Academic literature on the topic 'Fourier Ptychographic Microscopy'
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Journal articles on the topic "Fourier Ptychographic Microscopy"
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.
Full textOu, Xiaoze, Jaebum Chung, Roarke Horstmeyer, and Changhuei Yang. "Aperture scanning Fourier ptychographic microscopy." Biomedical Optics Express 7, no. 8 (July 29, 2016): 3140. http://dx.doi.org/10.1364/boe.7.003140.
Full textWang, Lin, Qihao Song, Hongbo Zhang, Caojin Yuan, and Ting-Chung Poon. "Optical scanning Fourier ptychographic microscopy." Applied Optics 60, no. 4 (November 30, 2020): A243. http://dx.doi.org/10.1364/ao.402644.
Full textLoetgering, 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 (September 2022): 36–39. http://dx.doi.org/10.1017/s1551929522001055.
Full textZhang, Yongbing, Weixin Jiang, Lei Tian, Laura Waller, and Qionghai Dai. "Self-learning based Fourier ptychographic microscopy." Optics Express 23, no. 14 (July 8, 2015): 18471. http://dx.doi.org/10.1364/oe.23.018471.
Full textLiu, Qiulan, Yue Fang, Renjie Zhou, Peng Xiu, Cuifang Kuang, and Xu Liu. "Surface wave illumination Fourier ptychographic microscopy." Optics Letters 41, no. 22 (November 15, 2016): 5373. http://dx.doi.org/10.1364/ol.41.005373.
Full textZhou, 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 (June 14, 2017): 066006. http://dx.doi.org/10.1117/1.jbo.22.6.066006.
Full textHorstmeyer, Roarke, Guoan Zheng, Xiaoze Ou, and Changhuei Yang. "Modeling Extensions of Fourier Ptychographic Microscopy." Microscopy and Microanalysis 20, S3 (August 2014): 370–71. http://dx.doi.org/10.1017/s1431927614003572.
Full textXiu, Peng, Youhua Chen, Cuifang Kuang, Yue Fang, Yifan Wang, Jiannan Fan, Yingke Xu, and Xu Liu. "Structured illumination fluorescence Fourier ptychographic microscopy." Optics Communications 381 (December 2016): 100–106. http://dx.doi.org/10.1016/j.optcom.2016.06.075.
Full textHuang, Kaicheng, Wangwei Hui, Qing Ye, Senlin Jin, Hongyang Zhao, Qiushuai Shi, Jianguo Tian, and Wenyuan Zhou. "Compressed-sampling-based Fourier ptychographic microscopy." Optics Communications 452 (December 2019): 18–24. http://dx.doi.org/10.1016/j.optcom.2019.07.009.
Full textDissertations / Theses on the topic "Fourier Ptychographic Microscopy"
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/.
Full textHassini, 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.
Full textDigital pathology presents today a fundamental tool for medical diagnosis, exploiting technological advances in digitalization to transform biological samples into digital data, thus facilitating their visualization and analysis. However, these methods, often based on conventional microscopy, encounter limitations that sometimes hinder their effectiveness.From this perspective, unconventional imaging methods such as Fourier ptychographic microscopy offer promising prospects for overcoming these limitations. Indeed, FPM offers access to the phase in complement of the intensity and allows examining a large Field of View at a high resolution at a reasonable design cost.This thesis explores Fourier ptychographic microscopy (FPM) 's potential in thin blood smear analysis. Several results have been obtained thanks to a multidisciplinary approach integrating deep learning and microscopy.We have first focused our attention on the problem of limited complexity of parasite detection for malaria diagnosis. The joint exploitation of intensity and phase is shown to improve the performance of a deep network detector. To this end, a complex-valued CNN has been introduced in Faster-RCNN architecture for efficient feature extraction.Secondly, we have considered a more complex application, namely the classification of white blood cells, where the benefits of joint exploitation of intensity and phase were also confirmed. Furthermore, to reduce the imbalance of classes encountered in this task, we propose a novel physics-informed GAN model dedicated to generating intensity and phase images. This model avoids the mode collapse problem faced with usual GAN implementation.Finally, we have considered optimizing the FPM microscope design. To this end, we explore strategies combining simulations, neural networks, and image formation modeling. We demonstrate that FPM can use low resolutions without significantly compromising performance.This thesis underscores the interest in tailoring machine learning in connection to microscopy principles and highlights the potential of Fourier ptychographic microscopy for future automated diagnosis systems
Book chapters on the topic "Fourier Ptychographic Microscopy"
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, 891–98. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-8411-4_119.
Full textWang, Xin, Tingfa Xu, Jizhou Zhang, Shushan Wang, Yizhou Zhang, Yiwen Chen, and Jinhua Zhang. "Bone Marrow Cell Counting Method Based on Fourier Ptychographic Microscopy and Convolutional Neural Network." In Lecture Notes in Electrical Engineering, 687–93. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-8411-4_92.
Full textWilliams, 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, 107–17. New York, NY: Springer New York, 2017. http://dx.doi.org/10.1007/978-1-4939-7144-2_8.
Full textRothhardt, J., and L. Loetgering. "Ultrafast Nanoscale Imaging with High Harmonic Sources." In Structural Dynamics with X-ray and Electron Scattering, 233–53. Royal Society of Chemistry, 2023. http://dx.doi.org/10.1039/bk9781837671564-00233.
Full textConference papers on the topic "Fourier Ptychographic Microscopy"
Aidukas, Tomas, Pavan C. Konda, Jonathan M. Taylor, and Andrew R. Harvey. "Multi-camera Fourier Ptychographic Microscopy." In Computational Optical Sensing and Imaging. Washington, D.C.: OSA, 2019. http://dx.doi.org/10.1364/cosi.2019.cw3a.4.
Full textWang, Lin, Qihao Song, Hongbo Zhang, Yu Xin, and Ting-Chung Poon. "Optical Scanning Fourier Ptychographic Microscopy." In Digital Holography and Three-Dimensional Imaging. Washington, D.C.: OSA, 2019. http://dx.doi.org/10.1364/dh.2019.w3a.10.
Full textli, ming, Yicheng Li, Ruixin Wen, Ling Zhong, Cuifang Kuang, and Haifeng Li. "Light field Fourier ptychographic microscopy." In The International Conference on Photonics and Optical Engineering, edited by Ailing Tian. SPIE, 2019. http://dx.doi.org/10.1117/12.2522600.
Full textLiu, Linmin, Jie Li, Xiaoli Wang, Jizhou Zhang, Jinyang Yu, and Lixia Cao. "Momentum Acceleration Fourier Ptychographic Microscopy." In 2021 International Conference on Electronic Information Engineering and Computer Science (EIECS). IEEE, 2021. http://dx.doi.org/10.1109/eiecs53707.2021.9588134.
Full textChen, Xingye, Jiamin Wu, Chenguang Ma, and Qionghai Dai. "Advanced Illumination Pattern in Fourier Ptychographic Microscopy." In 3D Image Acquisition and Display: Technology, Perception and Applications. Washington, D.C.: OSA, 2016. http://dx.doi.org/10.1364/3d.2016.jt3a.41.
Full textTang, Qijian, Wei Huang, Chenggong Zhang, Xiaoli Liu, and Xiang Peng. "Global iterative optimization for Fourier ptychographic microscopy." In Advanced Optical Imaging Technologies III, edited by P. Scott Carney, Xiao-Cong Yuan, and Kebin Shi. SPIE, 2020. http://dx.doi.org/10.1117/12.2583941.
Full textKancharla, Parimala, and Sumohana S. Channappayya. "A weighted optimization for Fourier Ptychographic Microscopy." In 2019 National Conference on Communications (NCC). IEEE, 2019. http://dx.doi.org/10.1109/ncc.2019.8732227.
Full textKellman, Michael, Emrah Bostan, Michael Chen, and Laura Waller. "Data-Driven Design for Fourier Ptychographic Microscopy." In 2019 IEEE International Conference on Computational Photography (ICCP). IEEE, 2019. http://dx.doi.org/10.1109/iccphot.2019.8747339.
Full textAidukas, Tomas, Andrew R. Harvey, and Pavan Chandra Konda. "Miniature Fourier Ptychographic Microscope Using Mobile Phone Camera Sensors." In Microscopy Histopathology and Analytics. Washington, D.C.: OSA, 2018. http://dx.doi.org/10.1364/microscopy.2018.mtu4a.2.
Full textBae, Yoon Sung. "Fourier ptychographic microscopy using DUV source for semiconductor metrology." In European Microscopy Congress 2020. Royal Microscopical Society, 2021. http://dx.doi.org/10.22443/rms.emc2020.101.
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