Journal ArticleDOI
Y-Net: a one-to-two deep learning framework for digital holographic reconstruction.
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TLDR
This Letter proposes a digital holographic reconstruction method with a one-to-two deep learning framework (Y-Net) that can simultaneously reconstruct intensity and phase information from a single digital hologram.Abstract:
In this Letter, for the first time, to the best of our knowledge, we propose a digital holographic reconstruction method with a one-to-two deep learning framework (Y-Net). Perfectly fitting the holographic reconstruction process, the Y-Net can simultaneously reconstruct intensity and phase information from a single digital hologram. As a result, this compact network with reduced parameters brings higher performance than typical network variants. The experimental results of the mouse phagocytes demonstrate the advantages of the proposed Y-Net.read more
Citations
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Journal ArticleDOI
Deep learning in optical metrology: a review
Chao Zuo,Jiaming Qian,Shijie Feng,Wei Yin,Yixuan Li,Pengfei Fan,Jing Han,Kemao Qian,Qian Chen +8 more
TL;DR: Deep learning-enabled optical metrology is a kind of data-driven approach, which has already provided numerous alternative solutions to many challenging problems in this field with better performances as discussed by the authors .
Journal ArticleDOI
Deep learning in optical metrology: a review
Chao Zuo,Jiaming Qian,Shijie Feng,Wei Yin,Yixuan Li,Pengfei Fan,Jing Han,Kemao Qian,Qian Chen +8 more
TL;DR: Deep learning-enabled optical metrology is a kind of data-driven approach, which has already provided numerous alternative solutions to many challenging problems in this field with better performances as discussed by the authors .
Journal ArticleDOI
Automatic detection of synaptic partners in a whole-brain Drosophila electron microscopy data set.
Julia Buhmann,Arlo Sheridan,Caroline Malin-Mayor,Philipp Schlegel,Stephan Gerhard,Tom Kazimiers,Renate Krause,Tri Nguyen,Larissa Heinrich,Wei-Chung Allen Lee,Rachel Wilson,Stephan Saalfeld,Gregory S.X.E. Jefferis,Davi D. Bock,Srinivas C. Turaga,Matthew Cook,Jan Funke +16 more
TL;DR: In this article, a method for synaptic partner identification in insect brains and use it to predict synaptic partners in a whole-brain electron microscopy dataset of the fruit fly was developed.
Journal ArticleDOI
Roadmap on holography
John T. Sheridan,Raymond K. Kostuk,Antonio Fimia Gil,Yongtian Wang,W. Lu,Haizheng Zhong,Yasuo Tomita,Cristian Neipp,Jorge Francés,Sergi Gallego,Inmaculada Pascual,Vera Marinova,Vera Marinova,Shiuan-Huei Lin,Ken-Yuh Hsu,F. Bruder,S. Hansen,C. Manecke,R. Meisenheimer,C. Rewitz,T. Rölle,Sergey B. Odinokov,Osamu Matoba,Manoj Kumar,Xiangyu Quan,Yasuhiro Awatsuji,Przemyslaw Wachulak,Alina V. Gorelaya,Alexander Sevryugin,Egor V. Shalymov,V. Yu. Venediktov,R. Chmelik,Maria Antonietta Ferrara,Giuseppe Coppola,Andrés Márquez,Augusto Beléndez,Weijian Yang,Rafael Yuste,Rafael Yuste,A. Bianco,Alessio Zanutta,C. Falldorf,John J. Healy,X. Fan,Bryan M. Hennelly,I. Zhurminsky,M. Schnieper,R. Ferrini,S. Fricke,Guohai Situ,Honggeng Wang,A. S. Abdurashitov,A. S. Abdurashitov,V. V. Tuchin,N. V. Petrov,Takanori Nomura,Derek R. Morim,Kalaichelvi Saravanamuttu +57 more
TL;DR: John T Sheridan, Raymond K Kostuk2, Antonio Fimia Gil, Y Wang4, W Lu4, H Zhong4, Y Tomita5, C Neipp6, J Francés6, S Gallego6, I Pascual6, V Marinova7,8, S-H Lin7, K-Y Hsu7, F Bruder9, S Hansen9, C Manecke9, R Meisenheimer
Journal ArticleDOI
Smart computational light microscopes (SCLMs) of smart computational imaging laboratory (SCILab)
Fan Yao,Jiaji Li,Linpeng Lu,Jiasong Sun,Hu Yan,Jialin Zhang,Zhuoshi Li,Qian Shen,Bowen Wang,Runnan Zhang,Chen Qian,Chao Zuo +11 more
TL;DR: Four smart computational light microscopes (SCLMs) developed by the SCILab of Nanjing University of Science and Technology, China are presented, empowered by advanced computational microscopy techniques, which not only enables multi-modal contrast-enhanced observations for unstained specimens, but also can recover their three-dimensional profiles quantitatively.
References
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Journal ArticleDOI
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