I3 Group I3 Group Intelligence · Imaging · Integration

Publications

A list of publications in computational imaging, adaptive optics, microscopy, inverse problems, and optical and X-ray metrology & inspection.

† Co-corresponding author * Co-first author

At KAIST

2026
Adaptive optical correction for in vivo two-photon fluorescence microscopy with neural fields

Adaptive optical correction for in vivo two-photon fluorescence microscopy with neural fields

Kang I$^\dagger$, Kim H, Natan R, Zhang Q, Yu SX, Ji N$^\dagger$
Nature Methods Adaptive Optics Microscopy Machine Learning
13 Apr 2026
Paper → Code →

Before KAIST

2026
In vivo aberration measurement and correction for ultrafast FACED two-photon fluorescence microscopy of the brain

In vivo aberration measurement and correction for ultrafast FACED two-photon fluorescence microscopy of the brain

Zhu J, Natan R, Zhong J, Kang I, Ji N
bioRxiv
Under review
Paper →
2025
Parallel frequency-multiplexed aberration measurement for widefield fluorescence microscopy

Parallel frequency-multiplexed aberration measurement for widefield fluorescence microscopy

Kim H, Kang I, Natan R, Ji N
bioRxiv
Under review
Paper →
Optical segmentation-based compressed readout of neuronal voltage dynamics

Optical segmentation-based compressed readout of neuronal voltage dynamics

Kim S, Yoon J, Ko G, Kang I, Tian H, Fan LZ, Li Y, Cohen AE, Wu J, Dai Q, Choi MM
Nature Communications Optical Engineering Microscopy
05 August 2025
Paper →
Coordinate-based neural representations for computational adaptive optics in widefield microscopy

Coordinate-based neural representations for computational adaptive optics in widefield microscopy

Kang I$^\dagger$, Zhang Q$^\dagger$, Yu SX, Ji N
Nature Machine Intelligence Adaptive Optics Microscopy Machine Learning
24 June 2025
Paper → Code →
2023
Accelerated deep self-supervised ptycho-laminography for three-dimensional nanoscale imaging of integrated circuits

Accelerated deep self-supervised ptycho-laminography for three-dimensional nanoscale imaging of integrated circuits

Kang I, Jiang Y, Holler M, Guizar-Sicairos M, Levi AFJ, Klug J, Vogt S, Barbastathis G
Optica Metrology and Inspection 3D Reconstruction Machine Learning
26 July 2023
Paper → Code →
Attentional Ptycho-Tomography (APT) for three-dimensional nanoscale X-ray imaging with minimal data acquisition and computation time

Attentional Ptycho-Tomography (APT) for three-dimensional nanoscale X-ray imaging with minimal data acquisition and computation time

Kang I$^*$, Wu Z$^*$, Jiang Y, Yao Y, Deng J, Klug J, Vogt S, Barbastathis G
Light Science and Applications Metrology and Inspection 3D Reconstruction Machine Learning
30 May 2023
Paper → Code →
Three-dimensional nanoscale reduced-angle ptycho-tomographic imaging with deep learning (RAPID)

Three-dimensional nanoscale reduced-angle ptycho-tomographic imaging with deep learning (RAPID)

Wu Z$^*$, Kang I$^*$, Yao Y, Jiang Y, Deng J, Klug J, Vogt S, Barbastathis G
eLight Metrology and Inspection 3D Reconstruction Machine Learning
03 April 2023
Paper →
2022
Simultaneous spectral recovery and CMOS micro-LED holography with an untrained deep neural network

Simultaneous spectral recovery and CMOS micro-LED holography with an untrained deep neural network

Kang I$^*$, de Cea M$^*$, Xue J, Li Z, Barbastathis G, Ram R
Optica Holography Machine Learning
11 October 2022
Paper → Code →
2021
Dynamical machine learning volumetric reconstruction of objects’ interiors from limited angular views

Dynamical machine learning volumetric reconstruction of objects’ interiors from limited angular views

Kang I, Goy A, Barbastathis G
Light Science and Applications Holography 3D Reconstruction Machine Leaning
07 April 2021
Paper → Code →
Recurrent neural network reveals transparent objects through scattering media

Recurrent neural network reveals transparent objects through scattering media

Kang I, Pang S, Zhang Q, Fang N, Barbastathis G
Optics Express Scattering Machine Learning
04 February 2021
Paper →
2020
Deep residual learning for low-order wavefront sensing in high-contrast imaging systems

Deep residual learning for low-order wavefront sensing in high-contrast imaging systems

Allan G$^*$, Kang I$^*$, Douglas E, Barbastathis G, Cahoy K
Optics Express Machine Learning
21 August 2020
Paper → Code →
On the interplay between physical and content priors in deep learning for computational imaging

On the interplay between physical and content priors in deep learning for computational imaging

Deng M, Li S, Zhang Z, Kang I, Fang N, Barbastathis G
Optics Express Holography Machine Learning
31 July 2020
Paper →
Phase Extraction Neural Network (PhENN) with Coherent Modulation Imaging (CMI) for phase retrieval at low photon counts

Phase Extraction Neural Network (PhENN) with Coherent Modulation Imaging (CMI) for phase retrieval at low photon counts

Kang I, Zhang F, Barbastathis G
Optics Express Holography Machine Learning
07 July 2020
Paper →
Learning to synthesize: Robust phase retrieval at low photon counts

Learning to synthesize: Robust phase retrieval at low photon counts

Deng M, Li S, Goy A, Kang I, Barbastathis G
Light Science and Applications Holography Machine Learning
09 March 2020
Paper →