Super-Resolution Reconstruction of Cell Pseudo-Color Image Based on Raman Technology

doi:10.3390/s19194076

CIOMP OpenIR

	Super-Resolution Reconstruction of Cell Pseudo-Color Image Based on Raman Technology
	Y.F.Yang; M.Zhu; Y.Q.Wang; H.Yang; Y.F.Wu; B.Li
	2019
发表期刊	Sensors
卷号	19 期号:19 页码:23
摘要	Raman spectroscopy visualization is a challenging task due to the interference of complex background noise and the number of selected measurement points. In this paper, a super-resolution image reconstruction algorithm for Raman spectroscopy is studied to convert raw Raman data into pseudo-color super-resolution imaging. Firstly, the Raman spectrum data of a single measurement point is measured multiple times to calculate the mean value to remove the random background noise, and innovatively introduce the Retinex algorithm and the median filtering algorithm which improve the signal-to-noise ratio. The novel method of using deep neural network performs a super-resolution reconstruction operation on the gray image. An adaptive guided filter that automatically adjusts the filter radius and penalty factor is proposed to highlight the contour of the cell, and the super-resolution reconstruction of the pseudo-color image of the Raman spectrum is realized. The average signal-to-noise ratio of the reconstructed pseudo-color image sub-band reaches 14.29 db, and the average value of information entropy reaches 4.30 db. The results show that the Raman-based cell pseudo-color image super-resolution reconstruction algorithm is an effective tool to effectively remove noise and high-resolution visualization. The contrast experiments show that the pseudo-color image Kullback-Leiber (KL) entropy of the color image obtained by the method is small, the boundary is obvious, and the noise is small, which provide technical support for the development of sophisticated single-cell imaging Raman spectroscopy instruments.
关键词	Raman spectroscopy,imaging,peak,deep neural network,pseudo-color,surface,safety,Chemistry,Engineering,Instruments & Instrumentation
DOI	10.3390/s19194076
收录类别	SCI ; EI
语种	英语
引用统计
文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/62868
专题	中国科学院长春光学精密机械与物理研究所
推荐引用方式 GB/T 7714	Y.F.Yang,M.Zhu,Y.Q.Wang,et al. Super-Resolution Reconstruction of Cell Pseudo-Color Image Based on Raman Technology[J]. Sensors,2019,19(19):23.
APA	Y.F.Yang,M.Zhu,Y.Q.Wang,H.Yang,Y.F.Wu,&B.Li.(2019).Super-Resolution Reconstruction of Cell Pseudo-Color Image Based on Raman Technology.Sensors,19(19),23.
MLA	Y.F.Yang,et al."Super-Resolution Reconstruction of Cell Pseudo-Color Image Based on Raman Technology".Sensors 19.19(2019):23.

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