Biological Image Segmentation via Contour Masking for Lipid Droplet Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Automated image processing systems face difficulties in distinguishing and counting cells with overlapping or densely packed membranes, leading to inaccuracies in measuring cellular responses, particularly in cases where lipid droplets are involved, as existing algorithms are not effectively adapted for regular circular outlines.
Innovation Solution
A system and method that processes magnified images of biological material by applying a contour-finding function to create a contour mask, segmenting the image into structural regions like nucleus, plasma membrane, cytoplasm, and lipid droplets, using a combination of reagents for fixing and staining, and a program product for image segmentation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If automated image processing systems use existing algorithms to detect cells, then the processing can be performed generally, but the accuracy is insufficient for cells with overlapping or densely packed membranes and regular circular outlines like lipid droplets
Solution Approach 1:
The patent applies different image processing algorithms to different types of cellular structures based on their specific characteristics. General cell detection algorithms are used for typical cells with irregular membranes, while a specialized circular outline detection algorithm is applied specifically to lipid droplets and other structures with regular circular outlines. This local adaptation of algorithm quality to match local structural characteristics resolves the contradiction between measurement precision and algorithm versatility.
2Productivity
If existing image processing algorithms are used for densely packed cells, then the system can handle high throughput, but the ability to distinguish and count individual cells deteriorates
Solution Approach 1:
The patent segments the image processing task into distinct stages: initial automated detection for high throughput, followed by specialized contour analysis for accurate cell boundary separation. The contour mask generation and contour finding algorithms specifically address overlapping membranes by detecting continuous contours and separating touching cells. This segmentation of processing stages maintains high throughput while improving cell counting accuracy in densely packed regions.
3Device complexity
If general image processing algorithms are applied to all cellular components, then the process is simple, but the visualization and measurement of specific components like lipid droplets is insufficient
Solution Approach 1:
The patent enhances visualization by applying a specialized circular outline detection algorithm specifically to lipid droplets and similar structures, while using general algorithms for other cellular components. This local enhancement of processing quality for specific components improves measurement precision without requiring complete redesign of the entire image processing system, thus managing complexity while improving accuracy for critical measurements.
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
Enhances the visualization and measurement of cellular components by accurately identifying and segmenting cells and lipid droplets, improving the accuracy of cellular response analysis and lipid metabolism studies.
Implementation Method 1
A system and method for processing an original image of biological material to identify certain components of a biological object in the image
Implementation Method 2
a step of fixing activated biological material includes applying one or more reagents to the material to stop the stimulated activity and lock the structure of the activated material against further change
Implementation Method 3
an antibody fused with a fluorescent molecule may be transported into cytoplasm and bound to a specific enzyme presumed to be responsive to an applied stimulus. The stain enhances the visibility of that enzyme when the cellular material is subjected to an illumination that causes the molecule to fluoresce
Data Source
AI summary
A system, method and kit for processing an original image of biological material to identify certain components of a biological object by locating the biological object in the image, enhancing the image by sharpening components of interest in the object, and applying a contour-finding function to the enhanced image to create a contour mask. The contour mask may be processed to yield a segmented image divided by structural units of the biological material.