Accès ouvert
2026
article
OpenAlex
Mikołaj Rogalski, Julianna Winnik, Julia Dudek, Piotr Arcab et autres
Abstract Holotomography (HT) has revolutionized quantitative label-free 3D imaging, yet conventional lens-based implementations are fundamentally constrained in field-of-view (FOV) and imaging depth, limiting their utility for critical high-throughput applications in material and life sciences. Lensless HT (LHT) offers a promising alternative for …
pl
(code pays fourni par la source)
2026
article
OpenAlex
Nauman Ali, Wenjian Wang, Julianna Winnik, Zihan Xiong et autres
Accès ouvert
2026
article
OpenAlex
Julianna Winnik, Adam Walocha, Wojciech Ogonowski, Wiktor Forjasz et autres
Abstract 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 numerically generate an additional hologram corresponding to different defocus distance, creating a so-called multi-height dataset, …
pl, bg, es, de
(code pays fourni par la source)
Accès ouvert
2026
preprint
OpenAlex
Maciej Trusiak, Piotr Arcab, Mikolaj Rogalski, Karolina Niedziela et autres
pl
(code pays fourni par la source)
2026
conference-abstract
OpenAlex
Piotr Zdańkowski, Julianna Winnik, Maciej Trusiak, Damian Suski
Quantitative phase imaging (QPI) benefits from compact, stable interferometric architectures that remain robust outside vibration-isolated laboratories. Here, we present an incoherent, common-path shearing interferometry approach paired with an optimization-based phase recovery that improves quantitative accuracy while simplifying system calibration. The system is …
pl
(code pays fourni par la source)
Accès ouvert
2026
preprint
OpenAlex
Julianna Winnik, Adam Walocha, Wojciech Ogonowski, Wiktor Forjasz et autres
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 numerically generate an additional hologram corresponding to different defocus distance, creating a so-called multi-height dataset, which …
pl, es
(code pays fourni par la source)
Accès ouvert
2026
dataset
OpenAlex
Julianna Winnik, Adam Walocha, Wojciech Ogonowski, Wiktor Forjasz et autres
This dataset contains in-line holograms: stinkbug.h – simulated in-line hologram of a phase sample given by a stinkbug.jpg distribution from matplotlib.image (z = 3.56 mm, Δ = 2.4 μm, λ = 0.561 μm) phase_test.h – hologram of a phase test target captured …
pl, es
(code pays fourni par la source)
Accès ouvert
2026
dataset
OpenAlex
Julianna Winnik, Adam Walocha, Wojciech Ogonowski, Wiktor Forjasz et autres
This dataset contains in-line holograms: stinkbug.h – simulated in-line hologram of a phase sample given by a stinkbug.jpg distribution from matplotlib.image (z = 3.56 mm, Δ = 2.4 μm, λ = 0.561 μm) phase_test.h – hologram of a phase test target captured …
pl, es
(code pays fourni par la source)
2026
conference-paper
OpenAlex
Damian Suski, Maria Cywińska, Julianna Winnik, Michał Józwik et autres
2026
conference-paper
OpenAlex
Damian Suski, Maria Cywińska, Julianna Winnik, Michał Józwik et autres
2026
conference-paper
OpenAlex
Wiktor Forjasz, Julianna Winnik, Wojciech Ogonowski, Michał Józwik et autres
Accès ouvert
2026
dataset
OpenAlex
Mikołaj Rogalski, Julianna Winnik, Julia Dudek, Piotr Arcab et autres
Dataset (MATLAB files) of holograms used in: Mikołaj Rogalski, Julianna Winnik, Julia Dudek, Piotr Arcab, Emilia Wdowiak, Paweł Matryba, Marzena Stefaniuk, Piotr Zdańkowski, Maciej Trusiak,“Gigavoxel‑Scale Multiple‑Scattering‑Aware Lensless Holotomography”, submitted 2025. [2508.00567] Gigavoxel-Scale Multiple-Scattering-Aware Lensless Holotomography Contents For each of the four samples …
pl
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