Detection and quantification of fluorescent cell clusters in cryo-imaging.
Detection and quantification of fluorescent cell clusters in cryo-imaging.
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DOI：
10.1155/2012/698413
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发表时间：
2012
影响因子：
7.6
通讯作者：
Wilson DL
中科院分区：
文献类型：
--
作者：
Steyer GJ;Dong F;Kanodia L;Roy D;Penn M;Wilson DL
我们开发并评估了用于计数荧光标记细胞的算法（例如，干细胞和癌细胞），显微镜分辨率，冷冻图像体积。荧光细胞簇被检测，分割，然后用模型拟合，该模型结合了关于细胞大小，形状和强度的先验信息。稳健的算法在体模和组织成像测试中表现良好，包括小鼠中细胞的准确计数（误差<2%）。初步实验表明，冷冻成像和软件可以独特地分析干细胞治疗剂的递送、归巢到器官和组织分布。
We developed and evaluated an algorithm for enumerating fluorescently labeled cells (e.g., stem and cancer cells) in mouse-sized, microscopic-resolution, cryo-image volumes. Fluorescent cell clusters were detected, segmented, and then fit with a model which incorporated a priori information about cell size, shape, and intensity. The robust algorithm performed well in phantom and tissue imaging tests, including accurate (<2% error) counting of cells in mouse. Preliminary experiments demonstrate that cryo-imaging and software can uniquely analyze delivery, homing to an organ and tissue distribution of stem cell therapeutics.