Academic literature on the topic 'Fourier Ptychographic Microscopy'

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Journal articles on the topic "Fourier Ptychographic Microscopy"

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Jizhou Zhang, Jizhou Zhang, Tingfa Xu Tingfa Xu, Xing Wang Xing Wang, Sining Chen Sining Chen, and Guoqiang Ni Guoqiang Ni. "Fast gradational reconstruction for Fourier ptychographic microscopy." Chinese Optics Letters 15, no. 11 (2017): 111702. http://dx.doi.org/10.3788/col201715.111702.

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Ou, Xiaoze, Jaebum Chung, Roarke Horstmeyer, and Changhuei Yang. "Aperture scanning Fourier ptychographic microscopy." Biomedical Optics Express 7, no. 8 (2016): 3140. http://dx.doi.org/10.1364/boe.7.003140.

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Wang, Lin, Qihao Song, Hongbo Zhang, Caojin Yuan, and Ting-Chung Poon. "Optical scanning Fourier ptychographic microscopy." Applied Optics 60, no. 4 (2020): A243. http://dx.doi.org/10.1364/ao.402644.

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Loetgering, Lars, Tomas Aidukas, Kevin C. Zhou, Felix Wechsler, and Roarke Horstmeyer. "Fourier Ptychography Part II: Phase Retrieval and High-Resolution Image Formation." Microscopy Today 30, no. 5 (2022): 36–39. http://dx.doi.org/10.1017/s1551929522001055.

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Abstract:This article is the second within a three-part series on Fourier ptychography, which is a computational microscopy technique for high-resolution, large field-of-view imaging. While the first article laid out the basics of Fourier ptychography, this second part sheds light on its algorithmic ingredients. We present a non-technical discussion of phase retrieval, which allows for the synthesis of high-resolution images from a sequence of low-resolution raw data. Fourier ptychographic phase retrieval can be carried out on standard, widefield microscopy platforms with the simple addition o
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Zhang, Yongbing, Weixin Jiang, Lei Tian, Laura Waller, and Qionghai Dai. "Self-learning based Fourier ptychographic microscopy." Optics Express 23, no. 14 (2015): 18471. http://dx.doi.org/10.1364/oe.23.018471.

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Liu, Qiulan, Yue Fang, Renjie Zhou, Peng Xiu, Cuifang Kuang, and Xu Liu. "Surface wave illumination Fourier ptychographic microscopy." Optics Letters 41, no. 22 (2016): 5373. http://dx.doi.org/10.1364/ol.41.005373.

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Zhou, You, Jiamin Wu, Zichao Bian, Jinli Suo, Guoan Zheng, and Qionghai Dai. "Fourier ptychographic microscopy using wavelength multiplexing." Journal of Biomedical Optics 22, no. 6 (2017): 066006. http://dx.doi.org/10.1117/1.jbo.22.6.066006.

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Horstmeyer, Roarke, Guoan Zheng, Xiaoze Ou, and Changhuei Yang. "Modeling Extensions of Fourier Ptychographic Microscopy." Microscopy and Microanalysis 20, S3 (2014): 370–71. http://dx.doi.org/10.1017/s1431927614003572.

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Xiu, Peng, Youhua Chen, Cuifang Kuang, et al. "Structured illumination fluorescence Fourier ptychographic microscopy." Optics Communications 381 (December 2016): 100–106. http://dx.doi.org/10.1016/j.optcom.2016.06.075.

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Huang, Kaicheng, Wangwei Hui, Qing Ye, et al. "Compressed-sampling-based Fourier ptychographic microscopy." Optics Communications 452 (December 2019): 18–24. http://dx.doi.org/10.1016/j.optcom.2019.07.009.

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Dissertations / Theses on the topic "Fourier Ptychographic Microscopy"

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Konda, Pavan Chandra. "Multi-Aperture Fourier Ptychographic Microscopy : development of a high-speed gigapixel coherent computational microscope." Thesis, University of Glasgow, 2018. http://theses.gla.ac.uk/9015/.

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Medical research and clinical diagnostics require imaging of large sample areas with sub-cellular resolution. Conventional imaging techniques can provide either high-resolution or wide field-of-view (FoV) but not both. This compromise is conventionally defeated by using a high NA objective with a small FoV and then mechanically scan the sample in order to acquire separate images of its different regions. By stitching these images together, a larger effective FoV is then obtained. This procedure, however, requires precise and expensive scanning stages and prolongs the acquisition time, thus ren
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Hassini, Houda. "Automatic analysis of blood smears images : contribution of phase modality in Fourier Ptychographic Microscopy." Electronic Thesis or Diss., Institut polytechnique de Paris, 2024. http://www.theses.fr/2024IPPAS014.

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La pathologie numérique constitue aujourd'hui un outil fondamental pour le diagnostic médical, exploitant les avancées technologiques en matière de numérisation pour transformer les échantillons biologiques en données numériques, facilitant ainsi leur visualisation et leur analyse. Cependant, ces méthodes, souvent basées sur la microscopie conventionnelle, rencontrent des limitations qui entravent parfois leur efficacité. Dans ce contexte, des méthodes d'imagerie non conventionnelles telles que la microscopie ptychographique de Fourier (FPM) offrent des perspectives prometteuses pour surmonter
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Book chapters on the topic "Fourier Ptychographic Microscopy"

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Wang, Shushan, Tingfa Xu, Jizhou Zhang, Xin Wang, Yiwen Chen, and Jinhua Zhang. "Automatic Counting System of Red Blood Cells Based on Fourier Ptychographic Microscopy." In Lecture Notes in Electrical Engineering. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-8411-4_119.

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Wang, Xin, Tingfa Xu, Jizhou Zhang, et al. "Bone Marrow Cell Counting Method Based on Fourier Ptychographic Microscopy and Convolutional Neural Network." In Lecture Notes in Electrical Engineering. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-8411-4_92.

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Williams, Anthony, Jaebum Chung, Changhuei Yang, and Richard J. Cote. "Fourier Ptychographic Microscopy for Rapid, High-Resolution Imaging of Circulating Tumor Cells Enriched by Microfiltration." In Methods in Molecular Biology. Springer New York, 2017. http://dx.doi.org/10.1007/978-1-4939-7144-2_8.

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Rothhardt, J., and L. Loetgering. "Ultrafast Nanoscale Imaging with High Harmonic Sources." In Structural Dynamics with X-ray and Electron Scattering. Royal Society of Chemistry, 2023. http://dx.doi.org/10.1039/bk9781837671564-00233.

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The principle of high harmonic generation (HHG) is the basis of a new era of compact, high-flux radiation sources, which deliver short wavelengths at ultrafast timescales. Various metrology techniques reported so far, such as pump–probe spectroscopy and microscopy, are either time-, frequency-, or space-resolved, but relatively few combined approaches exist. Recent advances in both source and algorithm development have enabled multimodal acquisition and data analysis schemes that bridge the gap between these separate domains. Here, we describe emerging techniques in ultrafast lensless imaging,
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Conference papers on the topic "Fourier Ptychographic Microscopy"

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Wu, Yang, Chao Tan, Jun Wang, and Ni Chen. "Automatic Differentiation-Assisted Fourier Ptychographic Microscopy." In Computational Optical Sensing and Imaging. Optica Publishing Group, 2024. http://dx.doi.org/10.1364/cosi.2024.cw3b.6.

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Fourier ptychographic microscopy (FPM) enables wide-field-of-view and high-resolution imaging. However, the precise offset should align LED array before recovering, otherwise it causes artifacts. To tackle it, we present a differentiable FPM technique to handle misalignments.
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Bannikov, Stephan, Paul Gaston, and Daryl Preece. "Low-cost Fourier ptychographic microscopy for neuroimaging applications." In Optical Trapping and Optical Micromanipulation XXI, edited by Halina Rubinsztein-Dunlop, Kishan Dholakia, and Giovanni Volpe. SPIE, 2024. http://dx.doi.org/10.1117/12.3028924.

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Gu, Chaoying, Antoine Islegen-Wojdyla, Markus P. Benk, Kenneth A. Goldberg, and Laura Waller. "Enhanced EUV mask imaging using Fourier ptychographic microscopy." In Optical and EUV Nanolithography XXXVIII, edited by Martin Burkhardt and Claire van Lare. SPIE, 2025. https://doi.org/10.1117/12.3051223.

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Chan, Matthew A., Haowen Zhou, Brandon Y. Feng, and Christopher A. Metzler. "Sparse Color Fourier Ptychographic Microscopy With Implicit Neural Representations." In Computational Optical Sensing and Imaging. Optica Publishing Group, 2024. http://dx.doi.org/10.1364/cosi.2024.cw3b.5.

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We apply implicit neural representations—which naturally capture spectral regularity—to reconstruct color Fourier ptychographic microscopy images from spectrally-sparse measurements. We conduct experiments on real-world specimens and demonstrate reconstruction quality comparable with fully sampled methods.
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Kim, Hyun-su, Balaji Sake, and Peter Schelkens. "Advancing Metrology via Multi-illumination Fourier Ptychographic Microscope." In Computational Optical Sensing and Imaging. Optica Publishing Group, 2024. http://dx.doi.org/10.1364/cosi.2024.cth1b.1.

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Improving the metrology based on phase retrieval of complex amplitude through multi-illumination Fourier Ptychographic microscopy offers enhanced accuracy and efficiency in optical measurements and defect analysis, enriching the signal obtained from the sample.
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Zhou, Jixiang, Jiaming Qian, and Yuzhen Zhang. "Real-time structured illumination microscopy based on Fourier ptychographic." In Second Advanced Imaging and Information Processing Conference (AIIP 2024), edited by Xinzhu Sang. SPIE, 2024. http://dx.doi.org/10.1117/12.3044481.

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Na, Hyeonseo, Yeny Yim, Chulmoo Kang, Myungjun Lee, and Mooseok Jang. "Enhancing phase reconstruction fidelity via reflective Fourier ptychographic microscopy." In Metrology, Inspection, and Process Control XXXIX, edited by Matthew J. Sendelbach and Nivea G. Schuch. SPIE, 2025. https://doi.org/10.1117/12.3051239.

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Hao, Jingzi, Bohan Xu, Tengyue Yan, et al. "Structural reconstruction of automotive sensors based on Fourier ptychographic microscopy." In 4th International Conference on Advanced Manufacturing Technology and Electronic Information (AMTEI 2024), edited by Wenfeng Hu, Wennian Yu, and Aniruddha Bhattacharjya. SPIE, 2025. https://doi.org/10.1117/12.3054416.

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Pham, Van Huan, Byong Hyuk Chon, and Hee Kyung Ahn. "Ultra-Violet Reflective Fourier Ptychographic Microscopy Using a Parabolic Mirror." In 3D Image Acquisition and Display: Technology, Perception and Applications. Optica Publishing Group, 2024. http://dx.doi.org/10.1364/3d.2024.jth2a.14.

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Here, we propose a reflective FPM using ultra-violet LEDs. To show the resolution improvement, a reflective FPM using 365 nm ultra-violet LEDs is demonstrated by resolving 173 nm half-pitch patterns in a USAF 1951 target.
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Sun, Jiasong, Yefeng Shu, and Chao Zuo. "Adaptive Optical Quantitative Phase Imaging of Living Cells Based on Fourier Ptychographic Microscopy." In Adaptive Optics: Methods, Analysis and Applications. Optica Publishing Group, 2024. http://dx.doi.org/10.1364/aopt.2024.ow1f.3.

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In this report, we present an adaptive optical Quantitative Phase Imaging (QPI) method based on annular illumination Fourier Ptychographic Microscopy (FPM). Using only six low-resolution images captured at six different illumination angles that match the objective, we're able to recover high-resolution quantitative phase images and characterize the aberrations in real time.
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