Zobrazeno 1 - 10
of 488
pro vyhledávání: '"Lichtman, Jeff W"'
Autor:
Gonda, Felix, Wang, Xueying, Beyer, Johanna, Hadwiger, Markus, Lichtman, Jeff W., Pfister, Hanspeter
A connectivity graph of neurons at the resolution of single synapses provides scientists with a tool for understanding the nervous system in health and disease. Recent advances in automatic image segmentation and synapse prediction in electron micros
Externí odkaz:
http://arxiv.org/abs/2105.06861
Autor:
Mi, Lu, Wang, Hao, Meirovitch, Yaron, Schalek, Richard, Turaga, Srinivas C., Lichtman, Jeff W., Samuel, Aravinthan D. T., Shavit, Nir
Single-beam scanning electron microscopes (SEM) are widely used to acquire massive data sets for biomedical study, material analysis, and fabrication inspection. Datasets are typically acquired with uniform acquisition: applying the electron beam wit
Externí odkaz:
http://arxiv.org/abs/2101.02746
Autor:
Wu, Jun Yao, Cho, Su-Ji, Descant, Katherine, Li, Peter H., Shapson-Coe, Alexander, Januszewski, Michal, Berger, Daniel R., Meyer, Cailyn, Casingal, Cristine, Huda, Ariba, Liu, Jiaqi, Ghashghaei, Tina, Brenman, Mikayla, Jiang, Michelle, Scarborough, Joseph, Pope, Art, Jain, Viren, Stein, Jason L., Guo, Jiami, Yasuda, Ryohei, Lichtman, Jeff W., Anton, E.S.
Publikováno v:
In Neuron 3 January 2024 112(1):41-55
Autor:
Karlupia, Neha, Schalek, Richard L., Wu, Yuelong, Meirovitch, Yaron, Wei, Donglai, Charney, Alexander W., Kopell, Brian H., Lichtman, Jeff W.
Publikováno v:
In Biological Psychiatry 15 August 2023 94(4):352-360
Autor:
Talwar, Abhimanyu, Lin, Zudi, Wei, Donglai, Wu, Yuesong, Zheng, Bowen, Zhao, Jinglin, Jang, Won-Dong, Wang, Xueying, Lichtman, Jeff W., Pfister, Hanspeter
Publikováno v:
Computer Vision for Microscopy Image Analysis: CVPR2020 workshop
One of the essential tasks in connectomics is the morphology analysis of neurons and organelles like mitochondria to shed light on their biological properties. However, these biological objects often have tangled parts or complex branching patterns,
Externí odkaz:
http://arxiv.org/abs/1909.12887
Akademický článek
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Akademický článek
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Autor:
Parag, Toufiq, Berger, Daniel, Kamentsky, Lee, Staffler, Benedikt, Wei, Donglai, Helmstaedter, Moritz, Lichtman, Jeff W., Pfister, Hanspeter
Synaptic connectivity detection is a critical task for neural reconstruction from Electron Microscopy (EM) data. Most of the existing algorithms for synapse detection do not identify the cleft location and direction of connectivity simultaneously. Th
Externí odkaz:
http://arxiv.org/abs/1807.02739
Autor:
Parag, Toufiq, Tschopp, Fabian, Grisaitis, William, Turaga, Srinivas C, Zhang, Xuewen, Matejek, Brian, Kamentsky, Lee, Lichtman, Jeff W., Pfister, Hanspeter
The field of connectomics has recently produced neuron wiring diagrams from relatively large brain regions from multiple animals. Most of these neural reconstructions were computed from isotropic (e.g., FIBSEM) or near isotropic (e.g., SBEM) data. In
Externí odkaz:
http://arxiv.org/abs/1707.08935
Autor:
Rolnick, David, Meirovitch, Yaron, Parag, Toufiq, Pfister, Hanspeter, Jain, Viren, Lichtman, Jeff W., Boyden, Edward S., Shavit, Nir
Deep learning algorithms for connectomics rely upon localized classification, rather than overall morphology. This leads to a high incidence of erroneously merged objects. Humans, by contrast, can easily detect such errors by acquiring intuition for
Externí odkaz:
http://arxiv.org/abs/1705.10882