Confocal Raman image method with maximum likelihood method

Cui, H. , Wang, Y., Qiu, L. and Zhao, W. (2017) Confocal Raman image method with maximum likelihood method. Spectroscopy and Spectral Analysis, 37(5), pp. 1571-1575.

Cui, H. , Wang, Y., Qiu, L. and Zhao, W. (2017) Confocal Raman image method with maximum likelihood method. Spectroscopy and Spectral Analysis, 37(5), pp. 1571-1575.

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Abstract

With the increasing interest in nano microscopic area, such as DNA sequencing, micro structure detection of molecular nano devices, a higher requirement for the spatial resolution of Raman spectroscopy is demanded. However, because of the weak Raman signal, the pinhole size of confocal Raman microscopy is usually a few hundreds microns to ensure a relatively higher spectrum throughput, but the large pinhole size limits the improvements of spatial resolution of confoal Raman spectroscopy. As a result, the convential confocal Raman spectroscopy has been unable to meet the needs of science development. Therefore, a confocal Raman image method with Maximum Likelihood image restoration algorithm based on the convential confocal Raman microscope is propose. This method combines super-resolution image restoration technology and confocal Raman microscopy to realize super-resolution imaging, by using Maximum Likelihood image restoration algorithm based on Poisson-Markov model to conduct image restoration processing on the Raman image, and the high frequency information of the image is recovered, and then the spatial resolution of Raman image is improved and the super-resolution image is realized. Simulation analyses and experimental results indicate that the proposed confocal Raman image method with Maximum Likelihood image restoration algorithm can improve the spatial resolution to 200 nm without losing any Raman spectral signal under the same condition with convential confocal Raman microscopy, moreover it has strong noise suppression capability. In conclusion, the method can provide a new approach for material science, life sciences, biomedicine and other frontiers areas. This method is an effective confocal Raman image method with high spatial resolution.

Item Type:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Cui, Dr Han
Authors: Cui, H., Wang, Y., Qiu, L., and Zhao, W.
Subjects:Q Science > QC Physics
College/School:College of Science and Engineering > School of Engineering > Biomedical Engineering
Journal Name:Spectroscopy and Spectral Analysis
Publisher:The Chinese Optical Society
ISSN:1000-0593
Copyright Holders:Copyright © 2017 The Chinese Optical Society
First Published:First published in Spectroscopy and Spectral Analysis 37(5):1571-1575
Publisher Policy:Reproduced in accordance with the copyright policy of the publisher.

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