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

Zhang, Lu; Qin, Yuwen; Li, Kaixing; Zhao, Xin; Xing, Yifan; Zhao, Hong; Jiang, Zhuangde; Chen, Wei; N, Yao; Li, Yuan

doi:10.1007/s11082-014-9957-4

Cited by 11 publications

(8 citation statements)

References 29 publications

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“…The challenges for DI simulations are to establish realistic optical cell models (OCMs) and quantify the coherent wavefields of scattered light propagating through imaging optics. Nearly, all reported OCMs up to now have been developed as single or mixed spheres and ellipsoids . Other studies have been pursued in modeling light scattering by nonspherical but homogeneous red blood cells and platelets such as biconcave disks, bell‐shaped curves, bispheres and overcurved rings .…”

Section: Introductionmentioning

confidence: 73%

Development and evaluation of realistic optical cell models for rapid and label‐free cell assay by diffraction imaging

Wang

Liu

et al. 2018

Journal of Biophotonics

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Methods for rapid and label-free cell assay are highly desired in life science. Single-shot diffraction imaging presents strong potentials to achieve this goal as evidenced by past experimental results using methods such as polarization diffraction imaging flow cytometry. We present here a platform of methods toward solving these problems and results of optical cell model (OCM) evaluations by calculations and analysis of cross-polarized diffraction image (p-DI) pairs. Four types of realistic OCMs have been developed with two prostate cell structures and adjustable refractive index (RI) parameters to investigate the effects of cell morphology and index distribution on calculated p-DI pairs. Image patterns have been characterized by a gray-level co-occurrence matrix (GLCM) algorithm and four GLCM parameters and linear depolarization ratio δ L have been selected to compare calculated against measured data of prostate cells. Our results show that the irregular shapes of and heterogeneity in RI distributions for organelles play significant roles in the spatial distribution of scattered light by cells in comparison to the average RI values and their differences among the organelles. Discrepancies in GLCM and δ L parameters between calculated and measured p-DI data provide useful insight for understanding light scattering by single cells and improving OCM.

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Section: Introductionmentioning

confidence: 73%

Development and evaluation of realistic optical cell models for rapid and label‐free cell assay by diffraction imaging

Wang

Liu

et al. 2018

Journal of Biophotonics

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“…Some special simulation algorithms are applied when programming. After all the conditions are set well, the scattering simulation for the complex and irregular structure can be implemented by FDTD method, which is developed by our programs [10]. …”

Section: Amentioning

confidence: 99%

Spatial scattering specificities study on label free clinical lymphocyte cells of human peripheral blood

Zhang

Zhao

Chen

et al. 2015

2015 IEEE 10th Conference on Industrial Electronics and Applications (ICIEA)

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The 2D and 3D scattering intensity spectra of label free clinical lymphocyte cells which are in both normal growing state and abnormal pathological states are studied according to three dimensional finite-difference time-domain (FDTD) simulation results. The correlation of intensity spectra and scattering images in different spatial regions are discussed for different cells' structural differences during their pathological changing processes. Some important ground truths which can be effectively adopted for distinguish lymphocyte cells from healthy ones in human peripheral blood without any dying or label techniques are put forward. 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.

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“…According to the parameters, finite difference time domain method (FDTD) is utilized to simulate laser scattering spectra in spatial fields. The detail methods for FDTD modeling and programming have be published before [18]. A set of FDTD scattering spectra for label-free Jurkat cells with nucleus size changing from 2.…”

Section: Even Interval Incident Angle Algorithmmentioning

confidence: 99%

A novel laser scattering spectrum diagnosis method for distinguishing label free cells with tiny different structural properties

Zhang

Zhao

et al. 2015

2015 IEEE 10th Conference on Industrial Electronics and Applications (ICIEA)

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A novel label free cells identification method is put forward. Even interval incident angle algorithm (EIIA) is developed which is effective in distinguish label free cells with tiny structural property differences. The spectra of human acute leukaemia Jurkat cell models with different nuclei are processed by EIIA to test the sensitivity and reliability of this identification method. According to EIIA processing results, it can be proved that the original heavily compacted spectra are well separated, and some obvious standards which can be adopted to identify abnormal cells from healthy ones emerge. EIIA method provides a valid pathway for identify label free cells simply and directly by their laser scattering spectra. And it may supply an important clinic diagnosis tool to detect malignant cells in early cancerous stage without any dying and marking procedures.

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

Cited by 11 publications

References 29 publications

Development and evaluation of realistic optical cell models for rapid and label‐free cell assay by diffraction imaging

Development and evaluation of realistic optical cell models for rapid and label‐free cell assay by diffraction imaging

Spatial scattering specificities study on label free clinical lymphocyte cells of human peripheral blood

A novel laser scattering spectrum diagnosis method for distinguishing label free cells with tiny different structural properties

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