PRECISE LOCALIZATION OF SUB RESOLUTION FLUORESCENT BEADS

亚分​​辨率荧光珠的精确定位

• 批准号: 6121876
• 负责人: RUSSELL THOMPSON
• 金额: $ 0.8万
• 依托单位: CORNELL UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 1998
• 资助国家: 美国
• 起止时间: 1998-09-30 至 1999-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6121876
• 关键词: bioengineering /biomedical engineering; biomedical resource; lipids; technology /technique

A simple iterative algorithm based on least-squares minimization was designed to precisely localize particles based on fluorescence images. The algorithm is based on least-squares minimization for the case where the errors in pixel values are independent of the number of counts in the pixels. In this situation the general non-linear minimization problem simplifies to iterating an x-y location until convergence (with generally less than five iterations). Once the center of the particle has been found, the integrated intensity is then simple to compute. This algorithm improves on a previous version with roughly twice x-y precision and much improved integrated intensity precision.

一种基于最小二乘极小化的简单迭代算法 被设计用来精确定位基于荧光的粒子 图像. 该算法是基于最小二乘最小化的 像素值中的误差与像素的数目无关的情况下， 以像素为单位计数。 在这种情况下，一般非线性 最小化问题简化为迭代x-y位置，直到 收敛（通常少于五次迭代）。 一旦 找到了粒子的中心，积分强度为 然后简单计算。 该算法改进了以前的版本 具有大约两倍的x-y精度和大大改进的集成 强度精度