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20222026
most citedTailoring 2D Fast Iterative Filtering algorithm for low-contrast optical fringe pattern preprocessing

12 citations · 15 across the 10 of their papers we have counts for

collaborators

10 papers

physics.optics2026

Near-infrared lensless holographic microscopy on a visible sensor enables label-free high-throughput imaging in strong scattering

Emilia Wdowiak, Piotr Arcab, Mikolaj Rogalski +6

Lensless digital holographic microscopy (LDHM) relies on interference between an unscattered reference wave and a weakly scattered object wave - an assumption that rapidly fails in…

physics.optics2026★ 2 cited

The mixture of glycerin with tartrazine: a solution to reversibly increase tissue transparency for in vitro quantitative phase imaging

Mikolaj Krysa, Anna Chwastowicz, Malgorzata Lenarcik +3

Thick tissue sections strongly scatter and absorb light, which limits transmission-based label-free examination via quantitative phase imaging (QPI) modalities. Here we introduce a…

physics.optics2026

Lateral shearing optical diffraction tomography of brain organoid with reduced spatial coherence

Pawel Goclowski, Julianna Winnik, Vishesh Dubey +6

Optical diffraction tomography (ODT) is a powerful technique for quantitative, label-free reconstruction of the three-dimensional refractive index (RI) distribution of biological s…

physics.med-ph2025

High Space-bandwidth Product Label-free Examination of iPSC-derived Brain Organoids via Fourier Ptychographic Microscopy

Mikolaj Krysa, Mikolaj Rogalski, Piotr Arcab +7

Fourier ptychographic microscopy (FPM) is a promising quantitative phase imaging technique that enables high-resolution, label-free imaging over a large field-of-view. Here, we pre…

physics.optics2025

Low-dose Chemically Specific Bioimaging via Deep-UV Lensless Holographic Microscopy on a Standard Camera

Piotr Arcab, Mikolaj Rogalski, Karolina Niedziela +11

Deep-ultraviolet (DUV) microscopy can provide label-free biochemical contrast by exploiting the intrinsic absorption of nucleic acids, proteins and lipids, offering chemically spec…

physics.optics2025

Bayesian inference for precise and uncertainty-quantified single-shot widefield interferometric geometrical nanometrology

Damian Suski, Maria Cywinska, Julianna Winnik +5

Advanced geometrical nanometrology is critical for process control in semiconductor manufacturing, supporting applications in, e.g., photonic integrated circuits, nanoelectronics,…

physics.optics2025

Gigavoxel-Scale Multiple-Scattering-Aware Lensless Holotomography

Mikolaj Rogalski, Julianna Winnik, Julia Dudek +6

Holotomography (HT) has revolutionized quantitative label-free 3D imaging, yet conventional lens-based implementations are fundamentally constrained in field-of-view (FOV) and imag…

physics.optics2024★ 1 cited

Gradient Optical Diffraction Tomography

Julianna Winnik, Piotr Zdankowski, Marzena Stefaniuk +4

Optical diffraction tomography (ODT) enables non-invasive information-rich 3D refractive index (RI) reconstruction of unimpaired transparent biological and technical samples, cruci…

q-bio.QM2023

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…

physics.optics2022★ 12 cited

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…