Dynamic light scattering microscopy sensing mitochondria dynamics for label-free detection of triple-negative breast cancer enhanced by deep learning

Meiai Lin; Ting Liu; Yixiong Zheng; Xiangyuan Ma

doi:10.1364/BOE.502083

Dynamic light scattering microscopy sensing mitochondria dynamics for label-free detection of triple-negative breast cancer enhanced by deep learning

Biomed Opt Express. 2023 Sep 6;14(10):5048-5059. doi: 10.1364/BOE.502083. eCollection 2023 Oct 1.

Authors

Meiai Lin¹, Ting Liu², Yixiong Zheng¹, Xiangyuan Ma¹

Affiliations

¹ Department of Biomedical Engineering, College of Engineering, Shantou University, Shantou 515063, China.
² Department of Biology, College of Science, 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.