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Dynamic light scattering microscopy sensing mitochondria dynamics for label-free detection of triple-negative breast
Meiai Lin1, Ting Liu2, Yixiong Zheng1
1Department of Biomedical Engineering, College of Engineering, Shantou University, Shantou 515063, China.
Abstract:
We established a deep learning-based dynamic light scattering (DLS) microscopy sensing mitochondria dynamic for label-free identification of triple-negative breast cancer (TNBC) cells. The capacity of DLS microscopy to detect the intracellular motility of subcellular scatters was verified with the analysis of the autocorrelation function. We also conducted an in-depth examination of the impact of mitochondrial dynamics on DLS within TNBC cells, employing confocal fluorescent imaging to visualize the morphology of the mitochondria. Furthermore, we applied the DLS microscopy incorporating the two-stream deep learning method to differentiate the TNBC subtype and HER2 positive breast cancer subtype, with the classification accuracy achieving 0.89.
