Accurate Morphology Preserving Segmentation of Overlapping Cells based on Active Contours.
Accurate Morphology Preserving Segmentation of Overlapping Cells based on Active Contours.
复制标题
DOI：
10.1038/srep32412
复制
发表时间：
2016-08-26
影响因子：
4.6
通讯作者：
Horvath P
中科院分区：
文献类型：
--
作者：
Molnar C;Jermyn IH;Kato Z;Rahkama V;Östling P;Mikkonen P;Pietiäinen V;Horvath P
荧光染色细胞核的识别是高内涵显微镜实验中细胞检测、分割和特征提取的基础。单细胞的核形态也是表型变异的重要指标之一。然而，实验中使用的细胞可能会失去接触抑制，因此可能会相互堆积，使得使用当前的分割方法检测单个细胞极具挑战性。我们在这里介绍的模型甚至可以在具有许多重叠细胞核的高汇合细胞培养物中检测细胞核及其形态。我们将“近圆气体”活动轮廓模型与新的数据模型相结合，该模型有利于圆形形状，但允许其周围略有变化。这捕捉到了许多显微成像技术的共同特性：叠加原子核的强度是相加的，因此，例如，两个重叠原子核的总强度大约是单个原子核强度的两倍。我们通过将结果与广泛使用的方法以及专家手动图像分割获得的结果进行比较，展示了我们的方法在细胞显微图像上的强大功能。
The identification of fluorescently stained cell nuclei is the basis of cell detection, segmentation, and feature extraction in high content microscopy experiments. The nuclear morphology of single cells is also one of the essential indicators of phenotypic variation. However, the cells used in experiments can lose their contact inhibition, and can therefore pile up on top of each other, making the detection of single cells extremely challenging using current segmentation methods. The model we present here can detect cell nuclei and their morphology even in high-confluency cell cultures with many overlapping cell nuclei. We combine the “gas of near circles” active contour model, which favors circular shapes but allows slight variations around them, with a new data model. This captures a common property of many microscopic imaging techniques: the intensities from superposed nuclei are additive, so that two overlapping nuclei, for example, have a total intensity that is approximately double the intensity of a single nucleus. We demonstrate the power of our method on microscopic images of cells, comparing the results with those obtained from a widely used approach, and with manual image segmentations by experts.
登录
查看更多内容
影响因子：
64.8
作者：
通讯作者：
--
影响因子：
3.7
作者：
Martin HL;Adams M;Higgins J;Bond J;Morrison EE;Bell SM;Warriner S;Nelson A;Tomlinson DC
通讯作者：
Tomlinson DC
影响因子：
12.3
作者：
Carpenter AE;Jones TR;Lamprecht MR;Clarke C;Kang IH;Friman O;Guertin DA;Chang JH;Lindquist RA;Moffat J;Golland P;Sabatini DM
通讯作者：
Sabatini DM
影响因子：
23.4
作者：
Marques, Rute B.;Aghai, Ashraf;van Weerden, Wytske M.
通讯作者：
van Weerden, Wytske M.
影响因子：
2.7
作者：
Collins, Tony J.
通讯作者：
Collins, Tony J.