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Proceedings Paper

A fully-automated multiscale kernel graph cuts based particle localization scheme for temporal focusing two-photon microscopy
Author(s): Xia Huang; Chunqiang Li; Chuan Xiao; Wenqing Sun; Wei Qian
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Paper Abstract

The temporal focusing two-photon microscope (TFM) is developed to perform depth resolved wide field fluorescence imaging by capturing frames sequentially. However, due to strong nonignorable noises and diffraction rings surrounding particles, further researches are extremely formidable without a precise particle localization technique. In this paper, we developed a fully-automated scheme to locate particles positions with high noise tolerance. Our scheme includes the following procedures: noise reduction using a hybrid Kalman filter method, particle segmentation based on a multiscale kernel graph cuts global and local segmentation algorithm, and a kinematic estimation based particle tracking method. Both isolated and partial-overlapped particles can be accurately identified with removal of unrelated pixels. Based on our quantitative analysis, 96.22% isolated particles and 84.19% partial-overlapped particles were successfully detected.

Paper Details

Date Published: 13 March 2017
PDF: 7 pages
Proc. SPIE 10137, Medical Imaging 2017: Biomedical Applications in Molecular, Structural, and Functional Imaging, 101371I (13 March 2017); doi: 10.1117/12.2254567
Show Author Affiliations
Xia Huang, The Univ. of Texas at El Paso (United States)
Chunqiang Li, The Univ. of Texas at El Paso (United States)
Chuan Xiao, The Univ. of Texas at El Paso (United States)
Wenqing Sun, The Univ. of Texas at El Paso (United States)
Wei Qian, The Univ. of Texas at El Paso (United States)


Published in SPIE Proceedings Vol. 10137:
Medical Imaging 2017: Biomedical Applications in Molecular, Structural, and Functional Imaging
Andrzej Krol; Barjor Gimi, Editor(s)

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