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基于波长复用的傅里叶叠层显微术。

Fourier ptychographic microscopy using wavelength multiplexing.

机构信息

Tsinghua University, Department of Automation, Beijing, China.

University of Connecticut, Biomedical Engineering, and Electrical and Computer Engineering, Storrs, Connecticut, United States.

出版信息

J Biomed Opt. 2017 Jun 1;22(6):66006. doi: 10.1117/1.JBO.22.6.066006.

DOI:10.1117/1.JBO.22.6.066006
PMID:28613346
Abstract

Fourier ptychographic microscopy (FPM) is a recently developed technique stitching low-resolution images in Fourier domain to realize wide-field high-resolution imaging. However, the time-consuming process of image acquisition greatly narrows its applications in dynamic imaging. We report a wavelength multiplexing strategy to speed up the acquisition process of FPM several folds. A proof-of-concept system is built to verify its feasibility. Distinguished from many current multiplexing methods in Fourier domain, we explore the potential of high-speed FPM in spectral domain. Compatible with most existing FPM methods, our strategy provides an approach to high-speed gigapixel microscopy. Several experimental results are also presented to validate the strategy.

摘要

傅里叶叠层显微镜(FPM)是一种新兴的技术,通过在傅里叶域中拼接低分辨率图像来实现宽场高分辨率成像。然而,图像采集过程耗时较长,极大地限制了其在动态成像中的应用。我们报告了一种波长复用策略,可以将 FPM 的采集速度提高数倍。构建了一个概念验证系统来验证其可行性。与当前傅里叶域中的许多复用方法不同,我们探索了高速 FPM 在光谱域中的潜力。与大多数现有的 FPM 方法兼容,我们的策略为高速千兆像素显微镜提供了一种方法。还呈现了一些实验结果来验证该策略。

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1
Fourier ptychographic microscopy using wavelength multiplexing.基于波长复用的傅里叶叠层显微术。
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Research and Optimization of White Blood Cell Classification Methods Based on Deep Learning and Fourier Ptychographic Microscopy.基于深度学习和傅里叶叠层显微镜的白细胞分类方法研究与优化
Sensors (Basel). 2025 Apr 24;25(9):2699. doi: 10.3390/s25092699.
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Development and Assessment of Multiple Illumination Color Fourier Ptychographic Microscopy for High Throughput Sample Digitization.发展及评估高通量样本数字化的多重照明彩色傅里叶叠层显微术。
Sensors (Basel). 2024 Jul 12;24(14):4505. doi: 10.3390/s24144505.
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Fourier Ptychographic Microscopy 10 Years on: A Review.
傅里叶叠层显微术 10 年进展综述
Cells. 2024 Feb 10;13(4):324. doi: 10.3390/cells13040324.