Zobrazeno 1 - 10
of 684
pro vyhledávání: '"Hübner Wolfgang"'
Autor:
Descloux Adrien, Müller Marcel, Navikas Vytautas, Markwirth Andreas, van den Eynde Robin, Lukes Tomas, Hübner Wolfgang, Lasser Theo, Radenovic Aleksandra, Dedecker Peter, Huser Thomas
Publikováno v:
Nanophotonics, Vol 9, Iss 1, Pp 143-148 (2019)
Super-resolution structured illumination microscopy (SR-SIM) can be conducted at video-rate acquisition speeds when combined with high-speed spatial light modulators and sCMOS cameras, rendering it particularly suitable for live-cell imaging. If, how
Externí odkaz:
https://doaj.org/article/c0346ac8f9ae403ba9eedfd0807759a9
Autor:
Zhang, G. P., Liu, Y. Q., Si, M. S., Allbritton, Nicholas, Bai, Y. H., Hübner, Wolfgang, George, Thomas F.
All-optical spin switching (AOS) is a new phenomenon found in a small group of magnetic media, where a single laser pulse can switch spins from one direction to another, without assistance of a magnetic field, on a time scale much shorter than existi
Externí odkaz:
http://arxiv.org/abs/2406.11099
An appropriate data basis grants one of the most important aspects for training and evaluating probabilistic trajectory prediction models based on neural networks. In this regard, a common shortcoming of current benchmark datasets is their limitation
Externí odkaz:
http://arxiv.org/abs/2404.04397
Autor:
Øie Cristina I., Mönkemöller Viola, Hübner Wolfgang, Schüttpelz Mark, Mao Hong, Ahluwalia Balpreet S., Huser Thomas R., McCourt Peter
Publikováno v:
Nanophotonics, Vol 7, Iss 3, Pp 575-596 (2018)
Super-resolution fluorescence microscopy, also known as nanoscopy, has provided us with a glimpse of future impacts on cell biology. Far-field optical nanoscopy allows, for the first time, the study of sub-cellular nanoscale biological structures in
Externí odkaz:
https://doaj.org/article/bdb39a2b39454fcb8b0ad8288e648d43
Data pooling offers various advantages, such as increasing the sample size, improving generalization, reducing sampling bias, and addressing data sparsity and quality, but it is not straightforward and may even be counterproductive. Assessing the eff
Externí odkaz:
http://arxiv.org/abs/2311.09768
Probabilistic models for sequential data are the basis for a variety of applications concerned with processing timely ordered information. The predominant approach in this domain is given by recurrent neural networks, implementing either an approxima
Externí odkaz:
http://arxiv.org/abs/2205.01754