3 papers
eess.IV2020
Calibration-free quantitative phase imaging using data-driven aberration modeling
Taean Chang, Youngju Jo, Gunho Choi +3
We present a data-driven approach to compensate for optical aberration in calibration-free quantitative phase imaging (QPI). Unlike existing methods that require additional measure…
eess.IV2019
Computational Approach to Dark-Field Optical Diffraction Tomography
Taean Chang, Seungwoo Shin, Moosung Lee +1
The measurement of three-dimensional (3D) images and the analysis of subcellular organelles are crucial for the study of the pathophysiology of cells and tissues. Optical diffracti…
eess.IV2019
Deep learning-enabled image quality control in tomographic reconstruction: Robust optical diffraction tomography
Donghun Ryu, Youngju Jo, Jihyeong Yoo +6
In tomographic reconstruction, the image quality of the reconstructed images can be significantly degraded by defects in the measured two-dimensional (2D) raw image data. Despite t…