CAREER: Integrated Computational Optical Framework for Quantitative Space-Variant Imaging in Live-Cell Fluorescence Microscopy

职业：活细胞荧光显微镜中定量空间变异成像的集成计算光学框架

• 批准号: 0844682
• 负责人: Chrysanthe Preza
• 金额: $ 74.38万
• 依托单位: University of Memphis
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-03-01 至 2015-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0844682&HistoricalAwards=false
• 关键词: CAREER; Integrated; Computational; Optical; Framework

CAREER: Integrated computational optical framework for quantitative space-variant imaging in live-cell fluorescence microscopy This research is developing new computational methods to integrate with a novel optical non-scanning imaging system design to enable fast live-cell fluorescence microscopy imaging with high, isotropic 3D resolution. The PI has pioneered computational methods for DIC microscopy. This work addresses a key challenge in live-cell microscopy of accounting for aberrations due to ?thick? biological specimens. Refractive index (RI) mismatch and heterogeneity within thick samples produce image distortions that worsen with imaging depth in conventional microscopes. Commercially available deconvolution methods do not account for these distortions. To address this issue, the PI is utilizing computational Differential Interference Contrast (DIC) microscopy to develop new corrective methodologies and integrate computational development into a new system design using a computational optical sensing and imaging (COSI) system approach. This is a novel and innovative application of adaptive optics. Specific research is developing mathematical models that can accurately predict data acquired with a wide-field imaging system; using model-based data processing algorithms to estimate accurate fluorescence concentration in 3D images and developing a software package for the user community. Performance and utility of the new methods is being tested on cytoskeletal proteins. The broader impact activities are diverse and innovative. The PI is developing coursework that integrates imaging science and optical systems to complement research in computational imaging for microscopy and COSI system design. The PI is establishing cross-disciplinary participation in her courses, particularly among engineering, biological sciences, and pre-medicine majors. A interdisciplinary certificate program with concentration in Microscopy will result. The PI?s commitment to multidisciplinary education and outreach is preparing the next generation of biological researchers and engineers for work at the intersection of biology, computational science and engineering disciplines where significant advances are expected to further revolutionize science.

职业生涯：用于活细胞荧光显微镜定量空间变化成像的集成计算光学框架这项研究正在开发新的计算方法，以集成新的光学非扫描成像系统设计，以实现具有高各向同性3D分辨率的快速活细胞荧光显微镜成像。PI开创了DIC显微镜的计算方法。这项工作解决了活细胞显微镜中的一个关键挑战，即解释由于？生物标本。厚样品中的折射率(RI)失配和不均匀会产生图像失真，在传统显微镜中，这种失真会随着成像深度的增加而恶化。商业上可用的反卷积方法不能解释这些失真。为了解决这个问题，PI正在利用计算差分干涉衬度(DIC)显微镜来开发新的校正方法，并使用计算光学传感和成像(COSI)系统方法将计算开发整合到新的系统设计中。这是自适应光学的一种新颖的创新应用。具体的研究是开发可以准确预测通过广域成像系统获取的数据的数学模型；使用基于模型的数据处理算法来估计3D图像中的准确荧光浓度，并为用户社区开发一个软件包。新方法的性能和实用性正在细胞骨架蛋白上进行测试。更广泛的影响活动是多样和创新的。PI正在开发整合成像科学和光学系统的课程，以补充显微镜和COSI系统设计的计算成像研究。PI正在建立她的课程的跨学科参与，特别是在工程学、生物科学和医学预科专业的学生中。将产生一个专注于显微镜的跨学科证书计划。皮？S致力于多学科教育和推广，正在为下一代生物研究人员和工程师在生物学、计算科学和工程学科的交叉点工作做准备，在这些学科中，重大进展有望进一步彻底改变科学。