Maciej Trusiak

Has grant

Assistant Professor

University of Warsaw

Poland

Research Interests

Explore related searches

Professors in Poland Professors in Medical Imaging Medical Imaging professors in Poland

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

About

Maciej Trusiak is an Assistant Professor at Warsaw University of Technology in Poland. His research focuses on advanced optical imaging techniques, quantitative phase imaging, and convolutional neural networks applied to metrology. Recent publications include works on topics such as polarized gratings in Holotomography, Fourier ptychographic microscopy, and label-free quantitative cell migration sensing.

Recent Grants

Grant: Close

Development of the method of Hilbert-Huang transform the needs of optical metrology

Open Date: 2015-08-10

Close Date: 2017-08-09

Grant: Close

The development of methods for rapid adaptive signal decomposition two-dimensional empirical mode to analyze the fringe

Open Date: 2012-05-23

Close Date: 2015-05-22

Articles (19)

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2024

Year:

2024

Year:

2024

Year:

2023

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Year:

2021

Year:

2021

Year:

2021

Year:

2021

Collaborators (4)

Małgorzata Kujawińska

Professor, Chair of Photonics Engineering Division

University of Warsaw

POLAND

View details

Piotr Arcab

Wroclaw University of Science and Technology

POLAND

View details

Mikołaj Rogalski

Wroclaw University of Science and Technology

POLAND

View details

Julianna Winnik

Wroclaw University of Science and Technology

POLAND

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Maciej Trusiak

Research Interests

Explore related searches

Contact this professor

About

Recent Grants

Articles (19)

Polarization Gratings Aided Common‐Path Hilbert Holotomography for Label‐Free Lipid Droplets Content Assay

Fourier Holo-Ptychographic Microscopy: A Hybrid Digital Holography-Fourier Ptychography Approach to Synthetic-Aperture Quantitative Phase Microscopy

DeepQuadrature: universal convolutional neural network enlarging space–bandwidth product in single-shot fringe pattern optical metrology

Hybrid Iterating-Averaging Low Photon Budget Gabor Holographic Microscopy

Iterative Kramers–Kronig method for non-interferometric quantitative phase imaging: beyond the first-order Born and Rytov approximations

Multi-culture label-free quantitative cell migration sensing with single-cell precision

Phase retrieval via conjugate gradient minimization in double-plane lensless holographic microscopy

Physics-driven universal twin-image removal network for digital in-line holographic microscopy

Assessing Noise Impact on DeepOrientation - A Convolutional Neural Network for Local Fringe Orientation Map Estimation

DeepVID: deep-learning accelerated variational image decomposition model tailored to fringe pattern filtration

Experimental optimization of lensless digital holographic microscopy with rotating diffuser-based coherent noise reduction

Hilbert phase microscopy based on pseudo thermal illumination in the Linnik configuration

DeepOrientation: convolutional neural network for fringe pattern orientation map estimation

Low-intensity illumination for lensless digital holographic microscopy with minimized sample interaction

Numerical analysis of the effect of reduced temporal coherence in quantitative phase microscopy and tomography

Versatile optimization-based speed-up method for autofocusing in digital holographic microscopy

Single-shot fringe pattern phase retrieval using improved period-guided bidimensional empirical mode decomposition and Hilbert transform

Common-path intrinsically achromatic optical diffraction tomography

Common-path intrinsically achromatic optical diffraction tomography

Collaborators (4)

Małgorzata Kujawińska

Piotr Arcab

Mikołaj Rogalski

Julianna Winnik

Make your next move.