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一种基于扫描探针显微镜获得的拓扑数据来近似双极细胞体体积的边界限定算法。

A boundary delimitation algorithm to approximate cell soma volumes of bipolar cells from topographical data obtained by scanning probe microscopy.

机构信息

Ruhr University of Bochum, Germany.

出版信息

BMC Bioinformatics. 2010 Jun 15;11:323. doi: 10.1186/1471-2105-11-323.

DOI:10.1186/1471-2105-11-323
PMID:20550692
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2912302/
Abstract

BACKGROUND

Cell volume determination plays a pivotal role in the investigation of the biophysical mechanisms underlying various cellular processes. Whereas light microscopy in principle enables one to obtain three dimensional data, the reconstruction of cell volume from z-stacks is a time consuming procedure. Thus, three dimensional topographic representations of cells are easier to obtain by scanning probe microscopical measurements.

RESULTS

We present a method of separating the cell soma volume of bipolar cells in adherent cell cultures from the contributions of the cell processes from data obtained by scanning ion conductance microscopy. Soma volume changes between successive scans obtained from the same cell can then be computed even if the cell is changing its position within the observed area. We demonstrate that the estimation of the cell volume on the basis of the width and the length of a cell may lead to erroneous determination of cell volume changes.

CONCLUSIONS

We provide a new algorithm to repeatedly determine single cell soma volume and thus to quantify cell volume changes during cell movements occuring over a time range of hours.

摘要

背景

细胞体积的测定在研究各种细胞过程的生物物理机制中起着关键作用。虽然光学显微镜原则上可以获得三维数据,但从 z 堆叠重建细胞体积是一个耗时的过程。因此,通过扫描探针显微镜测量更容易获得细胞的三维形貌。

结果

我们提出了一种从扫描离子电导显微镜获得的数据中分离贴壁细胞培养的双极细胞体体积与其细胞突起贡献的方法。即使细胞在观察区域内改变位置,也可以计算出从同一细胞获得的连续扫描之间的体体积变化。我们证明,基于细胞的宽度和长度来估计细胞体积可能导致细胞体积变化的错误确定。

结论

我们提供了一种新的算法来反复确定单个细胞体体积,从而量化在数小时时间范围内发生的细胞运动过程中的细胞体积变化。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/21ce/2912302/069875dd6923/1471-2105-11-323-12.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/21ce/2912302/069875dd6923/1471-2105-11-323-12.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/21ce/2912302/2ff7d3ddcefe/1471-2105-11-323-1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/21ce/2912302/7db558844ad1/1471-2105-11-323-2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/21ce/2912302/7661b5a1c4cb/1471-2105-11-323-3.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/21ce/2912302/520c8f3569b1/1471-2105-11-323-6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/21ce/2912302/53a03278df8f/1471-2105-11-323-7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/21ce/2912302/7b8e01c92808/1471-2105-11-323-8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/21ce/2912302/0fe5dca46e0e/1471-2105-11-323-9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/21ce/2912302/6db161b07de2/1471-2105-11-323-10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/21ce/2912302/cd6bbf692aa5/1471-2105-11-323-11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/21ce/2912302/069875dd6923/1471-2105-11-323-12.jpg

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