Cell health situation relates to its inter structures closely. Cell scattering measurement can be a non-invasive measurement method to obtain cells structure information. But normal scattering detection by original scattering spectrum can not identify cells inner structure changing, such as nucleus radii difference. Traditional scattering spectrum analysis method for identifying cells is to plot the forward scattering (FS) light intensity against side scattering (SS) light intensity. Overlapping phenomenon always occurs which leads to serious error or even mistakes in cells identification results. The Novel even scattering angle superposition algorithm and even incident angle superposition algorithm are put forward herein. In this way, the same kind of cells with different inner structures can be effectively distinguished. The rapid, convenient and label-free cells assorting and detecting can be therefore well accomplished, and these novel methods could be a kind of important diagnostic tool in cancer or other malignant cells diagnosis.
Label enhanced and patch based deep learning for phase retrieval from single frame fringe pattern in fringe projection 3D measurement
