12 citations · 14 across the 4 of their papers we have counts for
5 papers
YOSO: single-frame Gerchberg-Saxton phase retrieval with AI-based data augmentation for in-line holography
Julianna Winnik, Adam Walocha, Wojciech Ogonowski +9
We present YOSO (You Only Shot Once), a single-frame phase retrieval framework for digital in-line holographic microscopy (DIHM) in which supervised deep learning is used to numeri…
Gigavoxel-Scale Multiple-Scattering-Aware Lensless Holotomography
Mikolaj Rogalski, Julianna Winnik, Julia Dudek +6
Holotomography (HT) has revolutionized quantitative label-free 3D imaging, yet conventional lens-based implementations are fundamentally constrained in field-of-view (FOV) and imag…
Fourier ptychographic microscopy aided with transport of intensity equation for robust full phase spectrum reconstruction
Mikołaj Rogalski, Juan Martinez-Carranza, Bartosz Górski +8
Fourier ptychographic microscopy (FPM) is a pivotal computational imaging technique that achieves phase and amplitude reconstruction with high resolution and wide field of view, us…
Gradient Optical Diffraction Tomography
Julianna Winnik, Piotr Zdankowski, Marzena Stefaniuk +4
Optical diffraction tomography (ODT) enables non-invasive information-rich 3D refractive index (RI) reconstruction of unimpaired transparent biological and technical samples, cruci…
Experimental optimization of lensless digital holographic microscopy with rotating diffuser-based coherent noise reduction
Piotr Arcab, Bartosz Mirecki, Marzena Stefaniuk +2
Laser-based lensless digital holographic microscopy (LDHM) is often spoiled by considerable coherent noise factor. We propose a novel LDHM method with significantly limited coheren…