Literatura académica sobre el tema "Single neuron imaging"
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Artículos de revistas sobre el tema "Single neuron imaging"
Chen, Pei-Ju, Yan Li y Chi-Hon Lee. "Calcium Imaging of Neural Activity in Fly Photoreceptors". Cold Spring Harbor Protocols 2022, n.º 7 (31 de mayo de 2022): pdb.top107800. http://dx.doi.org/10.1101/pdb.top107800.
Texto completoWang, Yangzhen, Feng Su, Shanshan Wang, Chaojuan Yang, Yonglu Tian, Peijiang Yuan, Xiaorong Liu, Wei Xiong y Chen Zhang. "Efficient implementation of convolutional neural networks in the data processing of two-photon in vivo imaging". Bioinformatics 35, n.º 17 (23 de enero de 2019): 3208–10. http://dx.doi.org/10.1093/bioinformatics/btz055.
Texto completoYang, Jian, Yong Zhang, Yuanlin Yu y Ning Zhong. "Nested U-Net Architecture Based Image Segmentation for 3D Neuron Reconstruction". Journal of Medical Imaging and Health Informatics 11, n.º 5 (1 de mayo de 2021): 1348–56. http://dx.doi.org/10.1166/jmihi.2021.3379.
Texto completoKeliris, Georgios A., Qinglin Li, Amalia Papanikolaou, Nikos K. Logothetis y Stelios M. Smirnakis. "Estimating average single-neuron visual receptive field sizes by fMRI". Proceedings of the National Academy of Sciences 116, n.º 13 (13 de marzo de 2019): 6425–34. http://dx.doi.org/10.1073/pnas.1809612116.
Texto completoNing, Kefu, Xiaoyu Zhang, Xuefei Gao, Tao Jiang, He Wang, Siqi Chen, Anan Li y Jing Yuan. "Deep-learning-based whole-brain imaging at single-neuron resolution". Biomedical Optics Express 11, n.º 7 (8 de junio de 2020): 3567. http://dx.doi.org/10.1364/boe.393081.
Texto completoKalaska, John F. "Emerging ideas and tools to study the emergent properties of the cortical neural circuits for voluntary motor control in non-human primates". F1000Research 8 (29 de mayo de 2019): 749. http://dx.doi.org/10.12688/f1000research.17161.1.
Texto completoHogg, Peter W. y Kurt Haas. "Bulk Dye Loading for In Vivo Calcium Imaging of Visual Responses in Populations of Xenopus Tectal Neurons". Cold Spring Harbor Protocols 2022, n.º 1 (29 de marzo de 2021): pdb.prot106831. http://dx.doi.org/10.1101/pdb.prot106831.
Texto completoKoyano, Kenji W., Akinori Machino, Masaki Takeda, Teppei Matsui, Ryoko Fujimichi, Yohei Ohashi y Yasushi Miyashita. "In vivo visualization of single-unit recording sites using MRI-detectable elgiloy deposit marking". Journal of Neurophysiology 105, n.º 3 (marzo de 2011): 1380–92. http://dx.doi.org/10.1152/jn.00358.2010.
Texto completoTetzlaff, Svenja, Joaquín Campos, Linh Nguyen, Christopher Strahle, Wolfgang Wick, Thomas Kuner, Frank Winkler, Claudio Acuna y Varun Venkataramani. "CNSC-21. CHARACTERIZATION OF NEURON-TUMOR INTERACTIONS USING HUMAN CO-CULTURES". Neuro-Oncology 24, Supplement_7 (1 de noviembre de 2022): vii26. http://dx.doi.org/10.1093/neuonc/noac209.102.
Texto completoMatsuda, Takahiko y Izumi Oinuma. "Imaging endogenous synaptic proteins in primary neurons at single-cell resolution using CRISPR/Cas9". Molecular Biology of the Cell 30, n.º 22 (15 de octubre de 2019): 2838–55. http://dx.doi.org/10.1091/mbc.e19-04-0223.
Texto completoTesis sobre el tema "Single neuron imaging"
Murphy-Royal, Ciaran. "Surface diffusion of the astrocytic glutamate transporter glt-1 shapes synaptic transmission". Thesis, Bordeaux, 2014. http://www.theses.fr/2014BORD0113/document.
Texto completoA classic understanding of neurotransmitter clearance at glutamatergic synapses is that, in order to ensure sufficient glutamate uptake on a fast timescale, it is necessary to have high numbers of glutamate transporters in the vicinity of release sites to compensate for their slow transport kinetics. Using a combination of single molecule imaging and electrophysiological approaches, we now challenge this view by first demonstrating that GLT-1 transporters are not static but highly mobile at the surface of astrocytes, and that their surface diffusion is dependent upon both neuronal and glial cell activities. In the vicinity of glutamate synapses, GLT-1 dynamics are strongly reduced favoring their retention within this strategic location. Remarkably, glutamate uncaging at synaptic sites instantaneously increases GLT-1 diffusion, displacing the glutamate-bound transporter away from this compartment. Functionally, impairment of the transporter lateral diffusion through an antibody-based surface cross linking, both in vitro and in vivo, significantly slows the kinetics of excitatory postsynaptic currents. Taken together, these data reveal the unexpected and major role of the astrocytic surface GLT-1 fast dynamics in shaping glutamatergic synaptic transmission.Keywords:
Kubler, Samuel. "Statistical methods for the robust extraction of objects’ spatio-temporal relations in bioimaging – Application to the functional analysis of neuronal networks in vivo". Electronic Thesis or Diss., Sorbonne université, 2023. http://www.theses.fr/2023SORUS455.
Texto completoThe neural code, i.e. how interconnected neurons can perform complex operations, allowing the quick adaptation of animals to their environment, remains an open question and an intensive field of research both in experimental and computational neurosciences. Advances in molecular biology and microscopy have recently made it possible to monitor the activity of individual neurons in living animals and, in the case of small animals containing only a few thousands of neurons, to measure the activity of the entire nervous system. However, the mathematical framework that would bridge the gap between single neuron activity and the emergent computational properties of neuronal ensembles is missing.In the thesis manuscript, we introduce a sequential statistical processing pipeline that efficiently and robustly extracts neuronal ensembles from calcium imagery of neuronal activity. In particular, we develop a Bayesian inference framework based on a biologically interpretable model to extract neuronal ensembles characterized by noise, asynchrony and overlapping. The provided tool demonstrates that a Gibbs sampling routine can efficiently estimate statistical parameters and hidden variables to uncover neuronal ensembles based on synchronization patterns both on synthetic data and on various experimental datasets from mice and zebrafish visual cortex to Hydra Vulgaris. The thesis equally develops a point process statistical framework to quantify how neuronal ensembles encode evoked stimuli or spontaneous behaviors in living animals. This versatile tool is also used for the inference of the functional connectivity of neuronal activity or the automatically calibration procedure of the spike inference algorithms applied to calcium recordings. For the providing algorithms to be largely spread in the neurobiologist community, results are supported by interpretable biological estimates, statistical evidence, rigorous mathematical proofs, and free-available software. Our contributive implementation, that goes from pixel intensity to estimated neuronal ensembles, equally identify from the synchronous firing patterns of neuronal ensembles, neurons with specific roles that can be used to predict, improve, or alter the behaviors of living animals. The provided framework unravels the emergence of collective properties from the recording of extremely varying individual signals that make the neural code still elusive
Crépeau, Joël. "Development of a single-mode interstitial rotary probe for In Vivo deep brain fluorescence imaging". Thesis, Université Laval, 2013. http://www.theses.ulaval.ca/2013/29428/29428.pdf.
Texto completoThis thesis documents the expertise developed by the author at the Centre de recherchede l’Institut universitaire en santé mentale de Québec (CRIUSMQ) in fibered endoscopy,particularly the design and construction of a new kind of optical microscope: ThePanoramic Interstitial Microscope (PIM). Through the juxtaposition of a short piece ofGraded-Index fibre and a prism at the end of a single-mode fibre, laser light is focussedon the side of the probe. To form an image, the latter is quickly spun around its axiswhile it is being pulled vertically by a piezoelectric actuator. This minimally invasivefluorescence rotary interstitial imaging system is an endeavor to limit the damage causedby the probe while imaging enough tissue to provide good context to the user in deep brain optical imaging.
Meissner, Nancy A. Meissner. "A Single-Subject Evaluation of Facilitated Communicationin the Completion of School-Assigned Homework". Antioch University / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=antioch1521038309724555.
Texto completo"Automatic Segmentation of Single Neurons Recorded by Wide-Field Imaging Using Frequency Domain Features and Clustering Tree". Master's thesis, 2016. http://hdl.handle.net/2286/R.I.40696.
Texto completoDissertation/Thesis
Masters Thesis Electrical Engineering 2016
Jeans, Rhiannon. "Form perception and neural feedback: insights from V1 and V2". Thesis, 2014. http://hdl.handle.net/1885/12731.
Texto completoTran, Le Thuy Van. "Dynamics of evoked and spontaneous calcium transients in synaptic boutons of neocortical pyramidal neurons". Phd thesis, 2017. http://hdl.handle.net/1885/133756.
Texto completoLibros sobre el tema "Single neuron imaging"
Yoshiaki, Iwamura, Rowe Mark y International Union of Physiological Sciences. Congress, eds. Somatosensory processing: From single neuron to brain imaging. Amsterdam: Harwood Academic Publishers, 2001.
Buscar texto completoRowe, Mark y Yoshiaki Iwamura. Somatosensory Processing: From Single Neuron to Brain Imaging. Taylor & Francis Group, 2001.
Buscar texto completoRowe, Mark y Yoshiaki Iwamura. Somatosensory Processing: From Single Neuron to Brain Imaging. Taylor & Francis Group, 2001.
Buscar texto completo(Editor), Mark Rowe y Yoshiaki Iwamura (Editor), eds. Somatosensory Processing: From Single Neuron to Brain Imaging. CRC, 2001.
Buscar texto completoRowe, Mark y Yoshiaki Iwamura. Somatosensory Processing: From Single Neuron to Brain Imaging. Taylor & Francis Group, 2001.
Buscar texto completoRowe, Mark y Yoshiaki Iwamura. Somatosensory Processing: From Single Neuron to Brain Imaging. Taylor & Francis Group, 2001.
Buscar texto completoRowe, Mark, Yoshiaki Iwamura y Yoshiaki Iwamua. Somatosensory Processing: From Single Neuron to Brain Imaging. Taylor & Francis Group, 2001.
Buscar texto completoBoothroyd, Andrew T. Principles of Neutron Scattering from Condensed Matter. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780198862314.001.0001.
Texto completoSeeck, Margitta, L. Spinelli, Jean Gotman y Fernando H. Lopes da Silva. Combination of Brain Functional Imaging Techniques. Editado por Donald L. Schomer y Fernando H. Lopes da Silva. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190228484.003.0046.
Texto completoRoberts, Timothy P. L. y Luke Bloy. Neuroimaging in Pediatric Psychiatric Disorders. Editado por Dennis S. Charney, Eric J. Nestler, Pamela Sklar y Joseph D. Buxbaum. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190681425.003.0060.
Texto completoCapítulos de libros sobre el tema "Single neuron imaging"
Backhaus, Hendrik, Nicolas Ruffini, Anna Wierczeiko y Albrecht Stroh. "An All-Optical Physiology Pipeline Toward Highly Specific and Artifact-Free Circuit Mapping". En Neuromethods, 137–63. New York, NY: Springer US, 2023. http://dx.doi.org/10.1007/978-1-0716-2764-8_5.
Texto completoShim, Jae Youn, Byung Hun Lee y Hye Yoon Park. "Visualization of Single mRNAs in Live Neurons". En Imaging Gene Expression, 47–61. New York, NY: Springer New York, 2019. http://dx.doi.org/10.1007/978-1-4939-9674-2_4.
Texto completoOzbay, Baris N., Gregory L. Futia, Ming Ma, Connor McCullough, Michael D. Young, Diego Restrepo y Emily A. Gibson. "Miniature Multiphoton Microscopes for Recording Neural Activity in Freely Moving Animals". En Neuromethods, 187–230. New York, NY: Springer US, 2023. http://dx.doi.org/10.1007/978-1-0716-2764-8_7.
Texto completoNakanishi, Tomoko M. "Water-Specific Imaging". En Novel Plant Imaging and Analysis, 3–37. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-4992-6_1.
Texto completoJoensuu, Merja, Ramon Martínez-Mármol, Mahdie Mollazade, Pranesh Padmanabhan y Frédéric A. Meunier. "Single-Molecule Imaging of Recycling Synaptic Vesicles in Live Neurons". En Neuromethods, 81–114. New York, NY: Springer US, 2020. http://dx.doi.org/10.1007/978-1-0716-0532-5_5.
Texto completoTonsfeldt, Karen J. y David K. Welsh. "Long-Term Imaging and Electrophysiology of Single Suprachiasmatic Nucleus Neurons". En Circadian Clocks, 99–120. New York, NY: Springer US, 2022. http://dx.doi.org/10.1007/978-1-0716-2577-4_5.
Texto completoHossain, Sharmin, Kaspar Podgorski y Kurt Haas. "Single-Cell Electroporation for In Vivo Imaging of Neuronal Morphology and Growth Dynamics". En Neural Tracing Methods, 101–16. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4939-1963-5_5.
Texto completoYap, Timothy E., Maja Szymanska y M. Francesca Cordeiro. "Advances in Retinal Imaging: Real-Time Imaging of Single Neuronal Cell Apoptosis (DARC)". En OCT and Imaging in Central Nervous System Diseases, 123–38. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-26269-3_7.
Texto completoThal, Lucas B., Oleg Kovtun y Sandra J. Rosenthal. "Labeling Neuronal Proteins with Quantum Dots for Single-Molecule Imaging". En Quantum Dots, 169–77. New York, NY: Springer US, 2020. http://dx.doi.org/10.1007/978-1-0716-0463-2_9.
Texto completoAlexiou, George A., Spyridon Tsiouris y Andreas D. Fotopoulos. "Single-Photon Emission Computed Tomography [Neuro-SPECT] Imaging of Brain Tumors". En PET and SPECT in Neurology, 881–93. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-54307-4_42.
Texto completoActas de conferencias sobre el tema "Single neuron imaging"
Segawa, Yumi, Wataru Minoshima, Kyoko Masui y Chie Hosokawa. "Single-Neuron Stimulation with a Focused Femtosecond Laser". En Conference on Lasers and Electro-Optics/Pacific Rim. Washington, D.C.: Optica Publishing Group, 2022. http://dx.doi.org/10.1364/cleopr.2022.ctua15c_03.
Texto completoNing, Kefu, Xiaoyu Zhang, Xuefei Gao, Tao Jiang, He Wang, Siqi Chen, Anan Li y Jing Yuan. "Deep-learning-based whole-brain imaging at single-neuron resolution". En Neural Imaging and Sensing 2021, editado por Qingming Luo, Jun Ding y Ling Fu. SPIE, 2021. http://dx.doi.org/10.1117/12.2582870.
Texto completoZhang, Delong, Hyeon Jeong Lee, Pei-Yu Shih, Ryan E. Drenan y Ji-Xin Cheng. "Label-Free Imaging of Single Neuron Activities by Stimulated Raman Scattering". En CLEO: Applications and Technology. Washington, D.C.: OSA, 2015. http://dx.doi.org/10.1364/cleo_at.2015.am3j.4.
Texto completoYoshida, S., K. Takada y A. Ektessabi. "SRXRF elemental imaging of a single neuron from patients with neurodegenerative disorders". En The fifteenth international conference on the application of accelerators in research and industry. AIP, 1999. http://dx.doi.org/10.1063/1.59200.
Texto completoSingh, Ranjana, Abha Saxena y Lopamudra Giri. "Single Neuron Imaging Reveals Metabotropic Glutamate Receptor-Mediated Bursting and Delay in Calcium Oscillation in Hippocampal Neurons". En 2019 41st Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). IEEE, 2019. http://dx.doi.org/10.1109/embc.2019.8856638.
Texto completoDhyani, Vaibhav, Soumya Jana y Lopamudra Giri. "Gaussian Mixture Modeling of Single-Neuron Responses Obtained from Confocal-Calcium-Imaging of Dissociated Rat Hippocampal Neurons". En 2021 10th International IEEE/EMBS Conference on Neural Engineering (NER). IEEE, 2021. http://dx.doi.org/10.1109/ner49283.2021.9441102.
Texto completoJang, M. J. y Y. Nam. "Automation of network burst analysis in the single neuron resolution based on calcium imaging". En 2013 6th International IEEE/EMBS Conference on Neural Engineering (NER). IEEE, 2013. http://dx.doi.org/10.1109/ner.2013.6695997.
Texto completoWang, Heng, Yang Song, Chaoyi Zhang, Jianhui Yu, Siqi Liu, Hanchuan Pengy y Weidong Cai. "Single Neuron Segmentation Using Graph-Based Global Reasoning with Auxiliary Skeleton Loss from 3D Optical Microscope Images". En 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI). IEEE, 2021. http://dx.doi.org/10.1109/isbi48211.2021.9434071.
Texto completoNarayanasamy, Kaarjel K., Johanna V. Rahm, Soohyen Jang y Mike Heilemann. "Multi-color super-resolution microscopy accelerated by a neural network". En Single Molecule Spectroscopy and Superresolution Imaging XVI, editado por Ingo Gregor, Rainer Erdmann y Felix Koberling. SPIE, 2023. http://dx.doi.org/10.1117/12.2657442.
Texto completoBeck, Lior M., Ariel Halfon, Uri Rossman, Assaf Shocher, Michal Irani y Dan Oron. "Image fusion in correlation based superresolution imaging using convolutional neural networks (Conference Presentation)". En Single Molecule Spectroscopy and Superresolution Imaging XVI, editado por Ingo Gregor, Rainer Erdmann y Felix Koberling. SPIE, 2023. http://dx.doi.org/10.1117/12.2648282.
Texto completoInformes sobre el tema "Single neuron imaging"
Brubaker, Erik. Single-Volume Neutron Scatter Camera for High-Efficiency Neutron Imaging and Source Characterization. Year 2 of 3 Summary. Office of Scientific and Technical Information (OSTI), octubre de 2015. http://dx.doi.org/10.2172/1225830.
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