then precise control is possible, but sample load increases due to slow definition
Solution Approach 1:
The system performs preliminary evaluation of image sharpness or other parameters at different z-positions before defining the final z-range for recording. This preliminary action allows the system to quickly identify the appropriate recording range and minimize unnecessary recordings, thereby reducing sample load while maintaining precise control over the actual recording parameters
Data Source
AI summary
A method for defining a z-range in a sample in which a z-stack of the sample is to be recorded by means of a microscope is provided, wherein the z-range is defined automatically on the basis of a z-value situated in the sample and taking at least one predetermined parameter into account.