Automated Micronuclei Scoring via Single-Channel Nuclear Staining
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Solution Overview
Problem
Current methods for micronucleus scoring in cell assays are time-consuming, require multiple stains and trained personnel, and are subjective, especially in high confluency samples, making them inefficient and costly for genotoxicity and cytotoxicity testing.
Innovation Solution
A computer-implemented method that processes fluorescent images of cell nuclei alone, without cytoplasmic staining, to accurately count and identify micronuclei and nuclei, using parameters like size and intensity to segment and assign nuclei to cells, and calculate micronuclei frequency, enabling automated and objective analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If separate cytoplasm and nuclear staining is used for micronucleus scoring, then cell boundary detection accuracy is improved, but analysis time and cost increase significantly
Solution Approach 1:
The invention extracts and eliminates the cytoplasmic staining step from the traditional two-stain protocol. By using only nuclear staining (e.g., DAPI or Hoechst) and advanced image processing algorithms, the method achieves accurate cell boundary detection without requiring separate cytoplasm imaging, thereby reducing analysis time and complexity while maintaining measurement precision
Solution Approach 2:
The invention replaces the physical/chemical staining mechanism (cytoplasmic stain application) with a computational approach (image processing algorithms). The system uses software-based cell boundary detection and nuclei assignment algorithms to achieve results previously requiring dual-stain chemical labeling, thus eliminating the time-consuming cytoplasm staining and imaging steps
2Measurement precision
If manual scoring by trained personnel is used, then subjective accuracy is improved, but productivity and objectivity deteriorate
Solution Approach 1:
The invention implements self-service through automated image analysis algorithms that independently perform cell boundary detection, nuclei identification, and micronucleus scoring without human intervention. The system processes images objectively using predefined computational criteria, eliminating subjectivity while maintaining high productivity through automated batch processing of multiple samples
Solution Approach 2:
The system incorporates feedback mechanisms where processing results are continuously refined through iterative algorithm optimization. The automated scoring system uses feedback from image processing outcomes to adjust detection parameters and improve accuracy, achieving objective results that match or exceed manual scoring quality while dramatically increasing throughput
3Measurement precision
If dual-channel fluorescent imaging is used, then cell and nuclei identification accuracy is improved, but device complexity and cost increase
Solution Approach 1:
The invention extracts and removes the requirement for dual-channel fluorescent imaging from the protocol. By utilizing only single-channel nuclear staining images combined with sophisticated image processing techniques, the method achieves accurate nuclei and cell boundary identification without the need for separate cytoplasmic imaging channels, thereby reducing device complexity and instrumentation requirements
Solution Approach 2:
The invention makes the nuclear stain serve multiple functions simultaneously: it labels nuclei for identification, provides contrast for cell boundary detection through image processing, and enables micronucleus identification. This multi-functional use of a single stain eliminates the need for separate cytoplasmic staining and imaging systems, reducing overall device complexity while maintaining measurement precision
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 method significantly reduces analysis time, eliminates the need for cytoplasmic staining, and improves accuracy, allowing for rapid evaluation of genotoxicity and cytotoxicity in drug development, enabling earlier stage testing and cost savings.
Implementation Method 1
Different stains are usually applied to cell nuclei and cytoplasm of the cultured cells. The nuclei stain and the cytoplasm stain are selectively excited using a different combination of excitation and emission filters, and separate fluorescent images of the stained cell nuclei and cytoplasm are obtained.
Data Source
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AI summary
The invention relates to a computer-implemented method for counting micronuclei of a plurality of cells in a cell-containing sample, the method comprising: receiving (902) a raw image of the cell-containing sample; receiving (904) one or more micronuclei parameters specifying an estimated size, a minimum intensity, and a distance range from a main nucleus for micronuclei in the raw image; transforming (908) the raw image into a second segmented image comprising one or more unattached micronuclei based on the one or more micronuclei parameters; transforming (910) the raw image into a third segmented image comprising one or more nuclei clusters based on the one or more micronuclei parameters such that the third segmented image has sufficient resolution to include attached micronuclei in the one or more nuclei clusters; detecting (912) any attached micronuclei in the one or more nuclei clusters in the third segmented image; assigning (914) each of the unattached and the attached micronuclei to a cell among the plurality of cells; and calculating (916) a micronuclei count for each of the plurality of cells by tallying the unattached and the attached micronuclei that are assigned to the cell.