Prof. Xuantao Su Profile

Prof. Xuantao Su

Professor at Shandong Univ

SPIE Involvement:

Conference Co-Chair | Track Chair | Author | Editor

Area of Expertise:

Biomedical MOEMS , Light scattering imaging , Single cell methods , Imaging flow cytometry , Biophotonics , AI for biomedicine

Publications (32)

Proceedings Article | 5 December 2024 Paper

Multiplex imaging flow cytometry with content-aware image restoration deep learning enhances cell imaging quality

Zhiwen Wang, Jie Zhou, Qiao Liu, Limei Wang, Xuantao Su

Proceedings Volume 13418, 134183R (2024) https://doi.org/10.1117/12.3048765

KEYWORDS: Flow cytometry, Image enhancement, Deep learning, Biomedical optics, Analytical research

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Proceedings Article | 8 October 2024 Paper

Light scattering imaging combined with machine learning for label-free identification of live yeast cells

Faihaa Mohammed Eltigani, Nebras Ahmed Mohamed, Xuantao Su

Proceedings Volume 13271, 132710G (2024) https://doi.org/10.1117/12.3039875

KEYWORDS: Light scattering, Yeast, Refractive index, Machine learning, Live cell imaging, Inverse scattering problem, Laser scattering, Objectives, Mie scattering, Microscopy

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Proceedings Article | 8 October 2024 Paper

Optimization of trajectory length in light scattering imaging for nanoparticle diffusion analysis

Nebras Ahmed Mohamed, Faihaa Mohammed Eltigani, Qiao Liu, Xuantao Su

Proceedings Volume 13271, 132710F (2024) https://doi.org/10.1117/12.3039874

KEYWORDS: Diffusion, Light scattering, Nanoparticles, Particles, Motion analysis, Machine learning, Objectives, Biological research

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Proceedings Article | 12 March 2024 Paper

Label-free light scattering imaging of nanoscale small extracellular vesicles

Faihaa Mohammed Eltigani, Zhuo Wang, Qiao Liu, Shuanglian Wang, Xuantao Su

Proceedings Volume 12846, 1284605 (2024) https://doi.org/10.1117/12.3001048

KEYWORDS: Light scattering, Nanoparticles, Quantitative analysis, Inverse scattering problem, Deep learning, Biomedical optics, Analytical research, Liver cancer

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Proceedings Article | 12 March 2024 Presentation + Paper

Development of a single-detector imaging flow cytometer for light scattering and fluorescence dual-modality analysis with deep learning

Zhiwen Wang, Jie Zhou, Qiao Liu, Xuantao Su

Proceedings Volume 12846, 1284608 (2024) https://doi.org/10.1117/12.3001191

KEYWORDS: Biomedical optics, Deep learning, Light scattering, Microspheres, Fluorescence imaging, Flow cytometry, Fluorescence, Ovarian cancer, Mie scattering, Imaging systems

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Proceedings Article | 27 November 2023 Poster + Paper

Noise effects on label-free nanoparticles classification using light scattering imaging and deep-learning algorithm

Nebras Ahmed Mohamed, Faihaa Mohammed Eltigani, Xuantao Su

Proceedings Volume 12770, 127701O (2023) https://doi.org/10.1117/12.2685880

KEYWORDS: Nanoparticles, Light scattering, Speckle, Image classification, Deep learning, Data modeling, Performance modeling, Imaging systems, Education and training, Biological imaging

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Proceedings Article | 27 November 2023 Poster + Paper

Refractive index-based microparticle differentiation by light scattering imaging

Faihaa Mohammed Eltigani, Nebras Ahmed Mohamed, Xuantao Su

Proceedings Volume 12770, 127701N (2023) https://doi.org/10.1117/12.2685879

KEYWORDS: Light scattering, Refractive index, Silica, Polystyrene, Mie scattering, Imaging systems, Image analysis

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Proceedings Article | 24 November 2023 Paper

Light-sheet dual-modality imaging flow cytometry with a single detector for label-free particle analysis

Zhi Li, Kexin Deng, Xuantao Su

Proceedings Volume 12935, 1293504 (2023) https://doi.org/10.1117/12.2692164

KEYWORDS: Microspheres, Particles, Light scattering, Flow cytometry, Biological imaging, Analytical research, Laser scattering, Channel projecting optics, Objectives, Microfluidics

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Proceedings Article | 18 July 2023 Paper

Processing and analysis of motion-blur images in light scattering flow cytometry

Fubang Yuan, Zhiwen Wang, Qiao Liu, Xuantao Su

Proceedings Volume 12745, 1274511 (2023) https://doi.org/10.1117/12.2682917

KEYWORDS: Light scattering, Particles, Deblurring, Flow cytometry, Microspheres, Motion blur, Image processing, Mie scattering

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Proceedings Article | 18 July 2023 Paper

Label-free analysis of single microparticles and nanoscale exosomes with two-dimensional light scattering technology

Zhuo Wang, Aishi Wang, Qiao Liu, Shuanglian Wang, Xuantao Su

Proceedings Volume 12745, 1274507 (2023) https://doi.org/10.1117/12.2682909

KEYWORDS: Light scattering, Nanoparticles, Visualization, Cancer detection, Flow cytometry

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Proceedings Article | 24 November 2021 Paper

Defocusing effects on label-free cervical cancer cell classification by two-dimensional light scattering static cytometry and machine learning

Jinmei Xie, Ran Chu, Shanshan Liu, Kun Song, Xuantao Su

Proceedings Volume 12067, 120670H (2021) https://doi.org/10.1117/12.2606965

KEYWORDS: Light scattering, Cervical cancer, Machine learning, Flow cytometry, Feature extraction, Speckle, Medical research, Cancer

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Proceedings Article | 1 November 2021 Paper

Detection of microparticles in flow by 2D light scattering and fluorescence imaging

Xin Qi, Zhuo Wang, Xuantao Su

Proceedings Volume 12057, 120573J (2021) https://doi.org/10.1117/12.2606539

KEYWORDS: Light scattering, Particles, Mie scattering, Microfluidics, Sensors, Medical research

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Proceedings Article | 9 October 2021 Presentation + Paper

A microfluidic cytometer with integrated on-chip optical systems for white blood cell analysis

Xinyue Su, Tao Peng, Qin Li, Zewen Wei, Xuantao Su

Proceedings Volume 11900, 119000J (2021) https://doi.org/10.1117/12.2602522

KEYWORDS: Microfluidics, Blood, Particles, Microlens, Flow cytometry, Analytical research

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Proceedings Article | 5 November 2020 Paper

Label-free characterization of cancerous ovarian tissues with continuous wave terahertz spectroscopy

Jinhua Zhang, Zhanghua Han, Cunzhong Yuan, Shujie Liu, Shu Yao, Kun Song, Xuantao Su

Proceedings Volume 11562, 115620V (2020) https://doi.org/10.1117/12.2579800

KEYWORDS: Terahertz radiation, Tissues, Absorption, Transmittance, Ovarian cancer, Spectroscopy, Continuous wave operation, Terahertz spectroscopy

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Proceedings Article | 5 November 2020 Paper

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

Zhi Li, Guosheng Li, Jun Peng, Xuantao Su

Proceedings Volume 11566, 1156614 (2020) https://doi.org/10.1117/12.2579964

KEYWORDS: Leukemia, Light scattering, Flow cytometry, Machine learning, Scattering, Laser scattering, Image classification, Video, Optical testing

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Proceedings Article | 10 October 2020 Poster + Paper

Differentiation of submicron particles with two-dimensional light scattering technology

Zhuo Wang, Xuantao Su

Proceedings Volume 11553, 115532C (2020) https://doi.org/10.1117/12.2574347

KEYWORDS: Light scattering, Particles, Medical research, Biomedical optics, Cancer, Information technology, Scattering, Particle systems, CMOS technology, CMOS sensors

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Proceedings Article | 10 October 2020 Poster + Paper

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

Chao Liu, Qiao Liu, Xuantao Su

Proceedings Volume 11553, 115532J (2020) https://doi.org/10.1117/12.2575099

KEYWORDS: Light scattering, Flow cytometry, CMOS technology, CMOS sensors, Sensors

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Proceedings Article | 20 November 2019 Paper

Label-free light scattering microfluidic cytometry using dual-channel 3D hydrodynamic focusing

Shuyu Zhang, Meiai Lin, Xuantao Su

Proceedings Volume 11190, 111902A (2019) https://doi.org/10.1117/12.2537425

KEYWORDS: Microfluidics, Light scattering, 3D metrology, Flow cytometry, Luminescence, Particles, Objectives, CMOS technology, CMOS sensors, Sensors

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Proceedings Article | 20 November 2019 Paper

Automatic detection of leukemia cells by 2D light scattering microfluidic cytometry and deep learning

Jing Sun, Lan Wang, Qiao Liu, Xuantao Su

Proceedings Volume 11190, 111901T (2019) https://doi.org/10.1117/12.2537094

KEYWORDS: Leukemia, Light scattering, Microfluidics, Lymphatic system, Tumors, Fluorescence spectroscopy, Luminescence, Convolutional neural networks

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Proceedings Article | 17 May 2019 Paper

Label-free analysis of senescent cells by light sheet microfluidic cytometry with a disposable hydrodynamic focusing unit

Meiai Lin, Shuyu Zhang, Qiao Liu, Changshun Shao, Xuantao Su

Proceedings Volume 11170, 1117043 (2019) https://doi.org/10.1117/12.2534145

KEYWORDS: Microfluidics, Light scattering, Tumors, Particles, Scatter measurement, Mie scattering, Scattering, Microfabrication

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Proceedings Article | 31 October 2016 Paper

2D light scattering label-free cytometry using light-sheet illumination

Meiai Lin, Xuantao Su

Proceedings Volume 10024, 100243I (2016) https://doi.org/10.1117/12.2246158

KEYWORDS: Light scattering, Biological research, Microscopes, Yeast, Mie scattering, Objectives, Calibration, CMOS sensors, Microfluidics, Glasses

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Proceedings Article | 31 October 2016 Paper

Development of wide-angle 2D light scattering static cytometry

Linyan Xie, Qiao Liu, Changshun Shao, Xuantao Su

Proceedings Volume 10024, 100243N (2016) https://doi.org/10.1117/12.2246168

KEYWORDS: Mie scattering, Particles, Leukemia, Scatter measurement, Optical testing, Microscopes, Light scattering, Biological research, Flow cytometry, Optical fibers

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Proceedings Article | 2 March 2015 Paper

Label-free analysis of single and multiple cells with a 2D light scattering static cytometer

Shanshan Liu, Linyan Xie, Yan Yang, Xu Qiao, Kun Song, Beihua Kong, Xuantao Su

Proceedings Volume 9328, 93281B (2015) https://doi.org/10.1117/12.2080519

KEYWORDS: Light scattering, Yeast, Mie scattering, Speckle pattern, Biological research, CMOS sensors, Diagnostics, Fiber coupled lasers, Optical testing, Finite-difference time-domain method

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Proceedings Article | 24 October 2012 Paper

Speckle analysis of single cell light scattering patterns for cell classification

Xuming Sun, Xu Qiao, Kun Song, Beihua Kong, Xuantao Su

Proceedings Volume 8412, 841207 (2012) https://doi.org/10.1117/12.2001237

KEYWORDS: Light scattering, Speckle pattern, Speckle analysis, Finite-difference time-domain method, Cancer, Image classification, Fiber coupled lasers, Refractive index, Laser scattering, Blood circulation

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Proceedings Article | 24 October 2012 Paper

Development of a new method for cervical cancer cells determination using light scattering spectrum

Yan Yang, Rongfeng Jia, Qiyong Sun, Kun Song, Beihua Kong, Xuantao Su

Proceedings Volume 8412, 841205 (2012) https://doi.org/10.1117/12.2001241

KEYWORDS: Light scattering, Cervical cancer, Mie scattering, Yeast, Scattering, Microscopes, Refractive index, Laser scattering, Cancer, CMOS sensors

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SPIE Journal Paper | 1 June 2011 Open Access

Label-free and noninvasive optical detection of the distribution of nanometer-size mitochondria in single cells

Xuantao Su, Manisha Gupta, Clarence Capjack, Ying Tsui, Yuanyuan Qiu, Leah Marquez-Curtis, Anna Janowska-Wieczorek, Wojciech Rozmus

JBO, Vol. 16, Issue 06, 067003, (June 2011) https://doi.org/10.1117/12.10.1117/1.3583577

KEYWORDS: Light scattering, Microfluidics, Confocal microscopy, Finite-difference time-domain method, Luminescence, Biomedical optics, Blood, Laser scattering, CCD image sensors, Refractive index

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Proceedings Article | 26 February 2010 Paper

A fiber-coupled microfluidic cytometer for the obtaining of nanostructural mitochondria information in single cells

Xuantao Su, Wojciech Rozmus, Ying Tsui

Proceedings Volume 7573, 75730K (2010) https://doi.org/10.1117/12.841179

KEYWORDS: Finite-difference time-domain method, Microfluidics, Light scattering, Charge-coupled devices, Biological research, Magnetism, Luminescence, CCD image sensors, Refractive index, Microscopes

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Proceedings Article | 5 August 2009 Paper

Development of an optomicrofluidic flow cytometer for the sorting of stem cells from blood samples

Md. Islam, Xuantao Su, Sean Kirkwood, Kirat Singh, James McMullin, Wojciech Rozmus, Anna Janowska-Wieczorek, Ying Tsui

Proceedings Volume 7386, 73860C (2009) https://doi.org/10.1117/12.839802

KEYWORDS: Stem cells, Microfluidics, Light scattering, Blood, Optical fibers, Signal detection, Polymers, Glasses, Photodiodes, Luminescence

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Proceedings Article | 4 August 2009 Paper

Light scattering characterization of single biological cells in a microfluidic cytometer

Xuantao Su, Sean Kirkwood, Hilal Gul, Kirat Singh, Md. Islam, Anna Janowska-Wieczorek, Wojciech Rozmus, Ying Tsui

Proceedings Volume 7386, 738602 (2009) https://doi.org/10.1117/12.837064

KEYWORDS: Light scattering, Microfluidics, Yeast, Finite-difference time-domain method, Mie scattering, Refractive index, Charge-coupled devices, CCD image sensors, Sensors, Biological research

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Proceedings Article | 24 February 2009 Paper

Computational analysis of mitochondrial placement and aggregation effects on wide-angle cell scattering patterns

Patrick Pilarski, Xuan-Tao Su, D. Moira Glerum, Christopher Backhouse

Proceedings Volume 7187, 71870J (2009) https://doi.org/10.1117/12.809730

KEYWORDS: Scattering, Light scattering, Feature selection, Data modeling, Image analysis, Image classification, Biological research, Biomedical optics, Pattern recognition, Computer simulations

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SPIE Journal Paper | 1 March 2008 Open Access

Measurements of light scattering in an integrated microfluidic waveguide cytometer

Xuan-Tao Su, Kirat Singh, Clarence Capjack, Jiri Petracek, Christopher Backhouse, Wojciech Rozmus

JBO, Vol. 13, Issue 02, 024024, (March 2008) https://doi.org/10.1117/12.10.1117/1.2909670

KEYWORDS: Light scattering, Waveguides, Charge-coupled devices, Microfluidics, Mie scattering, Scatter measurement, Optical testing, Scattering, Fourier transforms, Glasses

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Proceedings Article | 15 February 2007 Paper

Side scatter light for micro-size differentiation and cellular analysis

Xuan-Tao Su, Wojciech Rozmus, Clarence Capjack, Christopher Backhouse

Proceedings Volume 6446, 64460W (2007) https://doi.org/10.1117/12.701549

KEYWORDS: Light scattering, Refractive index, Blood, Mie scattering, Waveguides, Charge-coupled devices, Microfluidics, Finite-difference time-domain method, Fourier transforms, Epoxies

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