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  3. Roadmap on Deep Learni...

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Roadmap on Deep Learning for Microscopy

G. Volpe, C. Wählby, L. Tian, M. Hecht, A. Yakimovich, K. Monakhova, L. Waller, I. Sbalzarini, C. Metzler, M. Xie, K. Zhang, I. Lenton, H. Rubinsztein-Dunlop, D. Brunner, B. Bai, A. Ozcan, D. Midtvedt, H. Wang, N. Sladoje, J. Lindblad, J. Smith, M. Ochoa, M. Barroso, X. Intes, T. Qiu, L. Yu, S. You, Y. Liu, M. Ziatdinov, S. Kalinin, A. Sheridan, U. Manor, E. Nehme, O. Goldenberg, Y. Shechtman, H. Moberg, C. Langhammer, B. Špačková, S. Helgadottir, B. Midtvedt, A. Argun, T. Thalheim, F. Cichos, S. Bo, L. Hubatsch, J. Pineda, C. Manzo, H. Bachimanchi, E. Selander, A. Homs-Corbera, M. Fränzl, K. de Haan, Y. Rivenson, Z. Korczak, C. Adiels, M. Mijalkov, D. Veréb, Y. Chang, J. Pereira, D. Matuszewski, G. Kylberg, I. Sintorn, J. Caicedo, B. Cimini, M. Bell, B. Saraiva, G. Jacquemet, R. Henriques, W. Ouyang, T. Le, E. de Mariscal, D. Sage, A. Muñoz-Barrutia, E. Lindqvist, and J. Bergman. (2023)

Links and resources

BibTeX key
volpe2023roadmapdeeplearningmicroscopy
entry type
misc
year
2023
eprint
2303.03793
archiveprefix
arXiv
primaryclass
physics.optics
url
https://arxiv.org/abs/2303.03793

Tags

  • Deep_Learning
  • Microscopy
  • Roadmap
  • zno

Cite this publication

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%0 Generic %1 volpe2023roadmapdeeplearningmicroscopy %A Volpe, Giovanni %A Wählby, Carolina %A Tian, Lei %A Hecht, Michael %A Yakimovich, Artur %A Monakhova, Kristina %A Waller, Laura %A Sbalzarini, Ivo F. %A Metzler, Christopher A. %A Xie, Mingyang %A Zhang, Kevin %A Lenton, Isaac C. D. %A Rubinsztein-Dunlop, Halina %A Brunner, Daniel %A Bai, Bijie %A Ozcan, Aydogan %A Midtvedt, Daniel %A Wang, Hao %A Sladoje, Nataša %A Lindblad, Joakim %A Smith, Jason T. %A Ochoa, Marien %A Barroso, Margarida %A Intes, Xavier %A Qiu, Tong %A Yu, Li-Yu %A You, Sixian %A Liu, Yongtao %A Ziatdinov, Maxim A. %A Kalinin, Sergei V. %A Sheridan, Arlo %A Manor, Uri %A Nehme, Elias %A Goldenberg, Ofri %A Shechtman, Yoav %A Moberg, Henrik K. %A Langhammer, Christoph %A Špačková, Barbora %A Helgadottir, Saga %A Midtvedt, Benjamin %A Argun, Aykut %A Thalheim, Tobias %A Cichos, Frank %A Bo, Stefano %A Hubatsch, Lars %A Pineda, Jesus %A Manzo, Carlo %A Bachimanchi, Harshith %A Selander, Erik %A Homs-Corbera, Antoni %A Fränzl, Martin %A de Haan, Kevin %A Rivenson, Yair %A Korczak, Zofia %A Adiels, Caroline Beck %A Mijalkov, Mite %A Veréb, Dániel %A Chang, Yu-Wei %A Pereira, Joana B. %A Matuszewski, Damian %A Kylberg, Gustaf %A Sintorn, Ida-Maria %A Caicedo, Juan C. %A Cimini, Beth A %A Bell, Muyinatu A. Lediju %A Saraiva, Bruno M. %A Jacquemet, Guillaume %A Henriques, Ricardo %A Ouyang, Wei %A Le, Trang %A de Mariscal, Estibaliz Gómez %A Sage, Daniel %A Muñoz-Barrutia, Arrate %A Lindqvist, Ebba Josefson %A Bergman, Johanna %D 2023 %K Deep_Learning Microscopy Roadmap zno %T Roadmap on Deep Learning for Microscopy %U https://arxiv.org/abs/2303.03793
@misc{volpe2023roadmapdeeplearningmicroscopy, added-at = {2025-03-27T11:46:40.000+0100}, archiveprefix = {arXiv}, author = {Volpe, Giovanni and Wählby, Carolina and Tian, Lei and Hecht, Michael and Yakimovich, Artur and Monakhova, Kristina and Waller, Laura and Sbalzarini, Ivo F. and Metzler, Christopher A. and Xie, Mingyang and Zhang, Kevin and Lenton, Isaac C. D. and Rubinsztein-Dunlop, Halina and Brunner, Daniel and Bai, Bijie and Ozcan, Aydogan and Midtvedt, Daniel and Wang, Hao and Sladoje, Nataša and Lindblad, Joakim and Smith, Jason T. and Ochoa, Marien and Barroso, Margarida and Intes, Xavier and Qiu, Tong and Yu, Li-Yu and You, Sixian and Liu, Yongtao and Ziatdinov, Maxim A. and Kalinin, Sergei V. and Sheridan, Arlo and Manor, Uri and Nehme, Elias and Goldenberg, Ofri and Shechtman, Yoav and Moberg, Henrik K. and Langhammer, Christoph and Špačková, Barbora and Helgadottir, Saga and Midtvedt, Benjamin and Argun, Aykut and Thalheim, Tobias and Cichos, Frank and Bo, Stefano and Hubatsch, Lars and Pineda, Jesus and Manzo, Carlo and Bachimanchi, Harshith and Selander, Erik and Homs-Corbera, Antoni and Fränzl, Martin and de Haan, Kevin and Rivenson, Yair and Korczak, Zofia and Adiels, Caroline Beck and Mijalkov, Mite and Veréb, Dániel and Chang, Yu-Wei and Pereira, Joana B. and Matuszewski, Damian and Kylberg, Gustaf and Sintorn, Ida-Maria and Caicedo, Juan C. and Cimini, Beth A and Bell, Muyinatu A. Lediju and Saraiva, Bruno M. and Jacquemet, Guillaume and Henriques, Ricardo and Ouyang, Wei and Le, Trang and de Mariscal, Estibaliz Gómez and Sage, Daniel and Muñoz-Barrutia, Arrate and Lindqvist, Ebba Josefson and Bergman, Johanna}, biburl = {https://puma.scadsai.uni-leipzig.de/bibtex/27fbde19fab71429f5337bccb981b6a7c/scadsfct}, eprint = {2303.03793}, interhash = {23a0ac6c211911639b350193ce1df251}, intrahash = {7fbde19fab71429f5337bccb981b6a7c}, keywords = {Deep_Learning Microscopy Roadmap zno}, primaryclass = {physics.optics}, timestamp = {2025-07-29T10:29:15.000+0200}, title = {Roadmap on Deep Learning for Microscopy}, url = {https://arxiv.org/abs/2303.03793}, year = 2023 }

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