Quantitative phase imaging (QPI) allows 2D label-free live cell observations, yet achieving fast and accurate 3D reconstruction remains a challenge. While holographic tomography (HT) can partially satisfy this need, it requires a complex mechanical design. This project aims to leverage supervised deep learning for 3D reconstruction from simulated holographic incoherent-source QPI (hiQPI) z-stacked phase images. Obtaining z-stack images is less mechanically demanding, making this one of many potential stepping stones to fast and accurate 3D QPI.

CEITEC VUT-J-24-8641

čeština

Michálková Ivana, Ing. - hlavní řešitel
Chmelík Radim, prof. RNDr., Ph.D. - spoluřešitel

Experimentální biofotonika
- odpovědné pracoviště (4.3.2024 - nezadáno)
Středoevropský technologický institut VUT
- odpovědné pracoviště (31.1.2024 - 4.3.2024)
Experimentální biofotonika
- příjemce (1.1.2024 - 31.12.2024)

MICHÁLKOVÁ, I.; CHMELÍK, R.; ĎURIŠ, M. Accelerated High-Resolution 3D Refractive Index Reconstruction Using Holographic Incoherent-Light-Source QPI and Deep Learning. In Progress in Biomedical Optics and Imaging Proceedings of SPIE. Progress in biomedical optics and imaging. SPIE, 2025. 10 p. ISBN: 9781510684065.
Detail

CHMELIK, R.; MICHALKOVA, I.; DOSTAL, Z.; DURIS, M.; SLABA, M. Holographic Incoherent-light-source Quantitative Phase Imaging: An Alternative to Holographic Tomography. In Progress in Biomedical Optics and Imaging Proceedings of SPIE. Progress in biomedical optics and imaging. SPIE, 2025. 6 p. ISBN: 9781510684065.
Detail

Odpovědnost: Michálková Ivana, Ing.