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Relevant bibliographies by topics / Single neuron imaging

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Journal articles

Academic literature on the topic 'Single neuron imaging'

Author: Grafiati

Published: 24 February 2024

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Journal articles on the topic "Single neuron imaging"

1

Chen, Pei-Ju, Yan Li, and Chi-Hon Lee. "Calcium Imaging of Neural Activity in Fly Photoreceptors." Cold Spring Harbor Protocols 2022, no. 7 (2022): pdb.top107800. http://dx.doi.org/10.1101/pdb.top107800.

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Functional imaging methodologies allow researchers to simultaneously monitor the neural activities of all single neurons in a population, and this ability has led to great advances in neuroscience research. Taking advantage of a genetically tractable model organism, functional imaging in Drosophila provides opportunities to probe scientific questions that were previously unanswerable by electrophysiological recordings. Here, we introduce comprehensive protocols for two-photon calcium imaging in fly visual neurons. We also discuss some challenges in applying optical imaging techniques to study

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2

Wang, Yangzhen, Feng Su, Shanshan Wang, et al. "Efficient implementation of convolutional neural networks in the data processing of two-photon in vivo imaging." Bioinformatics 35, no. 17 (2019): 3208–10. http://dx.doi.org/10.1093/bioinformatics/btz055.

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Abstract Motivation Functional imaging at single-neuron resolution offers a highly efficient tool for studying the functional connectomics in the brain. However, mainstream neuron-detection methods focus on either the morphologies or activities of neurons, which may lead to the extraction of incomplete information and which may heavily rely on the experience of the experimenters. Results We developed a convolutional neural networks and fluctuation method-based toolbox (ImageCN) to increase the processing power of calcium imaging data. To evaluate the performance of ImageCN, nine different imag

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Yang, Jian, Yong Zhang, Yuanlin Yu, and Ning Zhong. "Nested U-Net Architecture Based Image Segmentation for 3D Neuron Reconstruction." Journal of Medical Imaging and Health Informatics 11, no. 5 (2021): 1348–56. http://dx.doi.org/10.1166/jmihi.2021.3379.

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Digital reconstruction of neurons is a critical step in studying neuronal morphology and exploring the working mechanism of the brain. In recent years, the focus of neuronal morphology reconstruction has gradually shifted from single neurons to multiple neurons in a whole brain. Microscopic images of a whole brain often have low signal-to-noise-ratio, discontinuous neuron fragments or weak neuron signals. It is very difficult to segment neuronal signals from the background of these images, which is the first step of most automatic reconstruction algorithms. In this study, we propose a Nested U

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4

Keliris, Georgios A., Qinglin Li, Amalia Papanikolaou, Nikos K. Logothetis, and Stelios M. Smirnakis. "Estimating average single-neuron visual receptive field sizes by fMRI." Proceedings of the National Academy of Sciences 116, no. 13 (2019): 6425–34. http://dx.doi.org/10.1073/pnas.1809612116.

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The noninvasive estimation of neuronal receptive field (RF) properties in vivo allows a detailed understanding of brain organization as well as its plasticity by longitudinal following of potential changes. Visual RFs measured invasively by electrophysiology in animal models have traditionally provided a great extent of our current knowledge about the visual brain and its disorders. Voxel-based estimates of population RF (pRF) by functional magnetic resonance imaging (fMRI) in humans revolutionized the field and have been used extensively in numerous studies. However, current methods cannot es

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5

Ning, Kefu, Xiaoyu Zhang, Xuefei Gao, et al. "Deep-learning-based whole-brain imaging at single-neuron resolution." Biomedical Optics Express 11, no. 7 (2020): 3567. http://dx.doi.org/10.1364/boe.393081.

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6

Kalaska, 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 (May 29, 2019): 749. http://dx.doi.org/10.12688/f1000research.17161.1.

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For years, neurophysiological studies of the cerebral cortical mechanisms of voluntary motor control were limited to single-electrode recordings of the activity of one or a few neurons at a time. This approach was supported by the widely accepted belief that single neurons were the fundamental computational units of the brain (the “neuron doctrine”). Experiments were guided by motor-control models that proposed that the motor system attempted to plan and control specific parameters of a desired action, such as the direction, speed or causal forces of a reaching movement in specific coordinate

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7

Hogg, Peter W., and Kurt Haas. "Bulk Dye Loading for In Vivo Calcium Imaging of Visual Responses in Populations of Xenopus Tectal Neurons." Cold Spring Harbor Protocols 2022, no. 1 (2021): pdb.prot106831. http://dx.doi.org/10.1101/pdb.prot106831.

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Bulk loading of neurons with fluorescent calcium indicators in transparent albino Xenopus tadpoles offers a rapid and easy method for tracking sensory-evoked activity in large numbers of neurons within an awake developing brain circuit. In vivo two-photon time-lapse imaging of an image plane through the optic tectum allows defining receptive field properties from visual-evoked responses for studies of single-neuron and network-level encoding and plasticity. Here, we describe loading the Xenopus tadpole optic tectum with the membrane-permeable AM ester of Oregon Green 488 BAPTA-1 (OGB-1 AM) for

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8

Koyano, Kenji W., Akinori Machino, Masaki Takeda, et al. "In vivo visualization of single-unit recording sites using MRI-detectable elgiloy deposit marking." Journal of Neurophysiology 105, no. 3 (2011): 1380–92. http://dx.doi.org/10.1152/jn.00358.2010.

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Precise localization of single-neuron activity has elucidated functional architectures of the primate cerebral cortex, related to vertically stacked layers and horizontally aligned columns. The traditional “gold standard” method for localizing recorded neuron is histological examination of electrolytic lesion marks at recording sites. Although this method can localize recorded neurons with fine neuroanatomy, the necessity for postmortem analysis prohibits its use in long-term chronic experiments. To localize recorded single-neuron positions in vivo, we introduced MRI-detectable elgiloy deposit

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9

Tetzlaff, Svenja, Joaquín Campos, Linh Nguyen, et al. "CNSC-21. CHARACTERIZATION OF NEURON-TUMOR INTERACTIONS USING HUMAN CO-CULTURES." Neuro-Oncology 24, Supplement_7 (2022): vii26. http://dx.doi.org/10.1093/neuonc/noac209.102.

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Abstract Glioblastoma are incurable brain tumors characterized by their colonization of the entire brain and their notorious therapeutic resistance. Recently, we discovered long membrane tubes called tumor microtubes contributing to invasion, network formation of tumor-tumor networks and therapeutic resistance. Subsequently, heterogeneous networks of neurons and glioblastoma cells were characterized, which can communicate by synaptic and perisynaptic contacts as well as by paracrine mechanisms. Currently used models of studying neuron-glioblastoma interactions are limited by the possibility to

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Matsuda, Takahiko, and Izumi Oinuma. "Imaging endogenous synaptic proteins in primary neurons at single-cell resolution using CRISPR/Cas9." Molecular Biology of the Cell 30, no. 22 (2019): 2838–55. http://dx.doi.org/10.1091/mbc.e19-04-0223.

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Fluorescence imaging at single-cell resolution is a crucial approach to analyzing the spatiotemporal regulation of proteins within individual cells of complex neural networks. Here we present a nonviral strategy that enables the tagging of endogenous loci by CRISPR/Cas9-mediated genome editing combined with a nucleofection technique. The method allowed expression of fluorescently tagged proteins at endogenous levels, and we successfully achieved tagging of a presynaptic protein, synaptophysin (Syp), and a postsynaptic protein, PSD-95, in cultured postmitotic neurons. Superresolution fluorescen

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