Primity Cloud: High-Performance Cytometry Analysis Engine

项目摘要 流式细胞术是研究中询问免疫系统不可或缺的工具， 药物发现和诊断应用。平台经历了巨大的变化 在过去十年和现在的发展中，现代细胞仪能够分析10到40个 每个单元格的参数、每个样本数百万个单元格的参数以及每个样本数百个样本的参数 做实验。然而，随着参数、样本和实验数量的增加，因此 数据分析的负担也很重。现有的流式细胞仪软件无法满足需求 由于计算能力有限和缺乏高级数据，尖端应用程序 可视化工具。在这份提案中，我们描述了基于云的 基于专有分布式计算引擎构建的细胞仪软件。利用这一点 弹性云计算的力量，我们的解决方案可以比目前所有的解决方案更快地分析数据 可用的应用程序，并且可以扩展以处理即使是最海量的数据集。在这笔赠款中， 我们将进一步强化门控和补偿等核心功能，实施数据 直接连接到原始数据的可视化工具，支持跨 多个实验。我们工作的结果将是针对高级流的端到端解决方案 建立在可扩展、安全且分布式的云架构之上的细胞仪分析 满足当前和未来研究人员的需求。

Project Summary Flow cytometry is an indispensable tool for interrogating the immune system in research, drug discovery and diagnostic applications. The platform has undergone tremendous expansion over the past decade and now, modern cytometers are able to analyze 10 to 40 parameters per single cell, for millions of cells per sample, and hundreds of samples per experiment. However, as the number of parameters, samples, and experiments increases, so too does the data analysis burden. Current flow cytometry software is unable to meet the needs of cutting-edge applications due to limitations in computational power and lack of advanced data visualization tools. In this proposal, we describe the further development of our cloud-based cytometry software that is built upon a proprietary distributed computing engine. Harnessing the power of elastic cloud computing, our solution can analyze data faster than all currently available applications, and can scale to handle even the most massive data sets. In this grant, we will further harden core features such as gating and compensation, implement data visualization tools that are directly connected to the raw data, and enable analysis across multiple experiments. The result of our work will be an end-to-end solution for advanced flow cytometry analysis, built upon a scalable, secure, and distributed cloud architecture that can meet the demands of current, as well as future, researchers.