High-Throughput Recognition of Tumor Cells Using Label-Free Elemental Characteristics Based on Interpretable Deep Learning.
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DOI: 10.1021/acs.analchem.1c04553
Abstract: With cancer seriously hampering the increasing life expectancy of people, developing an instant diagnostic method has become an urgent objective. In this work, we developed a label-free laser-induced breakdown spectroscopy (LIBS) method for high-throughput recognition… read more here.
Keywords: label free; recognition tumor; throughput recognition; learning ... See more keywords