Fluorescence Microscopy Brightness Range Processing Without Invalid Pixels
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Solution Overview
Problem
Fluorescence microscopic images often contain invalid pixels due to saturation, detection errors, or calculation errors, which interfere with the determination of relevant brightness values and hinder efficient image processing.
Innovation Solution
A fluorescence microscope system that identifies and assigns a predetermined value to invalid pixels, determines a range of valid brightness values, and generates a processed image based on these values, allowing for efficient extraction of sample information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If invalid pixels are included in the brightness range determination, then the full dynamic range is utilized, but the image quality and information extraction are degraded due to artifacts
Solution Approach 1:
The patent extracts and removes invalid pixels from the image data before performing brightness range determination. Invalid pixels are identified and excluded, allowing the system to calculate brightness ranges based only on valid pixels, thereby improving image quality while maintaining information integrity.
Solution Approach 2:
The patent performs preliminary identification and classification of invalid pixels before proceeding with brightness range determination. By pre-processing the image to mark and separate invalid pixels, the system ensures that subsequent analysis is based on clean, reliable data, preventing artifacts from degrading image quality.
2Illumination intensity
If the brightness range is extended to full dynamic range, then weak signals are visible, but invalid pixels interfere with the determination of the brightness range
Solution Approach 1:
The patent extracts invalid pixels from the dataset used for brightness range determination. By removing these artifacts before calculating the brightness range, the system accurately determines the true signal range without interference from invalid data, enabling proper visualization of weak signals.
Solution Approach 2:
The patent performs preliminary validation of pixels to identify and separate invalid ones before determining the brightness range. This pre-processing step ensures that the brightness range calculation is based solely on valid signal data, maintaining measurement precision while allowing full dynamic range extension for visibility.
3Productivity
If all pixels are processed without exclusion, then the processing is simple, but the extracted information is contaminated by artifacts
Solution Approach 1:
The patent performs preliminary identification of invalid pixels before the main processing workflow. By pre-classifying pixels as valid or invalid, the system can efficiently process only valid pixels for information extraction, maintaining high productivity while preventing artifact contamination.
Solution Approach 2:
The patent segments the pixel population into valid and invalid categories. This segmentation allows the processing system to operate on only the valid pixel subset, improving efficiency by avoiding unnecessary processing of artifacts while ensuring information integrity.
Data Source
AI summary
A fluorescence microscope system including an optical detection system configured to capture a raw image of a sample, the raw image including a plurality of pixels, each pixel having a brightness value and a processor, configured to determine one or more invalid pixels in the raw image, assign a predetermined value to each invalid pixel, determine a range of brightness values including the brightness values of a majority of the plurality of pixels excluding the one or more invalid pixels, and generate a processed image of the sample based on the determined range of brightness values.