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

Czech

Michálková Ivana, Ing. - principal person responsible
Chmelík Radim, prof. RNDr., Ph.D. - fellow researcher

Central European Institute of Technology BUT
- responsible department (31.1.2024 - 4.3.2024)
Experimental Biophotonics
- responsible department (4.3.2024 - not assigned)
Experimental Biophotonics
- beneficiary (1.1.2024 - 31.12.2024)

Responsibility: Michálková Ivana, Ing.