Light scattering properties in spatial planes for label free cells with different internal structures

Label free cells properties of 2D scattering intensity spectra and 3D scattering images in different spatial fields and planes are studied according to three dimensional finite-difference time-domain simulation results. The correlation of intensity spectra and scattering images in different spatial regions are discussed with different cells nucleus size, nucleus off-center situations, small organelles existence and distribution. Compared the scattering information, the most sensitive spatial regions to cells structures changing are figured out which can be selected to improve label free cells distinguishing accuracy. The research results would be very important to fully discover cells spatial scattering features and provide more reliable sorting criterions for label free cells detection technologies.

[1]  Jeffrey S Erickson,et al.  The good, the bad, and the tiny: a review of microflow cytometry , 2008, Analytical and bioanalytical chemistry.

[2]  Andrew K. Dunn,et al.  Three-dimensional computation of light scattering from cells , 1996 .

[3]  V. Backman,et al.  Advances in Biophotonics Detection of Field Carcinogenesis for Colon Cancer Risk Stratification , 2013, Journal of Cancer.

[4]  H. Carlson,et al.  Sorting of White Blood Cells in a Lattice , 1997 .

[5]  Xuantao Su,et al.  Wide‐angle light‐scattering differentiation of organelle‐size particle distributions in whole cells , 2010, Cytometry. Part A : the journal of the International Society for Analytical Cytology.

[6]  S. Shapshay,et al.  Detection of preinvasive cancer cells , 2000, Nature.

[7]  Thomas Wriedt,et al.  Light scattering by single erythrocyte: Comparison of different methods , 2006 .

[8]  G C Salzman,et al.  Differential light scattering photometer for rapid analysis of single particles in flow. , 1980, Applied optics.

[9]  P. Hersey,et al.  TNF-Related Apoptosis-Inducing Ligand-Induced Apoptosis of Melanoma Is Associated with Changes in Mitochondrial Membrane Potential and Perinuclear Clustering of Mitochondria1 , 2000, The Journal of Immunology.

[10]  Andreas Höpe,et al.  Angular distribution of light scattered by single biological cells and oriented particle agglomerates. , 2003, Applied optics.

[11]  A. Liu,et al.  Label-free detection with micro optical fluidic systems (MOFS): a review , 2008, Analytical and bioanalytical chemistry.

[12]  Cheryl R. Gourley,et al.  Ultrafast Nanolaser Flow Device for Detecting Cancer in Single Cells , 2005, Biomedical microdevices.

[13]  Irving Itzkan,et al.  Confocal light absorption and scattering spectroscopic microscopy. , 2007, Applied optics.

[14]  Wojciech Rozmus,et al.  Measurements of light scattering in an integrated microfluidic waveguide cytometer. , 2008, Journal of biomedical optics.

[15]  Xuantao Su,et al.  Microscope-based label-free microfluidic cytometry. , 2011, Optics express.

[16]  Xin-Hua Hu,et al.  Development of a diffraction imaging flow cytometer. , 2009, Optics letters.

[17]  C. Backhouse,et al.  2D light scattering patterns of mitochondria in single cells. , 2007, Optics express.

[18]  Xuantao Su,et al.  Label-free and noninvasive optical detection of the distribution of nanometer-size mitochondria in single cells. , 2011, Journal of biomedical optics.

[19]  W. Mckeehan,et al.  Distinct structural domains within C19ORF5 support association with stabilized microtubules and mitochondrial aggregation and genome destruction. , 2005, Cancer research.

[20]  W. Dong,et al.  Design of an optical system consisting of a special telecentric lens for side-scattering measurement on individual cells , 2010 .

[21]  Dmitry I. Strokotov,et al.  Is there a difference between T- and B-lymphocyte morphology? , 2009, Journal of biomedical optics.

[22]  Ashish K. Tiwari,et al.  Biological Mechanisms Underlying Structural Changes Induced by Colorectal Field Carcinogenesis Measured with Low-Coherence Enhanced Backscattering (LEBS) Spectroscopy , 2013, PloS one.

[23]  Xin-Hua Hu,et al.  Evaluation of a parallel FDTD code and application to modeling of light scattering by deformed red blood cells. , 2005, Optics express.

[24]  Wojciech Rozmus,et al.  Light scattering characterization of mitochondrial aggregation in single cells. , 2009, Optics express.

[25]  C. Capjack,et al.  3-D simulation of light scattering from biological cells and cell differentiation. , 2005, Journal of biomedical optics.

[26]  Zhang Lu,et al.  A novel design in dynamic individual particles scattering measurement based on sheath flow technology , 2009, 2009 4th IEEE Conference on Industrial Electronics and Applications.

[27]  Dmitry V. Marinitch,et al.  Light scattering and morphology of the lymphocyte as applied to flow cytometry for distinguishing healthy and infected individuals. , 2010, Journal of biomedical optics.

[28]  J. Paul Robinson,et al.  Automated classification of bacterial particles in flow by multiangle scatter measurement and support vector machine classifier , 2008, Cytometry. Part A : the journal of the International Society for Analytical Cytology.

[29]  Michael S. Feld,et al.  Measuring cellular structure at submicrometer scale with light scattering spectroscopy , 2001 .

[30]  Angela A. Eick,et al.  Mechanisms of light scattering from biological cells relevant to noninvasive optical-tissue diagnostics. , 1998, Applied optics.

[31]  V. Maltsev.  Scanning flow cytometry for individual particle analysis , 2000 .