CORE--Quantitative Morphology

定量形态学核心（QMC）为Conte中心的成员提供技术支持。QMC已经开发出工具，在共聚焦、多光子和电子显微镜水平上量化脊髓和突触的形态变化。这些方法的发展是为了提供必要的分辨率来量化突触分子成分中与可塑性相关的变化，这是将这些变化与信息处理联系起来的关键一步。QMC开发了旨在提高吞吐量和准确性的应用程序，并减少突触免疫金电子显微镜定量分析的偏差，以及通过使用共聚焦和多光子数据自动获取整个细胞以高分辨率成像路西法黄注射神经元的新工具。这些工具包括反褶积、平滑、自动平铺和具有高水平细节的三维再现，以及在脊柱分辨率水平上对树突进行形态计量分析的能力。我们还对神经元的复杂性进行数学建模，并对重建神经元的特性进行生物物理模拟。QMC还参与了一种新的立体探针的开发，以评估感兴趣体积中的粒子的三维空间分布。最近，QMC已经开始制作人类杏仁核的高分辨率磁共振显微镜（MRM; 9.4 T）数据集，为用户提供人类杏仁核的高水平详细数字图谱，作为活体受试者fMRI和PET分析的参考指南，以及杏仁核包裹的解剖学参考。这些核磁共振成像数据还将告知使用者在人类杏仁核中发生的解剖变异程度。

The Quantitative Morphology Core (QMC) provides technology supports to the members of the Conte Center. The QMC has developed tools to quantify morphologic changes in spines and synapses at the confocal , multiphoton, and electron microscopy levels. These methods are developed to provide to provide the necessary degree of resolution to quantify plasticity-related changes in molecular constituents of synapses, a critical step to link such modifications to information processing. The QMC has developed applications designed to increase the throughput and accuracy, and reduce bias of quantitative analysis of immunogold electron microscopy of synapses as well as new tools to image Lucifer Yellow-injected neurons at high resolution from automatized acquisition of entire cells using confocal and multiphoton data.. These tools involve deconvolution, smoothing, automatic tiling, and 3-dimensional rendition with high level of detail and capacity for morphometric analysis of dendrites at the spine level of resolution. We are also performing mathematical modeling of neuronal complexity and biophysical simulation of the properties of the reconstructed neurons. The QMC was also involved in the development of a new stereologic probe to assess the 3-dimensional spatial distribution of particles in a volume of interest. Recently, the QMC has begun producing high resolution magnetic resonance microscopy (MRM; 9.4 T) datasets of the human amygdala to provide users with a high level of detail digital atlas of the human amygdala to be used as a reference guide for fMRI and PET analyses of live subjects as well as anatomic reference for amygdala nuclear parcellation. These MRM data will also inform the users on the degree of anatomic variation that occurs in the human amygdala.