Automated 3D quantitative analysis of dendritic spines imaged with light microsco

描述（由申请人提供）：在这个实验室到市场的提案中，我们的目标是开发MBF SpineStudio软件，该软件将西奈山医学院创建的基于实验室的创新NeuronStudio软件结合起来。我们的SpineStudio软件将实现树突棘结构分析的自动检测、重建和形态分类。通过创建这个商业软件，我们将通过提供经过验证的，支持的和完整的文档化软件来改进现有技术，用于自动化3D定量树突棘分析。该软件将集成NeuronStudio软件的特定优势，用于用户应用的神经元标记、成像（包括体内）和图像预处理技术的组合，而无需软件编程方面的专业知识。该软件产品将提供复杂脊柱（杯形、多头或分支、丝状伪足）的自动检测、重建和单独分类。提供这种创新功能将有助于神经退行性疾病、学习和记忆等重要领域的研究。 公共卫生相关性：树突棘是神经元解剖学中最小的组成部分，其结构变化被认为是信息处理和存储的基础。因此，树突棘已成为研究的中心目标，重点是学习和记忆，特别是预防神经退行性疾病的认知能力下降。我们提出的SpineStudio软件将使这些树突棘的结构分析的自动检测，重建和形态分类。通过创建一个商业产品，结合创新的NeuronStudio软件，这将加快发现和理解树突棘研究的步伐，提供一个可靠的，强大的和完全支持的研究工具，充分验证和不断发展。

DESCRIPTION (provided by applicant): In this Lab to Marketplace proposal, we aim to develop the MBF SpineStudio software incorporating the innovative, laboratory-based NeuronStudio software created at the Mount Sinai School of Medicine. Our SpineStudio software will enable automated detection, reconstruction and morphological classification of the structural analysis of dendritic spines. By creating this commercial software, we will improve the existing technology by providing validated, supported, and fully-documented software for automated 3D quantitative dendritic spine analysis. This software will integrate the specific advantages of the NeuronStudio software for a combination of neuron labeling, imaging (including in vivo), and image pre- processing techniques applied by the user without requiring expert knowledge in software programming. The software product will offer automated detection, reconstruction, and separate classification of complex spines (cup-shaped, multi-headed or branched, filopodia). Providing this innovative functionality will help research in important fields such as neurodegenerative diseases, learning, and memory. PUBLIC HEALTH RELEVANCE: Structural changes that occur in dendritic spines, the smallest element of neuronal anatomy, are hypothesized to underlie the processing and storage of information. Thus, dendritic spines have become a central target in research focusing on learning and memory and, in particular, on the prevention of cognitive decline in neurodegenerative diseases. Our proposed SpineStudio software will enable automated detection, reconstruction and morphological classification of the structural analysis of these dendritic spines. By creating a commercial product, incorporating the innovative NeuronStudio software, this will accelerate the pace of discovery and understanding of dendritic spines research by providing a reliable, robust and fully-supported research tool that is fully validated and continually developed.