36 citations · 46 across the 3 of their papers we have counts for
4 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…
Hybrid iterating-averaging low photon budget Gabor holographic microscopy
Mikołaj Rogalski, Piotr Arcab, Emilia Wdowiak +4
One of the primary challenges in live cell culture observation is achieving high-contrast imaging with minimal impact on sample behavior. Quantitative phase imaging (QPI) technique…
Physics-driven universal twin-image removal network for digital in-line holographic microscopy
Mikołaj Rogalski, Piotr Arcab, Luiza Stanaszek +3
Digital in-line holographic microscopy (DIHM) enables efficient and cost-effective computational quantitative phase imaging with a large field of view, making it valuable for study…
Hilbert phase microscopy based on pseudo thermal illumination in Linnik configuration
Mikołaj Rogalski, Maria Cywińska, Azeem Ahmad +4
Quantitative phase microscopy (QPM) is often based on recording an object-reference interference pattern and its further phase demodulation. We propose Pseudo Hilbert Phase Microsc…