Flourescence, Luminescence and Counting Instruments for Analytical and Bioanalytical Laboratories

该项目提供荧光、发光和闪烁设备，以服务于一系列生物和化学实验课程。该系已成功地现代化和加强了生物和化学课程，支持课堂教学和学生独立研究。这些仪器与现有的计算机网络相结合，使学生能够使用现代的数据收集和分析方法。由此产生的实验和练习包括相互依存和多种专业方法，这些方法在许多大学校园提供的课程中都可以找到。由于该项目针对的是科学专业和非科学专业的学生，因此改进后的设施是提高现代生物和化学课程的成本效益的方案。多学科方法的改进源于并加强了部门间的合作。通过使用现代、有效的仪器测量荧光和放射性衰变，正在实现各项目标。特定的设备支持敏感的生物，环境，有机和无机荧光分析，以及生化和生物分析微孔应用。这些仪器也被生物和化学的学生研究人员和他们的教师导师使用。生物和化学教师可以通过时间表制定和学生报告来评估学生的使用和表现。这些可用于通知实验室练习和课程现代化的积极跨内容开发，作为专业应用程序和网络连接的性能评估过程的一部分。在课程中纳入现代数据分析方法可以使毕业生有更强的能力来理解现代科学数据收集和分析的本质，并为将来在技术要求高的社会中取得成就打下更坚实的基础。

This project provides fluorescence, luminescence, and scintillation equipment to serve a range of biology and chemistry laboratory courses. The department has been successful in modernizing and enhancing curricula in biology and chemistry supporting classroom instruction and independent student research. The instruments tie into the existing computing network and enable students to use modern methods of data collection and analysis. The resulting laboratories and exercises consist of interdependent and multiply specialized methods as found in programs offered on many college campuses. Since the project is aimed at a cross-section of science majors and nonmajors, the improved facilities represent a cost-effective program for enhancing a modern biology and chemistry curricula. The multidisciplinary approach to the improvements spring from and enhance interdepartmental collaboration. Objectives are being achieved by using modern, efficient instruments for measurement of fluorescence and radioactive disintegrations. The specific equipment supports sensitive biological, environmental, organic, and inorganic fluorescence analysis, and biochemical and bioanalytical micro well applications. The instruments are also being used by biology and chemistry student researchers and their faculty mentors. Biology and chemistry faculty can assess student use and performance through schedule development and student reports. These can be used to inform an active cross-content development of lab exercises and course modernization as part of an ongoing process of performance evaluation for both specialized applications and networked tie-ins. The inclusion of modern methods of data analysis in the curricula can result in graduates who have an enhanced capacity to understand the nature of modern scientific data collection and analysis and a more solid foundation for future achievement in a technologically demanding society.