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pro vyhledávání: '"Myers, Eugene"'
Autor:
Vinogradova, Kira, Myers, Eugene W.
Publikováno v:
IEEE, 2022 7th International Conference on Frontiers of Signal Processing (ICFSP)
The quality of microscopy images often suffers from optical aberrations. These aberrations and their associated point spread functions have to be quantitatively estimated to restore aberrated images. The recent state-of-the-art method PhaseNet, based
Externí odkaz:
http://arxiv.org/abs/2209.07911
Autor:
Saha, Debayan, Schmidt, Uwe, Zhang, Qinrong, Barbotin, Aurelien, Hu, Qi, Ji, Na, Booth, Martin J., Weigert, Martin, Myers, Eugene W.
Estimation of optical aberrations from volumetric intensity images is a key step in sensorless adaptive optics for 3D microscopy. Recent approaches based on deep learning promise accurate results at fast processing speeds. However, collecting ground
Externí odkaz:
http://arxiv.org/abs/2006.01804
Akademický článek
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Sample-induced image-degradation remains an intricate wave-optical problem in light-sheet microscopy. Here we present biobeam, an open-source software package that enables to simulate operational light-sheet microscopes by combining data from 10^5 -
Externí odkaz:
http://arxiv.org/abs/1706.02261
Autor:
Rempfler, Markus, Lange, Jan-Hendrik, Jug, Florian, Blasse, Corinna, Myers, Eugene W., Menze, Bjoern H., Andres, Bjoern
Lineage tracing, the joint segmentation and tracking of living cells as they move and divide in a sequence of light microscopy images, is a challenging task. Jug et al. have proposed a mathematical abstraction of this task, the moral lineage tracing
Externí odkaz:
http://arxiv.org/abs/1702.04111
Publikováno v:
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016, pp. 5926-5935
Lineage tracing, the tracking of living cells as they move and divide, is a central problem in biological image analysis. Solutions, called lineage forests, are key to understanding how the structure of multicellular organisms emerges. We propose an
Externí odkaz:
http://arxiv.org/abs/1511.05512
We consider the task of pixel-wise semantic segmentation given a small set of labeled training images. Among two of the most popular techniques to address this task are Decision Forests (DF) and Neural Networks (NN). In this work, we explore the rela
Externí odkaz:
http://arxiv.org/abs/1507.07583
Akademický článek
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Autor:
Preibisch, Stephan, Amat, Fernando, Stamataki, Evangelia, Sarov, Mihail, Singer, Robert H., Myers, Eugene, Tomancak, Pavel
Light sheet fluorescence microscopy is able to image large specimen with high resolution by imaging the sam- ples from multiple angles. Multi-view deconvolution can significantly improve the resolution and contrast of the images, but its application
Externí odkaz:
http://arxiv.org/abs/1308.0730
We propose a metric for the space of multiple sequence alignments that can be used to compare two alignments to each other. In the case where one of the alignments is a reference alignment, the resulting accuracy measure improves upon previous approa
Externí odkaz:
http://arxiv.org/abs/q-bio/0510052