Machine learning-enhanced predictive modeling for arbitrary deterministic lateral displacement design and test

Machine learning-enhanced predictive modeling for arbitrary deterministic lateral displacement design and test 150 150 Transactions on NanoBioscience (TNB)

Abstract:

The separation of biological particles like cells and macromolecules from liquid samples is vital in clinical medicine, supporting liquid biopsies and diagnostics. Deterministic Lateral Displacement (DLD) is prominent for sorting particles in microfluidics by size. However, the design, fabrication, and testing of DLDs are complex and time-consuming. Researchers typically rely …

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