Research Programming & Computational Analysis Core

UAB视觉研究核心中心-研究编程和计算分析核心 项目总结/摘要 研究编程和计算分析（RPCA）核心是在2013年创建的， 在现有的P30核心补助金内进行战略任务调整，以更好地调整以前在 计算机核心与当前和新兴的研究需求。这一调整是为了应对 数字数据日益复杂，特别是视觉研究中实验室生成的图像， 需要开发自定义分析例程来处理、汇总、量化和建立数据库。自定义 图像分析和处理程序尤其是视觉研究中越来越重要的组成部分， 特别是随着几种新的临床和研究成像模式的出现 以及自适应光学光学相干断层成像和体积显微镜技术。此外，本发明还提供了一种方法， 大量的研究数据现在都是数字化的，需要开发定制数据管理， 通过研究编程建立数据库、过滤和量化方案。第二个长期 RPCA核心的主要功能是开发用于控制和数据采集的定制软件接口 新的和现有的研究设备。这些设备大部分是通过合作在内部开发的 与仪器核心，自定义软件接口是仪器开发的支柱， 实施和数据采集。数据分析和仪器接口的自定义编程已经过时， 由于有能力的程序员费用高，而且需求相对有限， 在个别项目中。这个核心模块的目标是为研究人员提供一个全面的编程 和计算数据分析服务，其中定制数据库编程，数据分析例程和 独立的程序可以由训练有素的人员针对个别项目的需要开发。这重新调整 核心预计适度到广泛使用的20个NEI R 01资助的研究人员在UAB的12个。

UAB Core Center for Vision Research – Research Programming & Computational Analysis Core Project Summary/Abstract The Research Programming and Computational Analysis (RPCA) Core was created in 2013 as a result of strategic task realignment within the existing P30 Core Grant to better align services previously performed in the Computer Core with current and emerging research needs. This re-alignment was brought about in response to the increasing complexity of digital data, particularly laboratory-generated images in vision research, and the need to develop custom analysis routines to process, summarize, quantify, and database those data. Custom image analysis and processing routines in particular are an increasingly critical component of vision research, particularly with the emergence of several new clinical and research imaging modalities such as conventional and adaptive optics optical coherence tomography imaging and volumetric microscopy techniques. In addition, a vast array of research data is now digital, necessitating the development of custom data management, databasing, filtering, and quantification schemes through research programming. The second longstanding primary function of the RPCA Core is to develop custom software interfaces for control of and data acquisition from new and existing research equipment. Much of this equipment is developed in-house through collaborations with the Instrumentation Core, and custom software interfaces are a mainstay of instrument development, implementation, and data acquisition. Custom programming for data analysis and instrument interfaces is out of the reach of most investigators due to the high cost of competent programmers and the relatively limited need within individual projects. The goal of this core module is to offer researchers a comprehensive programming and computational data analysis service where custom database programming, data analysis routines and stand-alone programs can be developed for individual project needs by highly trained personnel. This realigned Core anticipates moderate to extensive use from 12 of the 20 NEI R01-funded investigators at UAB.