Prof. Ke Si Profile

Prof. Ke Si

Professor at Zhejiang Univ

SPIE Involvement:

Conference Program Committee | Author

Publications (7)

Proceedings Article | 18 December 2023 Paper

High-resolution focus-tunable one-photon miniaturized fluorescence microscope for imaging in freely moving animals

Xiaoyu Liu, Zenan Wu, Junnan Xu, Wei Gong, Ke Si

Proceedings Volume 12963, 129631Z (2023) https://doi.org/10.1117/12.3007740

KEYWORDS: Miniature imaging systems, Neurons, Animals, Brain, Fluorescence, Image resolution, Calcium, Biological imaging, Neuroimaging, Miniaturization, Microscopes

Read Abstract +

Proceedings Article | 18 December 2023 Paper

Fast and lightweight network improves serial brain section stitching

Lianchao Wang, Jiajia Chen, Wei Gong, Ke Si

Proceedings Volume 12963, 129631V (2023) https://doi.org/10.1117/12.3005396

KEYWORDS: Deep learning, 3D image reconstruction, Brain, Neuroimaging, 3D image processing, Image restoration, Neurons, Biological imaging, Image registration

Read Abstract +

Proceedings Article | 15 December 2022 Paper

Multichannel fiber-based simultaneous neural stimulation and signal readout in vivo

Yue Zhu, Ke Si, Wei Gong

Proceedings Volume 12478, 124780W (2022) https://doi.org/10.1117/12.2651649

KEYWORDS: Brain, Optogenetics, Optical fibers, Photometry, In vivo imaging, Neuroimaging, Calcium, Objectives

Read Abstract +

Proceedings Article | 2 July 2019 Open Access

Optics education for multidisciplinary students: how to focus on the relationship between optical technology and human civilization in group discussion

Xiaotong Li, Qing Yang, Ke Si, Kaiwei Wang

Proceedings Volume 11143, 1114324 (2019) https://doi.org/10.1117/12.2523858

KEYWORDS: Optics education, Interdisciplinary fields, Scientific research, Engineering education, Education and training

Read Abstract +

DOWNLOAD PAPER

Proceedings Article | 12 March 2019 Paper

Deep tissue focusing based on machine learning

Ke Si, Yiye Zhang, Yuncheng Jin, Lejia Hu, Wei Gong

Proceedings Volume 11023, 1102340 (2019) https://doi.org/10.1117/12.2518111

KEYWORDS: Adaptive optics, Machine learning, Spatial light modulators, Tissue optics, Speckle, Neuroscience, Wavefronts, Tissues, Wavefront aberrations, Model-based design

Read Abstract +