高等学校化学学报

高等学校化学学报 ›› 2005, Vol. 26 ›› Issue (1): 31.

• 研究论文 • 上一篇    下一篇

高分辨阿达玛变换显微荧光图像分析(Ⅲ)——系统分辨率和图像恢复过程对单细胞分析结果的影响

唐宏武, 李涛, 罗美娜, 吴琼水, 陈观铨   

  1. 武汉大学化学与分子科学学院测试中心, 武汉 430072
  • 收稿日期:2003-12-29 出版日期:2005-01-10 发布日期:2005-01-10
  • 通讯作者: 唐宏武(1969年出生),男,博士,副教授,从事分子光谱分析和光谱仪器研究.E-mail:hwtang@whu.edu.cn E-mail:hwtang@whu.edu.cn
  • 基金资助:

    国家自然科学基金(批准号:20075019)资助

High-resolution Hadamard Transform Microscopic Fluorescence Image Analysis(Ⅲ) —— Influence of Systematic Resolution and the Process of Image Recovery on Single Cell Analysis

TANG Hong-Wu, LI Tao, LUO Mei-Na, WU Qiong-Shui, CHEN Guan-Quan   

  1. Center of Analysis and Measurements, College of Chemistry and Molecular Science, Wuhan University, Wuhan 430072, China
  • Received:2003-12-29 Online:2005-01-10 Published:2005-01-10

PDF (PC)

摘要： 提出了一种改进的阿达玛变换(HT)显微荧光图像分析系统,以单细胞试样分析为基础,分别对系统的分辨率和解码后的图像恢复过程进行了讨论.结果表明,该系统可应用于单细胞形态分析和定量分析.图像在x和y方向的像素分辨率相同,并达到了同一成像物镜下的空间分辨率水平,因此在获取微米级单细胞试样的微弱荧光信号的二维图像时,系统的成像能力较好,可用于单细胞形态分析.对花粉细胞的荧光衰退过程的定量分析结果表明,对不同HT图像提供的同一系列试样的定量数据进行比较时,必须对所有该系列试样的图像恢复过程进行归一化处理.

关键词: 阿达玛变换, 光谱成像, 荧光显微术, 图像恢复, 单细胞分析

Abstract: An improved system of Hadamard transform(HT) microscopic fluorescence imaging was presented. Based on the measurements of single-cell samples, the resolving ability of the system and the process of image recovery were discussed respectively. The results show that the system can be used for both single-cell morphological and quantitative analysis. Pixel resolution of the HT images is identical in x and y two-dimension, and reaches to the resolving power of the microscope under the same imaging lens, hence the system's imaging ability is reliable when the two-dimensional HT image of micron-scale single-cell samples should be obtained, and the system can be effectively applied to the single-cell morphological analysis. The quantitative measurement of fluorescence bleaching of pollen cells demonstrates that the process of image recovery for all these samples should be initialized, when the quantitative data of a same series of samples provided by different HT images should be mathematically compared.

Key words: Hadamard transform, Spectral imaging, Fluorescence microscopy, Image recovery, Single-cell analysis

中图分类号: 

TrendMD: