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Space-time Fourier ptychography for in vivo quantitative phase imaging
Ming Sun 
,
Kunyi Wang ,
Yogeshwar Nath Mishra ,
Simeng Qiu ,
Wolfgang Heidrich
,
Kunyi Wang ,
Yogeshwar Nath Mishra ,
Simeng Qiu ,
Wolfgang Heidrich
Optica, Volume: 11, Issue: 9, Start page: 1250
Swansea University Author:
Simeng Qiu
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DOI (Published version): 10.1364/optica.531646
Abstract
Quantitative phase imaging of living biological specimens is challenging due to their continuous movement and complex behavior. Here, we introduce space-time Fourier ptychography (ST-FP), which combines a fast Fourier ptychography (FP) model based on compressive sensing with space-time motion priors...
| Published in: | Optica |
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| ISSN: | 2334-2536 |
| Published: |
Optica Publishing Group
2024
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| Online Access: |
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa69394 |
| Abstract: |
Quantitative phase imaging of living biological specimens is challenging due to their continuous movement and complex behavior. Here, we introduce space-time Fourier ptychography (ST-FP), which combines a fast Fourier ptychography (FP) model based on compressive sensing with space-time motion priors for joint reconstruction of quantitative phase, intensity, and motion fields across consecutive frames. Using the same input data as compressive sensing FP, ST-FP increases the space-bandwidth-time product of the reconstructed complex image sequence while leveraging redundant temporal information to achieve robust reconstruction performance. The efficacy of this approach is demonstrated across various applications, particularly in observing living microorganisms undergoing rapid morphological changes and reconstructing amplitude and phase targets in motion. The improved phase retrieval capability of ST-FP enables digital refocusing, facilitating comprehensive three-dimensional analysis of microorganisms. This advancement paves the way for enhanced visualization of cellular processes, developmental biology studies, and investigations into life mechanics at the microscopic level. |
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| College: |
Faculty of Science and Engineering |
| Funders: |
King Abdullah University of Science and Technology (Individual Baseline Research Fund). |
| Issue: |
9 |
| Start Page: |
1250 |