Advancing phase recovery in time-stretch computational cell imaging

Yueqin Li; Jun Qin; Jian Sun; Min Miao

doi:10.1117/12.2686695

28 November 2023 Advancing phase recovery in time-stretch computational cell imaging

Yueqin Li, Jun Qin, Jian Sun, Min Miao

Proceedings Volume 12772, Real-time Photonic Measurements, Data Management, and Processing VII; 1277204 (2023) https://doi.org/10.1117/12.2686695
Event: SPIE/COS Photonics Asia, 2023, Beijing, China

Abstract

The time-stretch imaging system is a promising method for achieving real-time imaging and low-latency cell screening. To facilitate the evaluation of time-stretch imaging systems for cell detection, we present a simulator for phase recovery in a time-stretch quantitative phase imaging (TS-QPI) system. The simulator enables the efficient evaluation of TS-QPI system, demonstrating the feasibility of accurate phase recovery for a wide range of cell screening conditions and designing the TS-QPI systems depending on the characteristics of the target cells. Furthermore, it allows synthesis of simulated phase images highly beneficial in data augmentation when training machine learning models for cell detection.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yueqin Li, Jun Qin, Jian Sun, and Min Miao "Advancing phase recovery in time-stretch computational cell imaging", Proc. SPIE 12772, Real-time Photonic Measurements, Data Management, and Processing VII, 1277204 (28 November 2023); https://doi.org/10.1117/12.2686695

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