ShuTu: Rat dentate gyrus granule cell 100X (compressed)
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下载链接:
https://figshare.com/articles/dataset/ShuTu_an_Open-Source_Software_for_Neuron_Reconstruction_rat_dente_gyrus_granule_cell_100X_compressed_/5613184
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Here we provide images of a rat dentate gyrus granule cell (100X) for practicing reconstruction using the ShuTu software platform. The cell was filled and imaged by Ching-Lung Hsu in the Spruston Lab. Two resolutions are provided, 63X and 100X. For more accurate reconstruction, use 100X.
Currently this compressed file is set up only for Ubuntu. Due to agressive compression, the sharpness of the images is somewhat reduced. To decompress, first install OpenJPEG then decompress the images using the following commands:
sudo sh installOpenJpegForCompression.sh
python decompressToTiff.py ~/granuleCellCompress
ShuTu (Chinese for "dendrite") is a software platform for semi-automated reconstruction of neuronal morphology. It is designed for neurons stained following patch-clamp recording and biocytin filling/staining. With an additional preprocessing step, it can also handle fluorescence images from confocal stacks.
Even when there is only a single neuron in the imaged volume, automated reconstruction is tricky, because of background. Thus, ShuTu was developed to facilitate a two-step process: automated reconstruction, followed by manual correction. The software uses sophisticated algorithms to perform the automated reconstruction, as well as a convenient user interface to facilitate efficient completion of the reconstruction via manual annotation.
本数据集提供大鼠齿状回颗粒细胞的成像图片(100倍物镜),用于基于ShuTu软件平台的神经元重建练习。该细胞由Spruston实验室的徐景龙(Ching-Lung Hsu)完成胞内填充与成像。本次提供两种分辨率的成像结果:63倍与100倍物镜。若需获得更精准的重建效果,建议使用100倍分辨率的图片。
当前该压缩文件仅适配Ubuntu系统。由于采用了高强度压缩算法,图片的锐度有所下降。如需解压缩,请先安装OpenJPEG,再通过以下命令完成图片解压缩:
sudo sh installOpenJpegForCompression.sh
python decompressToTiff.py ~/granuleCellCompress
ShuTu(中文意为「树突」)是一款用于神经元形态半自动化重建的软件平台。该软件专为膜片钳记录结合生物胞素填充/染色的神经元设计;通过额外的预处理步骤,也可处理共聚焦成像栈获得的荧光图像。
即便成像视野中仅存在单个神经元,受背景噪声影响,自动化重建仍颇具挑战。因此ShuTu的开发旨在支持「自动化重建+人工校正」的两步流程:先通过算法完成自动化重建,再依托便捷的用户界面,通过人工注释高效完成后续校正工作。该软件集成了高精度的自动化重建算法,并配备易用的交互界面以提升人工标注的效率。
创建时间:
2017-11-17



