36 citations · 118 across the 11 of their papers we have counts for
11 papers
DeepBessel: deep learning-based full-field vibration profilometry using single-shot time-averaged interference microscopy
Maria Cywinska, Wiktor Forjasz, Emilia Wdowiak +4
Full-field vibration profilometry is essential for dynamic characterizing microelectromechanical systems (MEMS/MOEMS). Time-averaged interferometry (TAI) encodes spatial informatio…
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…
Quantitative phase imaging verification in large field-of-view lensless holographic microscopy via two-photon 3D printing
Emilia Wdowiak, Mikołaj Rogalski, Piotr Arcab +3
Large field-of-view (FOV) microscopic imaging with high lateral resolution (1-2 microns for high space-bandwidth product) plays a pivotal role in biomedicine and biophotonics, espe…
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…
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…
Tailoring 2D Fast Iterative Filtering algorithm for low-contrast optical fringe pattern preprocessing
Mikolaj Rogalski, Mateusz Pielach, Antonio Cicone +6
Retrieving object phase from the optical fringe pattern is a critical task in quantitative phase imaging and often requires appropriate image preprocessing (background and noise mi…