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Proceedings Paper

A novel Kalman filter based video image processing scheme for two-photon fluorescence microscopy
Author(s): Wenqing Sun; Xia Huang; Chunqiang Li; Chuan Xiao; Wei Qian
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Paper Abstract

Two-photon fluorescence microscopy (TPFM) is a perfect optical imaging equipment to monitor the interaction between fast moving viruses and hosts. However, due to strong unavoidable background noises from the culture, videos obtained by this technique are too noisy to elaborate this fast infection process without video image processing. In this study, we developed a novel scheme to eliminate background noises, recover background bacteria images and improve video qualities. In our scheme, we modified and implemented the following methods for both host and virus videos: correlation method, round identification method, tree-structured nonlinear filters, Kalman filters, and cell tracking method. After these procedures, most of noises were eliminated and host images were recovered with their moving directions and speed highlighted in the videos. From the analysis of the processed videos, 93% bacteria and 98% viruses were correctly detected in each frame on average.

Paper Details

Date Published: 29 March 2016
PDF: 7 pages
Proc. SPIE 9788, Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging, 97881I (29 March 2016); doi: 10.1117/12.2216129
Show Author Affiliations
Wenqing Sun, Univ. of Texas at El Paso (United States)
Xia Huang, Univ. of Texas at El Paso (United States)
Chunqiang Li, Univ. of Texas at El Paso (United States)
Chuan Xiao, Univ. of Texas at El Paso (United States)
Wei Qian, Univ. of Texas at El Paso (United States)


Published in SPIE Proceedings Vol. 9788:
Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging
Barjor Gimi; Andrzej Krol, Editor(s)

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