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Vamping:基于体视学的荧光斑点大小和密度的自动定量分析。

Vamping: stereology-based automated quantification of fluorescent puncta size and density.

机构信息

Department of Neuroscience and Friedman Brain Institute, Mount Sinai School of Medicine, New York, NY 10029, USA.

出版信息

J Neurosci Methods. 2012 Jul 30;209(1):97-105. doi: 10.1016/j.jneumeth.2012.05.031. Epub 2012 Jun 7.

Abstract

The size of dendritic spines and postsynaptic densities (PSDs) is well known to be correlated with molecular and functional characteristics of the synapse. Thus, the development of microscopy methods that allow high throughput quantification and measurement of PSDs is a contemporary need in the field of neurobiology. While the gold standard for measurement of sub-micrometer structures remains electron microscopy (EM), this method is exceedingly laborious and therefore not always feasible. Immunohistochemistry (IHC) is a much faster technique for identifying biological structures such as PSDs, but the fluorescent images resulting from it have traditionally been harder to interpret and quantify. Here, we report on two new image analysis tools that result in accurate size and density measurements of fluorescent puncta. Anti-PSD-95 staining was used to target synapses. The new technique of vamping, using Volume Assisted Measurement of Puncta in 2 and 3 Dimensions (VAMP2D and VAMP3D) respectively, is based on stereological principles. The fully automated image analysis tool was tested on the same subjects for whom we had previously obtained EM measurements of PSD size and/or density. Based on highly consistent results between data obtained by each of these methods, vamping offers an expedient alternative to EM that can nonetheless deliver a high level of accuracy in measuring sub-cellular structures.

摘要

树突棘和突触后密度(PSD)的大小与突触的分子和功能特征密切相关。因此,开发允许高通量定量和测量 PSD 的显微镜方法是神经生物学领域的当代需求。虽然电子显微镜(EM)仍然是测量亚微米结构的金标准,但这种方法非常繁琐,因此并不总是可行。免疫组织化学(IHC)是一种用于识别 PSD 等生物结构的更快技术,但由此产生的荧光图像传统上更难解释和量化。在这里,我们报告了两种新的图像分析工具,可对荧光斑点进行准确的大小和密度测量。使用抗 PSD-95 染色来靶向突触。使用 2D 和 3D 中的体积辅助测量点(VAMP2D 和 VAMP3D)的 vamping 新技术分别基于体视学原理。全自动图像分析工具在我们之前已经获得 PSD 大小和/或密度的 EM 测量值的相同对象上进行了测试。基于这些方法中的每一种方法获得的数据高度一致,vamping 为 EM 提供了一种便捷的替代方法,但在测量亚细胞结构时仍然可以达到高精度。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4025/3402578/9d182baa93e6/nihms384630f1.jpg

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