Zobrazeno 1 - 10
of 116
pro vyhledávání: '"Midtvedt, Daniel"'
Autor:
Bachimanchi, Harshith, Pinder, Matthew I. M., Robert, Chloé, De Wit, Pierre, Havenhand, Jonathan, Kinnby, Alexandra, Midtvedt, Daniel, Selander, Erik, Volpe, Giovanni
The implementation of deep learning algorithms has brought new perspectives to plankton ecology. Emerging as an alternative approach to established methods, deep learning offers objective schemes to investigate plankton organisms in diverse environme
Externí odkaz:
http://arxiv.org/abs/2309.08500
Autor:
Olsén, Erik, Garcia, Berenice, Skärberg, Fredrik, Parkkila, Petteri, Volpe, Giovanni, Höök, Fredrik, Midtvedt, Daniel
Traditional single-nanoparticle sizing using optical microscopy techniques assesses size via the diffusion constant, which requires suspended particles in a medium of known viscosity. However, these assumptions are typically not fulfilled in complex
Externí odkaz:
http://arxiv.org/abs/2309.07572
Autor:
Olsén, Erik, Midtvedt, Benjamin, González, Adrián, Eklund, Fredrik, Ranoszek-Soliwoda, Katarzyna, Grobelny, Jaroslaw, Volpe, Giovanni, Krzyzowska, Malgorzata, Höök, Fredrik, Midtvedt, Daniel
The interaction between metallic and biological nanoparticles (NPs) is widely used in various biotechnology and biomedical applications. However, detailed characterization of this type of interaction is challenging due to a lack of high-throughput te
Externí odkaz:
http://arxiv.org/abs/2304.07636
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:
Midtvedt, Benjamin, Pineda, Jesús, Skärberg, Fredrik, Olsén, Erik, Bachimanchi, Harshith, Wesén, Emelie, Esbjörner, Elin K., Selander, Erik, Höök, Fredrik, Midtvedt, Daniel, Volpe, Giovanni
Particle tracking is a fundamental task in digital microscopy. Recently, machine-learning approaches have made great strides in overcoming the limitations of more classical approaches. The training of state-of-the-art machine-learning methods almost
Externí odkaz:
http://arxiv.org/abs/2202.13546
The marine microbial food web plays a central role in the global carbon cycle. Our mechanistic understanding of the ocean, however, is biased towards its larger constituents, while rates and biomass fluxes in the microbial food web are mainly inferre
Externí odkaz:
http://arxiv.org/abs/2202.09046
Autor:
Pineda, Jesús, Midtvedt, Benjamin, Bachimanchi, Harshith, Noé, Sergio, Midtvedt, Daniel, Volpe, Giovanni, Manzo, Carlo
The characterization of dynamical processes in living systems provides important clues for their mechanistic interpretation and link to biological functions. Thanks to recent advances in microscopy techniques, it is now possible to routinely record t
Externí odkaz:
http://arxiv.org/abs/2202.06355
Autor:
Helgadottir, Saga, Midtvedt, Benjamin, Pineda, Jesús, Sabirsh, Alan, Adiels, Caroline B., Romeo, Stefano, Midtvedt, Daniel, Volpe, Giovanni
Quantitative analysis of cell structures is essential for biomedical and pharmaceutical research. The standard imaging approach relies on fluorescence microscopy, where cell structures of interest are labeled by chemical staining techniques. However,
Externí odkaz:
http://arxiv.org/abs/2012.12986
Autor:
Midtvedt, Benjamin, Helgadottir, Saga, Argun, Aykut, Pineda, Jesús, Midtvedt, Daniel, Volpe, Giovanni
Video microscopy has a long history of providing insights and breakthroughs for a broad range of disciplines, from physics to biology. Image analysis to extract quantitative information from video microscopy data has traditionally relied on algorithm
Externí odkaz:
http://arxiv.org/abs/2010.08260
Autor:
Midtvedt, Benjamin, Olsén, Erik, Eklund, Fredrik, Höök, Fredrik, Adiels, Caroline Beck, Volpe, Giovanni, Midtvedt, Daniel
The characterisation of the physical properties of nanoparticles in their native environment plays a central role in a wide range of fields, from nanoparticle-enhanced drug delivery to environmental nanopollution assessment. Standard optical approach
Externí odkaz:
http://arxiv.org/abs/2006.11154