[1]袁彬峰,汪之又,黄彩霞,等.基于重映射的 SPRI 视频自动找点方法[J].计算机技术与发展,2021,31(08):33-38.[doi:10. 3969 / j. issn. 1673-629X. 2021. 08. 006]
　YUAN Bin-feng,WANG Zhi-you,HUANG Cai-xia,et al.Automatic Spot Identification Method for Surface Plasmon Resonance Imaging Based on Remapping[J].,2021,31(08):33-38.[doi:10. 3969 / j. issn. 1673-629X. 2021. 08. 006]
点击复制

基于重映射的 SPRI 视频自动找点方法()

《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
31
期数:
2021年08期
页码:
33-38
栏目:
图形与图像
出版日期:
2021-08-10

文章信息/Info

Title:
Automatic Spot Identification Method for Surface Plasmon Resonance Imaging Based on Remapping
文章编号:
1673-629X(2021)08-0033-06
作者:
袁彬峰1; 汪之又2; 黄彩霞3; 罗 宇1
1. 国防科技大学 计算机学院,湖南 长沙 410073;
2. 长沙学院 电子信息与电气工程学院,湖南 长沙 410022;
3. 长沙学院 计算机工程与应用数学学院,湖南 长沙 410022
Author(s):
YUAN Bin-feng1; WANG Zhi-you2; HUANG Cai-xia3; LUO Yu1
1. School of Computer Science and Technology,National University of Defense Technology,Changsha 410073,China;
2. School of Electromechanical Engineering,Changsha University,Changsha 410022,China;
3. School of Mathmatics and Computer Science,Changsha University,Changsha 410022,China
关键词:
表面等离子共振成像; 图像处理; 重映射; 蛋白质微阵列; 嵌入式
Keywords:
surface plasmon resonance imaging; image processing; remapping; protein microarray; embedded
分类号:
TP751. 1
DOI:
10. 3969 / j. issn. 1673-629X. 2021. 08. 006
摘要:
表面等离子共振成像(SPRI)是一种高灵敏度,高通量的,可用于实时分析生物蛋白间的相互作用的新技术。 由于高通量,不需要额外标记等优点,该技术广泛应用于药物筛选、食品检测、环境监测等领域。 实现 SPRI 视频自动化分析的关键是自动定位 SPRI 视频图像中的蛋白阵列,为解决该问题提出了基于重映射的 SPRI 视频自动找点的算法。 算法需要输入生物芯片的打印效果图和 SPRI 视频图像,处理过程分为六个部分:截取,边缘检测,椭圆拟合,阵列识别,坐标映射和自动校准,输出 SPRI 视频中蛋白点阵列的坐标矩阵。 算法基于将打印效果图中的蛋白点坐标重映射为 SPRI 视频中蛋白点坐标思路实现。 实验结果表明,该算法能准确定位 SPRI 视频中的蛋白阵列,不受蛋白点的阵列模式和 SPRI 视频中噪音的影响。 并且算法定位 SPRI 视频中蛋白阵列耗时短,支持在嵌入式设备上实时分析 SPRI 视频.
Abstract:
Surface plasm on resonance imaging (SPRI) is a new technology with high sensitivity and high through put,which can be used to analyze the interaction between proteins in real time. Due to label free and high through put,it is widely used in drug screening,food detection,environmental monitoring and other fields. The key to automatic analysis of SPRI video is to automatically locate the protein array in the SPRI video image. In order to solve this problem,an algorithm based on remapping? ?for automatic spot identification of SPRI video is proposed. The algorithm needs to input the printed image of biochip and frame of SPRI video. The processing can be divided into six parts:image crop,edge detection,ellipse fitting,array recognition,remapping and automatic alignment,and output the coordinate matrix of protein point array in SPRI video. The algorithm is based on the idea of remapping the coordinates of the protein points in the printed renderings to the coordinates of the protein points in the SPRI video. The experiment shows that the proposed algorithm can locate the protein array in the SPRI video accurately,regardless of the pattern of protein points and the noise in the SPRI video. It also takes less time to locate the protein array in SPRI video,and supports real-time analysis of SPRI video on embedded devices.

相似文献/References:

[1]李雷 张建民.一种改善的基于支持向量机的边缘检测算子[J].计算机技术与发展,2010,(03):125.
　LI Lei,ZHANG Jian-min.An Improved Edge Detector Using the Support Vector Machines[J].,2010,(08):125.
[2]张艳丽 保文星.粒子群优化算法在图像边缘检测中的研究应用[J].计算机技术与发展,2009,(05):26.
　ZHANG Yan-li,BAO Wen-xing.Research and Application of Image Edge Detection Based on PSO Algorithm[J].,2009,(08):26.
[3]詹金兰 李翠华.模拟实验系统的可视化研究[J].计算机技术与发展,2009,(05):228.
　ZHAN Jin-lan,LI Cui-hua.Visualization Research on Simulation Experiment System[J].,2009,(08):228.
[4]张家栋 张强 霍凯.图像处理在轴承荧光磁粉探伤中的应用研究[J].计算机技术与发展,2009,(08):216.
　ZHANG Jia-dong,ZHANG Qiang,HUO Kai.Study on Application of Image Processing in Bearing Fluorescent Magnetic Detection[J].,2009,(08):216.
[5]王文豪 张亚红 朱全银 单劲松.QR Code二维条形码的图像识别[J].计算机技术与发展,2009,(10):123.
　WANG Wen-hao,ZHANG Ya-hong,ZHU Quan-yin,et al.Image Recognition in 2 - D Bar Code Based on QR Code[J].,2009,(08):123.
[6]李孟歆 吴成东.粗糙集理论在图像处理中的应用[J].计算机技术与发展,2009,(03):208.
　LI Meng-xin,WU Cheng-dong.Rough Set Theory and Its Applications in Image Processing[J].,2009,(08):208.
[7]武彬.一种离焦模糊图像的复原方法[J].计算机技术与发展,2008,(01):74.
　WU Bin.A Method of Defocus Blurred Image Restoration[J].,2008,(08):74.
[8]蒋恩松 肖辉军 孙刘杰 熊清廉.基于机器视觉的套印误差自动检测系统设计[J].计算机技术与发展,2008,(07):173.
　JIANG En-song,XIAO Hui-jun,SUN Liu-jie,et al.Design of Automatic Detecting Printing Registration Deviation System Based on Machine Vision[J].,2008,(08):173.
[9]汪继文 林胜华 沈玉峰 邱剑锋.一种基于各向异性扩散的图像处理方法[J].计算机技术与发展,2008,(08):98.
　WANG Ji-wen,LIN Sheng-hua,SHEN Yu-feng,et al.An Approach for Image Restoration Based on Anisotropic Diffusion[J].,2008,(08):98.
[10]余志强 戎蒙恬 袁丹寿.一种用单端口SRAM构成的FIFO的ASIC设计[J].计算机技术与发展,2008,(09):159.
　YU Zhi-qiang,RONG Meng-tian,YUAN Dan-shou.ASIC Design of an FIFO Involving Single Port SRAM[J].,2008,(08):159.

更新日期/Last Update: 2021-08-10