Wakefield Devin L, Graham Richard, Wong Kevin, Wang Songli, Hale Christopher, Yu Chung-Chieh
Amgen Inc, South San Francisco, CA 94080, USA.
These authors contributed equally to this work.
Biomed Opt Express. 2022 Feb 7;13(3):1312-1327. doi: 10.1364/BOE.451128. eCollection 2022 Mar 1.
Quantitative phase imaging (QPI) is an ideal method to non-invasively monitor cell populations and provide label-free imaging and analysis. QPI offers enhanced sample characterization and cell counting compared to conventional label-free techniques. We demonstrate this in the current study through a comparison of cell counting data from digital phase contrast (DPC) imaging and from QPI using a system based on Fourier ptychographic microscopy (FPM). Our FPM system offers multi-well, parallel imaging and a QPI-specific cell segmentation method to establish automated and reliable cell counting. Three cell types were studied and FPM showed improvement in the ability to resolve fine details and thin cells, despite limitations of the FPM system incurred by imaging artifacts. Relative to manually counted fluorescence ground-truth, cell counting results after automated segmentation showed improved accuracy with QPI over DPC.
定量相位成像（QPI）是一种用于非侵入性监测细胞群体并提供无标记成像和分析的理想方法。与传统的无标记技术相比，QPI能增强样本表征和细胞计数能力。在本研究中，我们通过比较数字相衬（DPC）成像和基于傅里叶叠层显微术（FPM）系统的QPI的细胞计数数据来证明这一点。我们的FPM系统提供多孔平行成像以及一种特定于QPI的细胞分割方法，以实现自动化且可靠的细胞计数。研究了三种细胞类型，尽管FPM系统存在成像伪影带来的局限性，但FPM在分辨精细细节和薄细胞的能力方面有所改进。相对于手动计数的荧光真值，自动分割后的细胞计数结果显示，QPI比DPC具有更高的准确性。
