Dr. Iksung Kang Profile

Dr. Iksung Kang

SPIE Involvement:

Author

Publications (5)

Proceedings Article | 12 March 2024 Presentation + Paper

Coordinate-based neural representations for computational adaptive optics in two-photon microscopy

Iksung Kang, Qinrong Zhang, Courtney Yaeger, Trang Pham, Stella Yu, Mark Harnett, Na Ji

Proceedings Volume 12851, 1285103 (2024) https://doi.org/10.1117/12.3008468

KEYWORDS: Adaptive optics, Two photon excitation microscopy, In vivo imaging, Optical aberrations, Brain, Biological imaging, Wavefront aberrations, Neuroimaging, Eye, Biological samples

Read Abstract +

Proceedings Article | 16 March 2023 Poster + Paper

Deep self-supervised learning for computational adaptive optics in widefield microscopy

Iksung Kang, Qinrong Zhang, Na Ji

Proceedings Volume 12388, 123880H (2023) https://doi.org/10.1117/12.2658934

KEYWORDS: Adaptive optics, Microscopy, Deep learning, 3D image processing, Wavefront aberrations, Optical aberrations, Machine learning, Education and training, Biological imaging, Organisms

Read Abstract +

Proceedings Article | 8 March 2023 Presentation + Paper

On the use of deep learning for three-dimensional computational imaging

George Barbastathis, Subeen Pang, Iksung Kang, Ziling Wu, Zhiguang Liu, Zhen Guo, Fucai Zhang

Proceedings Volume 12445, 124450J (2023) https://doi.org/10.1117/12.2655261

KEYWORDS: Scattering, Machine learning, Diffraction, Light sources and illumination, Dielectrics, Reconstruction algorithms, 3D modeling, Signal attenuation, Radon transform, Spatial frequencies

Read Abstract +

Proceedings Article | 5 March 2021 Presentation + Paper

Probability of error as an image metric for the assessment of tomographic reconstruction of dense-layered binary-phase objects

Iksung Kang, George Barbastathis

Proceedings Volume 11653, 116530T (2021) https://doi.org/10.1117/12.2577264

KEYWORDS: Tomography, Diffraction, Scattering, Reconstruction algorithms, Photons, Convolutional neural networks, Binary data

Read Abstract +

Proceedings Article | 13 December 2020 Poster + Presentation + Paper

Deep neural networks to improve the dynamic range of Zernike phase-contrast wavefront sensing in high-contrast imaging systems

Gregory Allan, Iksung Kang, Ewan Douglas, Mamadou N'Diaye, George Barbastathis, Kerri Cahoy

Proceedings Volume 11443, 1144349 (2020) https://doi.org/10.1117/12.2562927

KEYWORDS: Wavefront sensors, Neural networks, Imaging systems, Coronagraphy, Telescopes, Infrared telescopes, Wavefronts, Exoplanets, Stars, Optical aberrations

Read Abstract +

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Keywords/Phrases

Search In:

Publication Years