Auswahl der wissenschaftlichen Literatur zum Thema „Fourier Ptychographic Microscopy“
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Zeitschriftenartikel zum Thema "Fourier Ptychographic Microscopy"
Jizhou Zhang, Jizhou Zhang, Tingfa Xu Tingfa Xu, Xing Wang Xing Wang, Sining Chen Sining Chen und Guoqiang Ni Guoqiang Ni. „Fast gradational reconstruction for Fourier ptychographic microscopy“. Chinese Optics Letters 15, Nr. 11 (2017): 111702. http://dx.doi.org/10.3788/col201715.111702.
Der volle Inhalt der QuelleOu, Xiaoze, Jaebum Chung, Roarke Horstmeyer und Changhuei Yang. „Aperture scanning Fourier ptychographic microscopy“. Biomedical Optics Express 7, Nr. 8 (29.07.2016): 3140. http://dx.doi.org/10.1364/boe.7.003140.
Der volle Inhalt der QuelleWang, Lin, Qihao Song, Hongbo Zhang, Caojin Yuan und Ting-Chung Poon. „Optical scanning Fourier ptychographic microscopy“. Applied Optics 60, Nr. 4 (30.11.2020): A243. http://dx.doi.org/10.1364/ao.402644.
Der volle Inhalt der QuelleLoetgering, Lars, Tomas Aidukas, Kevin C. Zhou, Felix Wechsler und Roarke Horstmeyer. „Fourier Ptychography Part II: Phase Retrieval and High-Resolution Image Formation“. Microscopy Today 30, Nr. 5 (September 2022): 36–39. http://dx.doi.org/10.1017/s1551929522001055.
Der volle Inhalt der QuelleZhang, Yongbing, Weixin Jiang, Lei Tian, Laura Waller und Qionghai Dai. „Self-learning based Fourier ptychographic microscopy“. Optics Express 23, Nr. 14 (08.07.2015): 18471. http://dx.doi.org/10.1364/oe.23.018471.
Der volle Inhalt der QuelleLiu, Qiulan, Yue Fang, Renjie Zhou, Peng Xiu, Cuifang Kuang und Xu Liu. „Surface wave illumination Fourier ptychographic microscopy“. Optics Letters 41, Nr. 22 (15.11.2016): 5373. http://dx.doi.org/10.1364/ol.41.005373.
Der volle Inhalt der QuelleZhou, You, Jiamin Wu, Zichao Bian, Jinli Suo, Guoan Zheng und Qionghai Dai. „Fourier ptychographic microscopy using wavelength multiplexing“. Journal of Biomedical Optics 22, Nr. 6 (14.06.2017): 066006. http://dx.doi.org/10.1117/1.jbo.22.6.066006.
Der volle Inhalt der QuelleHorstmeyer, Roarke, Guoan Zheng, Xiaoze Ou und Changhuei Yang. „Modeling Extensions of Fourier Ptychographic Microscopy“. Microscopy and Microanalysis 20, S3 (August 2014): 370–71. http://dx.doi.org/10.1017/s1431927614003572.
Der volle Inhalt der QuelleXiu, Peng, Youhua Chen, Cuifang Kuang, Yue Fang, Yifan Wang, Jiannan Fan, Yingke Xu und Xu Liu. „Structured illumination fluorescence Fourier ptychographic microscopy“. Optics Communications 381 (Dezember 2016): 100–106. http://dx.doi.org/10.1016/j.optcom.2016.06.075.
Der volle Inhalt der QuelleHuang, Kaicheng, Wangwei Hui, Qing Ye, Senlin Jin, Hongyang Zhao, Qiushuai Shi, Jianguo Tian und Wenyuan Zhou. „Compressed-sampling-based Fourier ptychographic microscopy“. Optics Communications 452 (Dezember 2019): 18–24. http://dx.doi.org/10.1016/j.optcom.2019.07.009.
Der volle Inhalt der QuelleDissertationen zum Thema "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/.
Der volle Inhalt der QuelleHassini, 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.
Der volle Inhalt der QuelleDigital 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
Buchteile zum Thema "Fourier Ptychographic Microscopy"
Wang, Shushan, Tingfa Xu, Jizhou Zhang, Xin Wang, Yiwen Chen und 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.
Der volle Inhalt der QuelleWang, Xin, Tingfa Xu, Jizhou Zhang, Shushan Wang, Yizhou Zhang, Yiwen Chen und 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.
Der volle Inhalt der QuelleWilliams, Anthony, Jaebum Chung, Changhuei Yang und 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.
Der volle Inhalt der QuelleRothhardt, J., und 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.
Der volle Inhalt der QuelleKonferenzberichte zum Thema "Fourier Ptychographic Microscopy"
Aidukas, Tomas, Pavan C. Konda, Jonathan M. Taylor und 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.
Der volle Inhalt der QuelleWang, Lin, Qihao Song, Hongbo Zhang, Yu Xin und 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.
Der volle Inhalt der Quelleli, ming, Yicheng Li, Ruixin Wen, Ling Zhong, Cuifang Kuang und Haifeng Li. „Light field Fourier ptychographic microscopy“. In The International Conference on Photonics and Optical Engineering, herausgegeben von Ailing Tian. SPIE, 2019. http://dx.doi.org/10.1117/12.2522600.
Der volle Inhalt der QuelleLiu, Linmin, Jie Li, Xiaoli Wang, Jizhou Zhang, Jinyang Yu und 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.
Der volle Inhalt der QuelleChen, Xingye, Jiamin Wu, Chenguang Ma und 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.
Der volle Inhalt der QuelleTang, Qijian, Wei Huang, Chenggong Zhang, Xiaoli Liu und Xiang Peng. „Global iterative optimization for Fourier ptychographic microscopy“. In Advanced Optical Imaging Technologies III, herausgegeben von P. Scott Carney, Xiao-Cong Yuan und Kebin Shi. SPIE, 2020. http://dx.doi.org/10.1117/12.2583941.
Der volle Inhalt der QuelleKancharla, Parimala, und 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.
Der volle Inhalt der QuelleKellman, Michael, Emrah Bostan, Michael Chen und 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.
Der volle Inhalt der QuelleAidukas, Tomas, Andrew R. Harvey und 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.
Der volle Inhalt der QuelleBae, 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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