Label‐Free Cell Classification with Diffraction Imaging Flow Cytometer

Hu, Xin‐Hua; Lu, Jun Q.

doi:10.1002/9783527634286.ch11

Cited by 2 publications

(2 citation statements)

References 48 publications

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“…It takes advantage of 2-D imaging sensors to record the angular distribution of coherently scattered light from flowing particles and cells. [148][149][150] This method is being developed to facilitate label-free cell classification and extraction of 3-D morphological features. 150 Neukammer et al used two wavelengths to separate different blood cells.…”

Section: Flow Cytometrymentioning

confidence: 99%

“…[148][149][150] This method is being developed to facilitate label-free cell classification and extraction of 3-D morphological features. 150 Neukammer et al used two wavelengths to separate different blood cells. They used an optical trap to position and orient single particles and particle clusters to investigate differential light scattering and demonstrated the analysis of optically trapped microspheres with light scattering from a 2-D image.…”

Section: Flow Cytometrymentioning

confidence: 99%

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Overview of single-cell elastic light scattering techniques

Karmenyan

2015

J. Biomed. Opt

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We present and discuss several modern optical methods based on elastic light scattering (ELS), along with their technical features and applications in biomedicine and life sciences. In particular, we review some ELS experiments at the single-cell level and explore new directions of applications. Due to recent developments in experimental systems (as shown in the literature), ELS lends itself to useful applications in the life sciences. Of the developed methods, we cover elastic scattering spectroscopy, optical tweezer-assisted measurement, goniometers, Fourier transform light scattering (FTLS), and microscopic methods. FTLS significantly extends the potential analysis of single cells by allowing monitoring of dynamical changes at the single-cell level. The main aim of our review is to demonstrate developments in the experimental investigation of ELS in single cells including issues related to theoretical “representations” and modeling of biological systems (cells, cellular systems, tissues, and so on). Goniometric measurements of ELS from optically trapped single cells are shown and the importance of the experimental verification of theoretical models of ELS in the context of biomedical applications is discussed.

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Section: Flow Cytometrymentioning

confidence: 99%

Section: Flow Cytometrymentioning

confidence: 99%

Overview of single-cell elastic light scattering techniques

Karmenyan

2015

J. Biomed. Opt

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Single‐Particle Characterization by Elastic Light Scattering

Romanov

Yurkin

2021

Laser & Photonics Reviews

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The field of light‐scattering characterization of single particles has seen a rapid growth over the last 30 years largely due to the progress in measurement and simulation capabilities. In particular, several methods have been developed to reliably characterize various particles, described by a model with several characteristics, with geometric resolution significantly better than the diffraction limit. However, their development has been largely fragmentary, limited to specific experimental set‐ups. To fill this gap, these lines of development are reviewed within a unified framework. While focusing on characterization algorithms themselves, the experimental aspects related to the isolation and measurement of single particles are also discussed. The existing characterization methods are divided into three classes. The widest class is that of model‐driven methods based on solving parametric inverse light‐scattering problems, using a direct inversion of a low‐dimensional mapping, a nonlinear regression, or neural networks. Other classes include model‐free reconstruction methods and data‐driven classification methods. This review is designed to be extensive in including all relevant literature, but the discussion of semi‐quantitative imaging methods, such as tomography or holography‐based reconstruction, is deliberately omitted. Throughout the review the development of various characterization methods is described, they are critically compared, and promising directions of future research are highlighted.

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Label‐Free Cell Classification with Diffraction Imaging Flow Cytometer

Cited by 2 publications

References 48 publications

Overview of single-cell elastic light scattering techniques

Overview of single-cell elastic light scattering techniques

Single‐Particle Characterization by Elastic Light Scattering

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