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Machine learning approach for discrimination of genotypes based on bright-field cellular images

Biology

Machine learning approach for discrimination of genotypes based on bright-field cellular images

G. Suzuki, Y. Saito, et al.

This study showcases the groundbreaking potential of bright-field microscopy images in distinguishing single-gene mutant cells from wild-type cells through a machine learning approach, conducted by leading researchers including Godai Suzuki and Yutaka Saito. Discover how texture features and morphology inference can revolutionize mutant cell profiling!

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