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996
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996 results for “mouse brain”
DeepCAD-RT dataset: mouse brain neutrophils (3D)
<p>DeepCAD-RT dataset: mouse brain neutrophils (3D)</p>
DeepCAD-RT dataset: ATP release in the mouse brain (3D)
<p>DeepCAD-RT dataset: ATP release in the mouse brain (3D)</p>
DeepCAD-RT datasets: ATP release in the mouse brain (3D)
<p>DeepCAD-RT datasets: ATP release in the mouse brain (3D)</p>
Example Analysis Output of Vizgen Mouse Brain Data
<div> <p>This is an example analysis output data from Vizgen Mouse Brain Data Analysis</p> <p> </p> </div>
Example Analysis Output of Stereo-seq Mouse Brain Data
<p>This is an example analysis output data from Stereo-seq Mouse Brain Data Analysis</p>
Example Analysis Output of Xenium Mouse Brain Data
<p>This is an example analysis output data from Xenium Mouse Brain Data Analysis</p>
Data from: Application of Spatial-ID to large field mouse brain hemisphere dataset measured by Stereo-seq
<p>The application of Spatial-ID on the large field mouse brain hemisphere dataset measured by Stereo-seq technology. Briefly, three adjacent coronal sections along the anterior-posterior axis were cut from the brain 5-week-old male mouse. It fully proves the innovation and applicability of Spatial-ID.</p>
Long-read transcriptome data (Iso-Seq) of the human and mouse brain
<p>Datasets from "<strong>Full-length transcript sequencing of human and mouse cerebral cortex identifies widespread isoform diversity and alternative splicing</strong>", SK.Leung, A.Jeffries. et al. (2021)</p> <p>Deposited files are generated from running Cupcake, SQANTI2 (v7.4) and filter. <br> Note, only the files generated from SQANTI2 filtering are deposited. <br> To re-run SQANTI, use the files in cupcake_collapse folder as input. </p> <p>Please refer to code (https://github.com/SziKayLeung/Whole_Transcriptome_Paper) for more information. </p> <p>Datasets: <br> - AdultCTX: Adult human prefrontal cortex tissue (n = 4) merged dataset<br> - FetalCTX: Fetal human prefrontal cortex tissue (n = 3) merged dataset<br> - FetalHIP: Fetal human hippocampus tissue (n = 2, subset of FetalCTX) merged dataset<br> - FetalSTR: Fetal human striatum tissue (n = 2, subset of FetalCTX) merged dataset<br> - MouseCTX: Mouse entorhinal cortex tissue (n = 12) merged dataset</p>
Isosceles paper mouse E18 brain scRNA-Seq (Lebrigand et al.) data analysis input files
<p>Mouse E18 brain scRNA-Seq (Lebrigand et al.) data analysis input files for the Isosceles paper - more details can be found in the <a href="https://github.com/Genentech/Isosceles_Paper" target="_blank" rel="noopener">Isosceles_Paper</a> repository.</p>
Pathogenic LRRK2 control of primary cilia and Hedgehog signaling in neurons and astrocytes of mouse brain
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Decreased content of ascorbic acid (vitamin C) in the brain of knockout mouse models of Na+, K+- ATPase-related neurologic disorders
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Ultrafast two-photon fluorescence imaging of cerebral blood circulation in the mouse brain in vivo
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mouse brain
Drawing uploaded to scidraw.io on: 15 August 2019
Mouse Brain Above & Side
Drawing uploaded to scidraw.io on: 21 April 2020
mouse brain silhouette
Drawing uploaded to scidraw.io on: 15 August 2019
mouse brain
Drawing uploaded to scidraw.io on: 15 August 2019
Data from: MRI mouse brain data of ischemic lesion after transient middle cerebral artery occlusion
In this data report we make available to the community a highly variable longitudinal MRI mouse brain data set of ischemic lesion after transient middle cerebral artery occlusion (tMCAo). Together with the provided semi-automated and automated segmentations, these data can be used to further improve the method proposed by Mulder et al. (2017) and also to serve as a benchmark for comparison between different approaches to segment ischemic lesions in MRI mouse brain data. It can also be used to develop and validate algorithms that further classify the stroke area into core and penumbra.
mouse brain
SciDraw upload
Data from: Bi-channel image registration and deep-learning segmentation (BIRDS) for efficient, versatile 3D mapping of mouse brain
<p>We have developed an open-source software called BIRDS (bi-channel image registration and deep-learning segmentation) for the mapping and analysis of 3D microscopy data and applied this to the mouse brain. The BIRDS pipeline includes image pre-processing, bi-channel registration, automatic annotation, creation of a 3D digital frame, high-resolution visualization, and expandable quantitative analysis. This new bi-channel registration algorithm is adaptive to various types of whole-brain data from different microscopy platforms and shows dramatically improved registration accuracy. Additionally, as this platform combines registration with neural networks, its improved function relative to other platforms lies in the fact that the registration procedure can readily provide training data for network construction, while the trained neural network can efficiently segment incomplete/defective brain data that is otherwise difficult to register. Our software is thus optimized to enable either minute-timescale registration-based segmentation of cross-modality, whole-brain datasets or real-time inference-based image segmentation of various brain regions of interest. Jobs can be easily submitted and implemented via a Fiji plugin that can be adapted to most computing environments.</p>
Data from: Correlations of behavioral deficits with brain pathology assessed through longitudinal MRI and histopathology in the HDHQ150/Q150 mouse model of Huntington's disease
A variety of mouse models have been developed that express mutant huntingtin (mHTT) leading to aggregates and inclusions that model the molecular pathology observed in Huntington's disease. Here we show that although homozygous HdhQ150 knock-in mice developed motor impairments (rotarod, locomotor activity, grip strength) by 36 weeks of age, cognitive dysfunction (swimming T maze, fear conditioning, odor discrimination, social interaction) was not evident by 94 weeks. Concomitant to behavioral assessments, T2-weighted MRI volume measurements indicated a slower striatal growth with a significant difference between wild type (WT) and HdhQ150 mice being present even at 15 weeks. Indeed, MRI indicated significant volumetric changes prior to the emergence of the "clinical horizon" of motor impairments at 36 weeks of age. A striatal decrease of 27% was observed over 94 weeks with cortex (12%) and hippocampus (21%) also indicating significant atrophy. A hypothesis-free analysis using tensor-based morphometry highlighted further regions undergoing atrophy by contrasting brain growth and regional neurodegeneration. Histology revealed the widespread presence of mHTT aggregates and cellular inclusions. However, there was little evidence of correlations between these outcome measures, potentially indicating that other factors are important in the causal cascade linking the molecular pathology to the emergence of behavioral impairments. In conclusion, the HdhQ150 mouse model replicates many aspects of the human condition, including an extended pre-manifest period prior to the emergence of motor impairments.
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.