Quantitative dynamic cellular imaging based on 3D unwrapped optically computed phase microscopy
Document Type
Article
Publication Date
9-20-2022
Abstract
We investigate continuous observation of dynamic phenomena through quantitative phase microscopy. We conduct imaging studies using optically computed phase microscopy, a novel imaging technology developed in our lab, to the best of our knowledge. Inevitably, continuous phase imaging is affected by phase wrapping artifacts, which affects correct quantification of sample dynamics. To address this issue, we develop a 3D unwrapping method that exploits data correlation in space as well as in time. We validate our 3D phase unwrapping method using simulated data. We further validate 3D phase unwrapping using experimental data and demonstrate quantitative phase imaging that accurately characterizes sample dynamics. We image the nanoscale motion of the sample actuated by a piezo transducer (PZT). We calculate the displacement using 3D unwrapped phase, and the result is consistent with the known motion of the PZT. We also image live cells that were detaching from the substrate of the petri dish. The optical path length calculated using 3D unwrapped phase increases as the dry mass of the cell becomes more concentrated during the detachment process.
Identifier
85139445414 (Scopus)
Publication Title
Applied Optics
External Full Text Location
https://doi.org/10.1364/AO.463843
e-ISSN
21553165
ISSN
1559128X
PubMed ID
36255921
First Page
7999
Last Page
8005
Issue
27
Volume
61
Grant
R21GM140438
Fund Ref
National Institute of General Medical Sciences
Recommended Citation
Liu, Xuan; Liu, Yuwei; Wan, Zhaoxiong; Gunasekar, Arun Kumar; and Zhang, Yuanwei, "Quantitative dynamic cellular imaging based on 3D unwrapped optically computed phase microscopy" (2022). Faculty Publications. 2653.
https://digitalcommons.njit.edu/fac_pubs/2653