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Even Interval Incident Angle Algorithm: An Effective Laser Scattering Spectra Processing Method for Distinguishing Label-free Cells with Similar Size but Tiny Structural Differences
L. Zhang, H. Zhao, W. Chen, G-X. Zheng, Z-D. Jiang, L. Yuan and X. Zhao

Distinguishing label-free malignant cells from healthy ones by their laser scattering spectra is still a tough challenge in label-free cells detection methods. During cells malignant transferring, some tiny structural differences occurs. The nucleus, as the most important internal structure, has very close relationships with cell’s healthy state. In this paper, cells with similar size but different tiny nucleus differences are set as the research objects. A novel cell’s laser scattering processing algorithm, even interval incident angle (EIIA) algorithm, is developed which is effective in distinguish label-free cells with tiny nucleus’ size difference. The laser scattering spectra of human acute leukaemia Jurkat cell models with different nuclei are processed by EIIA to test its sensitivity and reliability. The results prove that cell’s original tightly compacted laser scattering spectra have been well separated by EIIA. A consistent rule for cell’s nucleus becoming larger can be obviously observed in EIIA processed laser scattering results, which is promising to be an effective standard for identifying malignant larger nucleus cells from healthy ones; therefore, a valid pathway for identify label-free cells simply and directly by their laser scattering spectra can be implemented by EIIA. Also, it may supply an important clinic diagnosis tool to detect malignant cells in early cancerous stage without any dying and marking procedures.

Keywords: Laser scattering, label-free cells, structure, Jurkat cell model, even interval incident angle (EIIA) algorithm, finite difference time domain (FDTD) method, scattering spectrum

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