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Profil bibliographique

Julianna Winnik

Informations fournies par OpenAlex. Research Africa ne déduit ni nationalité, ni poste, ni coordonnées personnelles.

63Publications signalées
126Citations signalées
1Affiliations récentes

Les institutions déclarées

Les domaines associés

Digital Holography and MicroscopyOptical measurement and interference techniquesOptical Coherence Tomography ApplicationsAdvanced X-ray Imaging TechniquesImage Processing Techniques and Applications

Les publications récentes

Accès ouvert 2026 article OpenAlex

Gigavoxel-scale multiple-scattering-aware lensless holotomography

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)

1 citation Light Science & Applications
Accès ouvert 2026 article OpenAlex

YOSO: single-frame Gerchberg–Saxton phase retrieval with AI-based data augmentation for in-line holography

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)

0 citations Journal of Physics Photonics
2026 conference-abstract OpenAlex

Incoherent shearing interferometry with optimization-based phase recovery for robust quantitative phase imaging

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)

0 citations
Accès ouvert 2026 preprint OpenAlex

YOSO: single-frame Gerchberg-Saxton phase retrieval with AI-based data augmentation for in-line holography

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)

0 citations arXiv (Cornell University)
Accès ouvert 2026 dataset OpenAlex

YOSO dataset: in-line holograms from experiments and simulation, and trained models for YOSO reconstruction

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)

0 citations Zenodo (CERN European Organization for Nuclear Research)
Accès ouvert 2026 dataset OpenAlex

YOSO dataset: in-line holograms from experiments and simulation, and trained models for YOSO reconstruction

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)

0 citations Zenodo (CERN European Organization for Nuclear Research)
Accès ouvert 2026 dataset OpenAlex

Gigavoxel-Scale Multiple-Scattering-Aware Lensless Holotomography - Dataset

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 (code pays fourni par la source)

0 citations Zenodo (CERN European Organization for Nuclear Research)

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