Zobrazeno 1 - 10
of 956
pro vyhledávání: '"Rivenson, A."'
Autor:
Isil, Cagatay, Koydemir, Hatice Ceylan, Eryilmaz, Merve, de Haan, Kevin, Pillar, Nir, Mentesoglu, Koray, Unal, Aras Firat, Rivenson, Yair, Chandrasekaran, Sukantha, Garner, Omai B., Ozcan, Aydogan
Gram staining has been one of the most frequently used staining protocols in microbiology for over a century, utilized across various fields, including diagnostics, food safety, and environmental monitoring. Its manual procedures make it vulnerable t
Externí odkaz:
http://arxiv.org/abs/2407.12337
Autor:
Volpe, Giovanni, Wählby, Carolina, Tian, Lei, Hecht, Michael, Yakimovich, Artur, Monakhova, Kristina, Waller, Laura, Sbalzarini, Ivo F., Metzler, Christopher A., Xie, Mingyang, Zhang, Kevin, Lenton, Isaac C. D., Rubinsztein-Dunlop, Halina, Brunner, Daniel, Bai, Bijie, Ozcan, Aydogan, Midtvedt, Daniel, Wang, Hao, Sladoje, Nataša, Lindblad, Joakim, Smith, Jason T., Ochoa, Marien, Barroso, Margarida, Intes, Xavier, Qiu, Tong, Yu, Li-Yu, You, Sixian, Liu, Yongtao, Ziatdinov, Maxim A., Kalinin, Sergei V., Sheridan, Arlo, Manor, Uri, Nehme, Elias, Goldenberg, Ofri, Shechtman, Yoav, Moberg, Henrik K., Langhammer, Christoph, Špačková, Barbora, Helgadottir, Saga, Midtvedt, Benjamin, Argun, Aykut, Thalheim, Tobias, Cichos, Frank, Bo, Stefano, Hubatsch, Lars, Pineda, Jesus, Manzo, Carlo, Bachimanchi, Harshith, Selander, Erik, Homs-Corbera, Antoni, Fränzl, Martin, de Haan, Kevin, Rivenson, Yair, Korczak, Zofia, Adiels, Caroline Beck, Mijalkov, Mite, Veréb, Dániel, Chang, Yu-Wei, Pereira, Joana B., Matuszewski, Damian, Kylberg, Gustaf, Sintorn, Ida-Maria, Caicedo, Juan C., Cimini, Beth A, Bell, Muyinatu A. Lediju, Saraiva, Bruno M., Jacquemet, Guillaume, Henriques, Ricardo, Ouyang, Wei, Le, Trang, Gómez-de-Mariscal, Estibaliz, Sage, Daniel, Muñoz-Barrutia, Arrate, Lindqvist, Ebba Josefson, Bergman, Johanna
Through digital imaging, microscopy has evolved from primarily being a means for visual observation of life at the micro- and nano-scale, to a quantitative tool with ever-increasing resolution and throughput. Artificial intelligence, deep neural netw
Externí odkaz:
http://arxiv.org/abs/2303.03793
Autor:
Bai, Bijie, Wang, Hongda, Li, Yuzhu, de Haan, Kevin, Colonnese, Francesco, Wan, Yujie, Zuo, Jingyi, Doan, Ngan B., Zhang, Xiaoran, Zhang, Yijie, Li, Jingxi, Dong, Wenjie, Darrow, Morgan Angus, Kamangar, Elham, Lee, Han Sung, Rivenson, Yair, Ozcan, Aydogan
Publikováno v:
BME Frontiers (2022)
The immunohistochemical (IHC) staining of the human epidermal growth factor receptor 2 (HER2) biomarker is widely practiced in breast tissue analysis, preclinical studies and diagnostic decisions, guiding cancer treatment and investigation of pathoge
Externí odkaz:
http://arxiv.org/abs/2112.05240
Publikováno v:
Light: Science & Applications (2021)
We report the design of diffractive surfaces to all-optically perform arbitrary complex-valued linear transformations between an input (N_i) and output (N_o), where N_i and N_o represent the number of pixels at the input and output fields-of-view (FO
Externí odkaz:
http://arxiv.org/abs/2108.09833
Publikováno v:
Scientific Reports (2022)
Diffractive optical networks unify wave optics and deep learning to all-optically compute a given machine learning or computational imaging task as the light propagates from the input to the output plane. Here, we report the design of diffractive opt
Externí odkaz:
http://arxiv.org/abs/2108.07977
Autor:
Luo, Yi, Zhao, Yifan, Li, Jingxi, Cetintas, Ege, Rivenson, Yair, Jarrahi, Mona, Ozcan, Aydogan
Publikováno v:
eLight (2022)
Imaging through diffusers presents a challenging problem with various digital image reconstruction solutions demonstrated to date using computers. We present a computer-free, all-optical image reconstruction method to see through random diffusers at
Externí odkaz:
http://arxiv.org/abs/2107.06586
Autor:
Zhang, Yijie, Liu, Tairan, Singh, Manmohan, Luo, Yilin, Rivenson, Yair, Larin, Kirill V., Ozcan, Aydogan
Publikováno v:
Light: Science & Applications (2021)
Optical Coherence Tomography (OCT) is a widely used non-invasive biomedical imaging modality that can rapidly provide volumetric images of samples. Here, we present a deep learning-based image reconstruction framework that can generate swept-source O
Externí odkaz:
http://arxiv.org/abs/2103.03877
Publikováno v:
ACS Photonics (2021)
Digital holography is one of the most widely used label-free microscopy techniques in biomedical imaging. Recovery of the missing phase information of a hologram is an important step in holographic image reconstruction. Here we demonstrate a convolut
Externí odkaz:
http://arxiv.org/abs/2102.12281
Autor:
Yang, Xilin, Huang, Luzhe, Luo, Yilin, Wu, Yichen, Wang, Hongda, Rivenson, Yair, Ozcan, Aydogan
Publikováno v:
ACS Photonics (2021)
We present a virtual image refocusing method over an extended depth of field (DOF) enabled by cascaded neural networks and a double-helix point-spread function (DH-PSF). This network model, referred to as W-Net, is composed of two cascaded generator
Externí odkaz:
http://arxiv.org/abs/2012.11892
Autor:
Brown, Calvin, Goncharov, Artem, Ballard, Zachary, Fordham, Mason, Clemens, Ashley, Qiu, Yunzhe, Rivenson, Yair, Ozcan, Aydogan
Publikováno v:
ACS Nano (2021)
Conventional spectrometers are limited by trade-offs set by size, cost, signal-to-noise ratio (SNR), and spectral resolution. Here, we demonstrate a deep learning-based spectral reconstruction framework, using a compact and low-cost on-chip sensing s
Externí odkaz:
http://arxiv.org/abs/2012.00878