Dynamic light scattering imaging for cell detection of HER-2 positive and triple negative breast cancer

In this manuscript, we aim to develop the dynamic light scattering imaging (DLSI) method to investigate the difference between triple negative breast cancer (TNBC) and human epidermal growth factor receptor-2 (HER-2) positive breast cancer. The experimental device with the capability to obtain time-series light scattering images was well designed and built. The breast cancer cell lines of MDA-MB-231 and HER-2 enriched SKBR3 were prepared and used for experiments. The autocorrelation functions of the light intensity fluctuation were calculated to characterize both types of breast cancer cells. The dynamic light scattering images were further analyzed to establish a DLSI-based approach for automatic classification of the two types of cells. The results show that the proposed DLSI-based model achieved better classification performance compared to the conventional static light scattering-based model.