Ms. Xiaotong Yuan Profile

Xiaotong Yuan

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Publications (5)

Proceedings Article | 25 April 2023 Presentation + Paper

3D time resolved multiphoton fluorescence lifetime imaging microscopy of nano-crystalline agricultural treatments on living plant tissue

Xiaotong Yuan, Varun Mannam, Scott Howard

Proceedings Volume 12384, 123840A (2023) https://doi.org/10.1117/12.2650736

KEYWORDS: Tissues, Agriculture, Fluorescence lifetime imaging, 3D image processing, Biological imaging, Biological samples, Multiphoton fluorescence microscopy, Fluorescence imaging, Proteins, Molecular imaging

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Proceedings Article | 4 March 2022 Presentation + Paper

Deconvolution of fluorescence lifetime imaging microscopy (FLIM)

Varun Mannam, Xiaotong Yuan, Scott Howard

Proceedings Volume 11965, 1196508 (2022) https://doi.org/10.1117/12.2608910

KEYWORDS: Fluorescence lifetime imaging, Deconvolution, Microscopy, Luminescence, Convolution, Point spread functions, Multiphoton microscopy, Multiphoton fluorescence microscopy, Image processing, Distortion

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Proceedings Article | 5 March 2021 Presentation + Paper

Overcoming the fundamental limitation of frequency-domain fluorescence lifetime imaging microscopy spatial resolution

Xiaotong Yuan, Varun Mannam, Yide Zhang, Scott Howard

Proceedings Volume 11650, 116500M (2021) https://doi.org/10.1117/12.2577284

KEYWORDS: Fluorescence lifetime imaging, Microscopy, Super resolution, Spatial resolution, Luminescence, Stimulated emission depletion microscopy, Super resolution microscopy, Physics, Optical communications, Numerical simulations

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Proceedings Article | 5 March 2021 Poster + Presentation + Paper

Convolutional neural network denoising in fluorescence lifetime imaging microscopy (FLIM)

Varun Mannam, Yide Zhang, Xiaotong Yuan, Takashi Hato, Pierre Dagher, Evan Nichols, Cody Smith, Kenneth Dunn, Scott Howard

Proceedings Volume 11648, 116481C (2021) https://doi.org/10.1117/12.2578574

KEYWORDS: Fluorescence lifetime imaging, Image segmentation, Microscopy, Denoising, In vivo imaging, Luminescence, Convolutional neural networks, Signal to noise ratio, Imaging systems, Signal processing

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Proceedings Article | 5 March 2021 Presentation + Paper

Deep learning-based super-resolution fluorescence microscopy on small datasets

Varun Mannam, Yide Zhang, Xiaotong Yuan, Scott Howard

Proceedings Volume 11650, 116500O (2021) https://doi.org/10.1117/12.2578519

KEYWORDS: Super resolution, Microscopy, Luminescence, Organisms, Data modeling, X-rays, X-ray imaging, Visualization, Super resolution microscopy, Magnetic resonance imaging

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