Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Ali K. Al-Awami"'
Autor:
Daniel Haehn, John Hoffer, Brian Matejek, Adi Suissa-Peleg, Ali K. Al-Awami, Lee Kamentsky, Felix Gonda, Eagon Meng, William Zhang, Richard Schalek, Alyssa Wilson, Toufiq Parag, Johanna Beyer, Verena Kaynig, Thouis R. Jones, James Tompkin, Markus Hadwiger, Jeff W. Lichtman, Hanspeter Pfister
Publikováno v:
Informatics, Vol 4, Iss 3, p 29 (2017)
Connectomics has recently begun to image brain tissue at nanometer resolution, which produces petabytes of data. This data must be aligned, labeled, proofread, and formed into graphs, and each step of this process requires visualization for human ver
Externí odkaz:
https://doaj.org/article/6750feda017d4d63b2114e37d83cfaa2
Autor:
Markus Hadwiger, Ali K. Al-Awami, Haneen Mohammed, Marco Agus, Johanna Beyer, Hanspeter Pfister
Publikováno v:
IEEE Transactions on Visualization and Computer Graphics. 25:1132-1141
With the rapid increase in raw volume data sizes, such as terabyte-sized microscopy volumes, the corresponding segmentation label volumes have become extremely large as well. We focus on integer label data, whose efficient representation in memory, a
Publikováno v:
IEEE Transactions on Visualization and Computer Graphics. 24:974-983
Recent advances in data acquisition produce volume data of very high resolution and large size, such as terabyte-sized microscopy volumes. These data often contain many fine and intricate structures, which pose huge challenges for volume rendering, a
Autor:
Pierre J. Magistretti, Hanspeter Pfister, Corrado Calì, Ali K. Al-Awami, Johanna Beyer, Haneen Mohammed, Markus Hadwiger
This paper presents Abstractocyte , a system for the visual analysis of astrocytes and their relation to neurons, in nanoscale volumes of brain tissue. Astrocytes are glial cells, i.e., non-neuronal cells that support neurons and the nervous system.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::03ea31e0bd71e878456371281ffc848b
http://hdl.handle.net/2318/1729686
http://hdl.handle.net/2318/1729686
Autor:
Ali K. Al-Awami, Markus Hadwiger, Hanspeter Pfister, Jeff W. Lichtman, Narayanan Kasthuri, Hendrik Strobelt, Johanna Beyer
Publikováno v:
IEEE Transactions on Visualization and Computer Graphics. 20:2369-2378
We present NeuroLines, a novel visualization technique designed for scalable detailed analysis of neuronal connectivity at the nanoscale level. The topology of 3D brain tissue data is abstracted into a multi-scale, relative distance-preserving subway
Autor:
James Tompkin, Adi Suissa-Peleg, Hanspeter Pfister, William Zhang, Toufiq Parag, Thouis R. Jones, Alyssa Wilson, Johanna Beyer, Verena Kaynig, Felix Gonda, Brian Matejek, Ali K. Al-Awami, John Hoffer, Daniel Haehn, Jeff W. Lichtman, Richard Schalek, Eagon Meng, Lee Kamentsky, Markus Hadwiger
Publikováno v:
Informatics; Volume 4; Issue 3; Pages: 29
Informatics, Vol 4, Iss 3, p 29 (2017)
Informatics, Vol 4, Iss 3, p 29 (2017)
Connectomics has recently begun to image brain tissue at nanometer resolution, which produces petabytes of data. This data must be aligned, labeled, proofread, and formed into graphs, and each step of this process requires visualization for human ver
Autor:
Ali K. Al-Awami, Hanspeter Pfister, Narayanan Kasthuri, Markus Hadwiger, Jeff W. Lichtman, Johanna Beyer
This paper presents ConnectomeExplorer, an application for the interactive exploration and query-guided visual analysis of large volumetric electron microscopy (EM) data sets in connectomics research. Our system incorporates a knowledge-based query a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f7e398449ee6eb46d3e906e23949471a
https://europepmc.org/articles/PMC4296725/
https://europepmc.org/articles/PMC4296725/
Autor:
Markus Hadwiger, Narayanan Kasthuri, Hanspeter Pfister, Ali K. Al-Awami, Johanna Beyer, Jeff W. Lichtman, Won-Ki Jeong
Recent advances in high-resolution microscopy let neuroscientists acquire neural-tissue volume data of extremely large sizes. However, the tremendous resolution and the high complexity of neural structures present big challenges to storage, processin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::13dd64b2bd2b73c752c1d2745d818968
https://europepmc.org/articles/PMC4296712/
https://europepmc.org/articles/PMC4296712/