Publications

At KAIST (2026 - Present)

Co-corresponding author: $^\dagger$, co-first author: $^*$

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 MethodsAdaptive OpticsMicroscopyMachine Learning

13 Apr 2026

PaperCode

Before KAIST (- 2026)

Co-corresponding author: $^\dagger$, co-first author: $^*$

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

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

Kim S, Yoon J, Ko G, Kang I, Tian H, Fan LZ, Li Y, Cohen AE, Wu J, Dai Q, Choi MM

Nature CommunicationsOptical EngineeringMicroscopy

05 August 2025

Paper

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

Kang I$^\dagger$, Zhang Q$^\dagger$, Yu SX, Ji N

Nature Machine IntelligenceAdaptive OpticsMicroscopyMachine Learning

24 June 2025

PaperCode

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

OpticaMetrology and Inspection3D ReconstructionMachine Learning

26 July 2023

PaperCode

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 ApplicationsMetrology and Inspection3D ReconstructionMachine Learning

30 May 2023

PaperCode

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

eLightMetrology and Inspection3D ReconstructionMachine Learning

03 April 2023

Paper

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

OpticaHolographyMachine Learning

11 October 2022

PaperCode

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

Kang I, Goy A, Barbastathis G

Light Science and ApplicationsHolography3D ReconstructionMachine Leaning

07 April 2021

PaperCode

Recurrent neural network reveals transparent objects through scattering media

Kang I, Pang S, Zhang Q, Fang N, Barbastathis G

Optics ExpressScatteringMachine Learning

04 February 2021

Paper

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

Allan G$^*$, Kang I$^*$, Douglas E, Barbastathis G, Cahoy K

Optics ExpressMachine Learning

21 August 2020

PaperCode

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 ExpressHolographyMachine Learning

31 July 2020

Paper

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

Kang I, Zhang F, Barbastathis G

Optics ExpressHolographyMachine Learning

07 July 2020

Paper

Learning to synthesize: Robust phase retrieval at low photon counts

Deng M, Li S, Goy A, Kang I, Barbastathis G

Light Science and ApplicationsHolographyMachine Learning

09 March 2020

Paper