Ms. Maria Cywinska Profile

Maria Cywinska

Post-Doc at Warsaw University of Technology

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Publications (12)

Proceedings Article | 7 April 2024 Poster

Phase measurements in Linnik interferometer with physically and numerically minimized errors

Michal Józwik, Maria Cywinska, Mikolaj Rogalski, Emilia Wdowiak, Maciej Trusiak

Proceedings Volume 12997, 129971C (2024) https://doi.org/10.1117/12.3022198

KEYWORDS: Interferometers, Phase measurement, Principal component analysis, Phase shifting, Light sources, Ferroelectric materials, Transducers, Standards development, Simulations, Phase imaging

Proceedings Article | 13 March 2024 Poster

inPHASENet: convolutional neural network for high space-bandwidth product single-fringe-pattern phase imaging

Maria Cywińska, Krzysztof Patorski, Maciej Trusiak

Proceedings Volume PC12852, PC128521O (2024) https://doi.org/10.1117/12.3007913

KEYWORDS: Fringe analysis, Phase imaging, Convolutional neural networks, Phase distribution, Education and training, Phase shifts, Optical metrology, Neural networks, Fourier transforms, Error analysis

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Proceedings Article | 31 May 2023 Presentation + Paper

Deep variational Hilbert quantitative phase imaging

Maria Cywińska, Krzysztof Patorski, Maciej Trusiak

Proceedings Volume 12574, 125740N (2023) https://doi.org/10.1117/12.2665591

KEYWORDS: Fringe analysis, Phase imaging, Fourier transforms, Convolutional neural networks, Demodulation, Biological research, Neural networks, Interferograms, Holographic interferometry, Evolutionary algorithms

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Proceedings Article | 20 June 2021 Paper

Single-shot two-frame interference microscopy for robust quantitative phase imaging of fixed and dynamic samples

Maciej Trusiak, Jose Angel Picazo-Bueno, Mikołaj Rogalski, Maria Cywinska, Piotr Zdańkowski, Vicente Micó

Proceedings Volume 11786, 1178614 (2021) https://doi.org/10.1117/12.2595852

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Quantitative phase imaging, employing the refractive index as endogenous contrast agent, opens wide possibilities to perform high-contrast cell measurements enabling reliable diagnostics and assessable examination. This capability can be rather easily obtained in a common-path total-shear regime after introducing a grating or beam-splitter into a regular microscope layout with a (partially-)coherent light source. Although these solutions are attractive due to straightforward implementation, overall good stability (thanks to common-path configuration) and high contrast, they are limited in timespace- bandwidth product (TSBP) as multi-frame phase reconstruction is needed to ensure sufficient accuracy and robustness. Alternative single-shot Fourier transform based approaches do allow for dynamic imaging; however they need off-axis recording and thus limit detector bandwidth and can severely truncate object spectrum (phase lateral resolution), which stays virtually intact in the multi-frame approach. Additionally, low signal-to-noise ratio of recorded fringe pattern significantly adds to the error budget via low contrast, high noise and strong incoherent background. In this contribution we study an interesting way to bypass mentioned shortcomings by recording two out-of-phase interferograms simultaneously to subtract them and thus experimentally increase the signal-to-noise ratio of otherwise low-quality dimmed fringe patterns. Ideal subtraction should yield background-rejected and modulation-doubled π- hologram, however in reality additional processing is needed. We will investigate three algorithms for such processing. Filtered interferogram is then analyzed employing Hilbert spiral transform, which is not sensitive to the carrier frequency like the Fourier transform and preserves object spectrum also in quasi on-axis configurations. Finally, sacrificing the field of view to record two interferograms at once, we gain unique feature of significantly increased TSBP enabling realtime investigation of broad-spectrum (highly detailed) transparent objects with enhanced phase resolution and signal-tonoise ratio. We corroborate the claims successfully analyzing prostate cancer cells and flowing microbeads otherwise measurable only in static regime using time-consuming phase-shifting. The technique has been validated utilizing 20x/0.46NA objective in a regular Olympus BX-60 upright microscope.

Proceedings Article | 18 April 2021 Presentation + Paper

Fringe pattern background and amplitude modulation in DeepDensity: convolutional neural network for local fringe density map estimation

Maria Cywińska, Filip Brzeski, Wiktor Krajnik, Krzysztof Patorski, Maciej Trusiak

Proceedings Volume 11774, 117740R (2021) https://doi.org/10.1117/12.2589309

KEYWORDS: Fringe analysis, Amplitude modulation, Convolutional neural networks, Optical testing, Neural networks, Algorithm development, Spatial frequencies, Phase shift keying, Phase retrieval, Metrology

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Proceedings Article | 21 August 2020 Presentation + Paper

Machine-learning based fast unsupervised variational image decomposition for fringe pattern analysis

Maria Cywińska, Maciej Trusiak, Krzysztof Patorski

Proceedings Volume 11490, 114900D (2020) https://doi.org/10.1117/12.2568503

KEYWORDS: Fringe analysis, Machine learning, Image classification, Algorithm development, Image processing, Classification systems

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Proceedings Article | 4 March 2019 Paper

Biological phase sample study using variational Hilbert imaging technique

Maria Cywińska, Maciej Trusiak, Krzysztof Patorski

Proceedings Volume 10887, 108872F (2019) https://doi.org/10.1117/12.2507820

KEYWORDS: Fringe analysis, Fourier transforms, Denoising, Algorithm development, Spatial frequencies, Holograms, Phase imaging, Biological research, Demodulation, Digital holography

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Proceedings Article | 18 December 2018 Paper

Analysis of fringe patterns with variable density using modified variational image decomposition aided by the Hilbert Transform

Maria Cywińska, Maciej Trusiak, Krzysztof Patorski

Proceedings Volume 10976, 1097609 (2018) https://doi.org/10.1117/12.2517930

KEYWORDS: Fringe analysis, Denoising, Error analysis, Spatial frequencies, Demodulation, Phase retrieval, Image analysis, Interferometry, Computer simulations, MATLAB

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Proceedings Article | 7 September 2018 Paper

An adaptive optics 3D STED microscope for super-resolution imaging of thick samples with background noise suppression using digital image processing

Piotr Zdańkowski, Maciej Trusiak, Maria Cywińska, Jason Swedlow

Proceedings Volume 10834, 108342G (2018) https://doi.org/10.1117/12.2324145

KEYWORDS: Stimulated emission depletion microscopy, 3D image processing, Image filtering, Microscopes, Adaptive optics, Image resolution, Microscopy, Confocal microscopy, Super resolution microscopy, Confocal fluorescent microscopy, Aberration correction

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Proceedings Article | 7 September 2018 Paper

Modified variational image decomposition algorithm aided by the Hilbert transform as an alternative to 2D Hilbert-Huang transform for fringe pattern phase retrieval

Maria Cywińska, Maciej Trusiak, Krzysztof Patorski, Jose Angel Picazo-Bueno, Vicente Mico

Proceedings Volume 10834, 1083422 (2018) https://doi.org/10.1117/12.2319681

KEYWORDS: Fringe analysis, Tolerancing, Phase retrieval, Image analysis, Demodulation, Image retrieval, Spatial frequencies, Error analysis, Computer simulations

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Proceedings Article | 18 August 2018 Presentation + Paper

Moiré effect-based interference microscopy for biospecimen characterization

Maciej Trusiak, Vicente Mico, Jose Angel Picazo-Bueno, Maria Cywińska, Piotr Zdańkowski, Krzysztof Patorski

Proceedings Volume 10749, 107490H (2018) https://doi.org/10.1117/12.2323601

KEYWORDS: Spatial frequencies, Fringe analysis, Demodulation, Microscopy, Fourier transforms, Visualization, Digital filtering, Prostate cancer, Image processing, Structural design

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Interference microscopy for biospecimen characterization based on the moiré phenomena is described. Two scenarios of incoherent multiplicative superimposition are employed: (1) object information carrying interferogram is superimposed with reference one or (2) two object interferograms are superimposed (with equal or opposite phase signs). Second strategy provides additional doubling of underlying phase function of interest. Superimposition can be performed using two experimental interferograms or single real interferogram and numerically designed reference structure in so-called digital moiré regime. Multiplicative superimposition of two periodic intensity distribution yields moiré pattern containing low spatial frequency difference beat term (moiré fringes – macrostructure) and high spatial frequency sum beat term (microstructure). The macrostructure was studied in great majority of previously reported moiré techniques. In this contribution we point attention onto the sum beat spatial frequency component and report efficient means for its recovery using numerically advanced digital filtering (variational/empirical decomposition approaches). Its single-frame (single-pattern) phase demodulation by 2D Hilbert spiral transform with enhanced accuracy follows - this feature comes from the fact that sum beat moiré term has high spatial frequency which is generally beneficial in single-frame fringe analysis and its phase function is be doubled. In particular spatial phase change is better sampled by fringes for denser interferogram and more importantly numerical filtering of fringe term of interest from background intensity is easier. We propose and preliminarily evaluate experimental proof-of-concept strategy where two interferograms with slight difference in spatial frequency are simultaneously recorded in two halves of CCD camera and superimposed multiplicatively. Proposed moiré technique opens up new possibilities in interference microscopy based bio-phase imaging mainly due to its data-driven enhanced phase sensitivity (fringe doubling effect) and real-time operation. Evaluation employing numerical simulations and validation using experimental recordings of phase bio-samples, i.e., prostate cancer cells are enclosed.

Proceedings Article | 24 May 2018 Presentation + Paper

Single-frame fringe pattern analysis using modified variational image decomposition aided by the Hilbert transform for fast full-field quantitative phase imaging

Maria Cywińska, Maciej Trusiak, Vicente Mico, Krzysztof Patorski

Proceedings Volume 10677, 106772B (2018) https://doi.org/10.1117/12.2315098

KEYWORDS: Denoising, Fringe analysis, Image analysis, Phase imaging, Demodulation, Holograms, Wavelets, Error analysis, Microscopy, Image processing

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Showing 5 of 12 publications

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