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Title: Ct3d: tracking microglia motility in 3D using a novel cosegmentation approach
Author: Xiao, Hang ; Li, Ying ; null(杜久林) ; Mosig, Axel
Source: BIOINFORMATICS
Issued Date: 2011
Volume: 27, Issue:4, Pages:564-571
Keyword: IN-VIVO ; FLUORESCENCE MICROSCOPY ; 2-PHOTON MICROSCOPY ; ACTIVE CONTOURS ; CELL TRACKING ; SEGMENTATION ; IMAGES ; ACTIVATION ; FILTERS
Subject: Biochemistry & Molecular Biology ; Biotechnology & Applied Microbiology ; Computer Science ; Mathematical & Computational Biology ; Mathematics
Corresponding Author: Du, JL (reprint author), Shanghai Inst Biol Sci, Inst Neurosci, 320 Yue Yang Rd, Shanghai 200031, Peoples R China,forestdu@ion.ac.cn ; axel@picb.ac.cn
English Abstract: Motivation: Cell tracking is an important method to quantitatively analyze time-lapse microscopy data. While numerous methods and tools exist for tracking cells in 2D time-lapse images, only few and very application-specific tracking tools are available for 3D time-lapse images, which is of high relevance in immunoimaging, in particular for studying the motility of microglia in vivo. Results: We introduce a novel algorithm for tracking cells in 3D time-lapse microscopy data, based on computing cosegmentations between component trees representing individual time frames using the so-called tree-assignments. For the first time, our method allows to track microglia in three dimensional confocal time-lapse microscopy images. We also evaluate our method on synthetically generated data, demonstrating that our algorithm is robust even in the presence of different types of inhomogeneous background noise.
Indexed Type: sci
Language: 英语
Content Type: 期刊论文
URI: http://ir.sibs.ac.cn/handle/331001/1552
Appears in Collections:神经所(总)_期刊论文
感觉整合与行为研究组_期刊论文

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Recommended Citation:
Xiao, Hang; Li, Ying; Du, Jiulin; Mosig, Axel.Ct3d: tracking microglia motility in 3D using a novel cosegmentation approach,BIOINFORMATICS,2011,27(4):564-571
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