官方服务：
资源简介：
Sholl analysis 8212 GP 2 2019 paper
应用场景：
创建时间：
2019-06-16
相关数据集
Trace, quantify, and model multi-signal neuron morphology
The zipped folder contains eight separate folders: i) Finalized Imagestacks, ii) Repair, iii) Scaling, iv) Quantify, v) Simulate, vi) TREES1.15, and vii) Vaa3D_MultiChannel_Compiled_Library, viii) St
NIAID Data Ecosystem30
LESA: Longitudinal Elastic Shape Analysis of Brain Subcortical Structures
Over the past 30 years, magnetic resonance imaging has become a ubiquitous tool for accurately visualizing the change and development of the brain’s subcortical structures (e.g., hippocampus). Althoug
NIAID Data Ecosystem20
Mean and standard deviation () of the number of dendritic trees and the number of points of the dendritic point clouds (roots, branching points and terminal points) of the 48 cells of each cortical layer.
Mean and standard deviation () of the number of dendritic trees and the number of points of the dendritic point clouds (roots, branching points and terminal points) of the 48 cells of each cortical la
Figshare2016-11-11 更新00
Cellular correlates of gray matter volume changes in magnetic resonance morphometry identified by two-photon microscopy [Dataset]
This dataset accompanies the article of the same title in the journal Scientific Reports. It includes a) spreadsheets of data values for each plot in the main figures, b) all raw image data from Two-P
heiDATA2021-02-22 更新20
Raw data of neuron morphometry from Brosig et al. 2019
Readme for “Raw data of neuron morphometry data from Brosig et al. 2019” Joachim Fuchs & Britta Eickholt, October 2022 This repository contains fluorescence microscopy images and raw NeuronJ-tr
NIAID Data Ecosystem10
