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Gongpu Lan

Showing results (1-10 of 27) with videos related to

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Scientific Reports|March 8, 2017
Design of a k-space spectrometer for ultra-broad waveband spectral domain optical coherence tomographyGongpu Lan, Guoqiang Li
Optics Express|March 17, 2019
Theory and design of Schwarzschild scan objective for Optical Coherence TomographyGongpu Lan, Michael D Twa
Biomedical Optics Express|September 30, 2015
Design of high-performance adaptive objective lens with large optical depth scanning range for ultrabroad near infrared microscopic imagingGongpu Lan, Thomas F Mauger, Guoqiang Li
Biomedical Optics Express|July 9, 2020
Characterization of natural frequencies from nanoscale tissue oscillations using dynamic optical coherence elastographyGongpu Lan, Kirill V Larin, Salavat Aglyamov, et al.
Translational Vision Science & Technology|August 22, 2020
Clinical Corneal Optical Coherence Elastography Measurement Precision: Effect of Heartbeat and RespirationGongpu Lan, Boyu Gu, Kirill V Larin, et al.
Biomedical Optics Express|December 1, 2017
Common-path phase-sensitive optical coherence tomography provides enhanced phase stability and detection sensitivity for dynamic elastographyGongpu Lan, Manmohan Singh, Kirill V Larin, et al.
Journal of Biomechanics|April 19, 2021
In vivo human corneal natural frequency quantification using dynamic optical coherence elastography: Repeatability and reproducibilityGongpu Lan, Salavat Aglyamov, Kirill V Larin, et al.
Biomedical Optics Express|February 16, 2013
High-resolution 1050 nm spectral domain retinal optical coherence tomography at 120 kHz A-scan rate with 6.1 mm imaging depthLin An, Peng Li, Gongpu Lan, et al.
Optometry and Vision Science : Official Publication of the American Academy of Optometry|January 4, 2021
In Vivo Human Corneal Shear-wave Optical Coherence ElastographyGongpu Lan, Salavat R Aglyamov, Kirill V Larin, et al.
Sensors (Basel, Switzerland)|April 12, 2025
Edge_MVSFormer: Edge-Aware Multi-View Stereo Plant Reconstruction Based on Transformer NetworksYang Cheng, Zhen Liu, Gongpu Lan, et al.
Pageof 3

Showing results (1-10 of 27) with videos related to

Sort By:
Pageof 3
Scientific Reports|March 8, 2017
Design of a k-space spectrometer for ultra-broad waveband spectral domain optical coherence tomographyGongpu Lan, Guoqiang Li
Optics Express|March 17, 2019
Theory and design of Schwarzschild scan objective for Optical Coherence TomographyGongpu Lan, Michael D Twa
Biomedical Optics Express|September 30, 2015
Design of high-performance adaptive objective lens with large optical depth scanning range for ultrabroad near infrared microscopic imagingGongpu Lan, Thomas F Mauger, Guoqiang Li
Biomedical Optics Express|July 9, 2020
Characterization of natural frequencies from nanoscale tissue oscillations using dynamic optical coherence elastographyGongpu Lan, Kirill V Larin, Salavat Aglyamov, et al.
Translational Vision Science & Technology|August 22, 2020
Clinical Corneal Optical Coherence Elastography Measurement Precision: Effect of Heartbeat and RespirationGongpu Lan, Boyu Gu, Kirill V Larin, et al.
Biomedical Optics Express|December 1, 2017
Common-path phase-sensitive optical coherence tomography provides enhanced phase stability and detection sensitivity for dynamic elastographyGongpu Lan, Manmohan Singh, Kirill V Larin, et al.
Journal of Biomechanics|April 19, 2021
In vivo human corneal natural frequency quantification using dynamic optical coherence elastography: Repeatability and reproducibilityGongpu Lan, Salavat Aglyamov, Kirill V Larin, et al.
Biomedical Optics Express|February 16, 2013
High-resolution 1050 nm spectral domain retinal optical coherence tomography at 120 kHz A-scan rate with 6.1 mm imaging depthLin An, Peng Li, Gongpu Lan, et al.
Optometry and Vision Science : Official Publication of the American Academy of Optometry|January 4, 2021
In Vivo Human Corneal Shear-wave Optical Coherence ElastographyGongpu Lan, Salavat R Aglyamov, Kirill V Larin, et al.
Sensors (Basel, Switzerland)|April 12, 2025
Edge_MVSFormer: Edge-Aware Multi-View Stereo Plant Reconstruction Based on Transformer NetworksYang Cheng, Zhen Liu, Gongpu Lan, et al.
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