Light scattering pattern specific convolutional network static cytometry for label‐free classification of cervical cells

Cytometry Part A ◽

10.1002/cyto.a.24349 ◽

2021 ◽

Author(s):

Shanshan Liu ◽

Zeng Yuan ◽

Xu Qiao ◽

Qiao Liu ◽

Kun Song ◽

...

Keyword(s):

Light Scattering ◽

Convolutional Network ◽

Scattering Pattern ◽

Cervical Cells ◽

Free Classification ◽

Static Cytometry

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Two‐Dimensional Light Scattering Anisotropy Cytometry for Label‐Free Classification of Ovarian Cancer Cells via Machine Learning

Cytometry Part A ◽

10.1002/cyto.a.23865 ◽

2019 ◽

Vol 97 (1) ◽

pp. 24-30

Author(s):

Xuantao Su ◽

Tao Yuan ◽

Zhiwen Wang ◽

Kun Song ◽

Rongrong Li ◽

...

Keyword(s):

Machine Learning ◽

Ovarian Cancer ◽

Light Scattering ◽

Cancer Cells ◽

Ovarian Cancer Cells ◽

Two Dimensional ◽

Scattering Anisotropy ◽

Free Classification

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Label‐free classification of dead and live colonic adenocarcinoma cells based on 2D light scattering and deep learning analysis

Cytometry Part A ◽

10.1002/cyto.a.24475 ◽

2021 ◽

Author(s):

Shuaiyi Li ◽

Ya Li ◽

Jianning Yao ◽

Bing Chen ◽

Jiayou Song ◽

...

Keyword(s):

Deep Learning ◽

Light Scattering ◽

Colonic Adenocarcinoma ◽

Adenocarcinoma Cells ◽

Free Classification ◽

Learning Analysis

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Automatic Classification of Label‐Free Cells from Small Cell Lung Cancer and Poorly Differentiated Lung Adenocarcinoma with 2D Light Scattering Static Cytometry and Machine Learning

Cytometry Part A ◽

10.1002/cyto.a.23671 ◽

2018 ◽

Vol 95 (3) ◽

pp. 302-308 ◽

Author(s):

Haifeng Wei ◽

Linyan Xie ◽

Qiao Liu ◽

Changshun Shao ◽

Ximing Wang ◽

...

Keyword(s):

Machine Learning ◽

Lung Cancer ◽

Light Scattering ◽

Small Cell Lung ◽

Poorly Differentiated ◽

Static Cytometry

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High-content 2D light scattering flow cytometry for label-free classification of cervical carcinoma cells with deep learning

Optics in Health Care and Biomedical Optics X ◽

10.1117/12.2575099 ◽

2020 ◽

Author(s):

Chao Liu ◽

Qiao Liu ◽

Xuantao Su

Keyword(s):

Flow Cytometry ◽

Deep Learning ◽

Light Scattering ◽

Cervical Carcinoma ◽

Carcinoma Cells ◽

Free Classification

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Rapid and label-free classification of pathogens based on light scattering, reduced power spectral features and support vector machine

Chinese Chemical Letters ◽

10.1016/j.cclet.2020.04.038 ◽

2020 ◽

Vol 31 (12) ◽

pp. 3163-3167

Author(s):

Mubashir Hussain ◽

Zhen Chen ◽

Mu Lv ◽

Jingyi Xu ◽

Xiaohan Dong ◽

...

Keyword(s):

Support Vector Machine ◽

Light Scattering ◽

Support Vector ◽

Spectral Features ◽

Power Spectral ◽

Free Classification

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Towards automated cancer screening: Label-free classification of fixed cell samples using wavelength modulated Raman spectroscopy

Journal of Biophotonics ◽

10.1002/jbio.201700244 ◽

2018 ◽

Vol 11 (4) ◽

pp. e201700244 ◽

Author(s):

Lana Woolford ◽

Mingzhou Chen ◽

Kishan Dholakia ◽

C. Simon Herrington

Keyword(s):

Raman Spectroscopy ◽

Cancer Screening ◽

Free Classification

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Label-free classification of neurons and glia in neural stem cell cultures using a hyperspectral imaging microscopy combined with machine learning

Scientific Reports ◽

10.1038/s41598-018-37241-y ◽

2019 ◽

Vol 9 (1) ◽

Author(s):

Hiroshi Ogi ◽

Sanzo Moriwaki ◽

Masahiko Kokubo ◽

Yuichiro Hikida ◽

Kyoko Itoh

Keyword(s):

Machine Learning ◽

Stem Cell ◽

Hyperspectral Imaging ◽

Neural Stem Cell ◽

Cell Cultures ◽

Free Classification

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Light-sheet flow cytometry for label-free classification of acute and chronic myeloid leukemic cells with machine learning

AOPC 2020: Optical Spectroscopy and Imaging; and Biomedical Optics ◽

10.1117/12.2579964 ◽

2020 ◽

Author(s):

Zhi Li ◽

Guosheng Li ◽

Jun Peng ◽

Xuantao Su

Keyword(s):

Machine Learning ◽

Flow Cytometry ◽

Light Sheet ◽

Leukemic Cells ◽

Free Classification

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Label-free classification of cell types by imaging of cell membrane fluctuations using low-coherent full-field quantitative phase microscopy

10.1117/12.841008 ◽

2010 ◽

Author(s):

Toyohiko Yamauchi ◽

Norikazu Sugiyama ◽

Takashi Sakurai ◽

Hidenao Iwai ◽

Yutaka Yamashita

Keyword(s):

Cell Membrane ◽

Quantitative Phase ◽

Phase Microscopy ◽

Quantitative Phase Microscopy ◽

Membrane Fluctuations ◽

Free Classification

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High accuracy label-free classification of single-cell kinetic states from holographic cytometry of human melanoma cells

Scientific Reports ◽

10.1038/s41598-017-12165-1 ◽

2017 ◽

Vol 7 (1) ◽

Author(s):

Miroslav Hejna ◽

Aparna Jorapur ◽

Jun S. Song ◽

Robert L. Judson

Keyword(s):

Single Cell ◽

Melanoma Cells ◽

High Accuracy ◽

Human Melanoma ◽

Cell Kinetic ◽

Human Melanoma Cells ◽

Free Classification

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