36 citations · 118 across the 11 of their papers we have counts for
6 papers · 1 filter
DeepOrientation: convolutional neural network for fringe pattern orientation map estimation
Maria Cywinska, Mikolaj Rogalski, Filip Brzeski +2
Fringe pattern based measurement techniques are the state-of-the-art in full-field optical metrology. They are crucial both in macroscale, e.g., fringe projection profilometry, and…
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…
Single-shot experimental-numerical twin-image removal in lensless digital holographic microscopy
Piotr Arcab, Mikolaj Rogalski, Maciej Trusiak
Lensless digital holographic microscopy (LDHM) offers very large field-of-view label-free imaging crucial, e.g., in high-throughput particle tracking and biomedical examination of…
Versatile optimization-based speed-up method for autofocusing in digital holographic microscopy
Julianna Winnik, Damian Suski, Piotr Zdańkowski +3
We propose a speed-up method for the in-focus plane detection in digital holographic microscopy that can be applied to a broad class of autofocusing algorithms that involve repetit…
Low-intensity illumination for lensless digital holographic microscopy with minimized sample interaction
Bartosz Mirecki, Mikołaj Rogalski, Piotr Arcab +4
Exposure to laser light alters cell culture examination via optical microscopic imaging techniques, also based on label-free coherent digital holography. To mitigate this detriment…
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…