Researchers developed MAGIC, an AI-based system integrating automated microscopy and genomics to study chromosomal abnormalities linked to cancer.
Key Details
- 1MAGIC uses automated microscopy, AI-driven image analysis, and single-cell genome sequencing to identify and tag abnormal cells.
- 2The system can analyse nearly 100,000 cells in less than a day, vastly exceeding manual methods.
- 3Chromosomal abnormalities were seen in just over 10% of cell divisions, doubling with mutated p53 gene.
- 4MAGIC relies on a laser and photoconvertible dye to mark target cells, facilitating further analysis.
- 5The tool is versatile and can be trained to identify a variety of visually distinct cellular features.
Why It Matters
MAGIC represents a significant step forward in combining imaging AI and genomic methods for the high-throughput study of cellular abnormalities, offering potential advances in cancer detection and understanding cancer origins. Such AI-driven image analysis tools could pave the way for faster, more precise research and diagnostics in radiology and oncology.
Source
EurekAlert
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