250 citations · 2.3k across the 66 of their papers we have counts for
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Deep learning approach to coherent noise reduction in optical diffraction tomography
Gunho Choi, Donghun Ryu, Youngju Jo +4
We present a deep neural network to reduce coherent noise in three-dimensional quantitative phase imaging. Inspired by the cycle generative adversarial network, the denoising netwo…
Reference-free polarization-sensitive quantitative phase imaging using singe-point optical phase conjugation
Seungwoo Shin, Kyeoreh Lee, Zahid Yaqoob +2
We propose and experimentally demonstrate a method of polarization-sensitive quantitative phase imaging using two photo detectors. Instead of recording wide-field interference patt…
Low-coherent optical diffraction tomography by angle-scanning illumination
KyeoReh Lee, Seungwoo Shin, Zahid Yaqoob +2
We propose and experimentally demonstrate temporally low-coherent optical diffraction tomography (ODT) based on angle-scanning Mach-Zehnder interferometry. Using a digital micromir…
Quantitative Phase Imaging and Artificial Intelligence: A Review
YoungJu Jo, Hyungjoo Cho, Sang Yun Lee +4
Recent advances in quantitative phase imaging (QPI) and artificial intelligence (AI) have opened up the possibility of an exciting frontier. The fast and label-free nature of QPI e…
Generalized quantification of three-dimensional resolution in optical diffraction tomography using the projection of maximal spatial bandwidths
Chansuk Park, Seungwoo Shin, Yongkeun Park
Optical diffraction tomography (ODT) is a three-dimensional (3D) quantitative phase imaging technique, which enables the reconstruction of the 3D refractive index (RI) distribution…
Optical measurements of three-dimensional microscopic temperature distributions around gold nanorods excited by surface plasmonics
JunTaek Oh, Gu-Haeng Lee, Jinsung Noh +4
The measurement and control of the temperature in microscopic systems, which are increasingly required in diverse applications, are fundamentally important. Yet, the measurement of…