PHASE-BASED SEGMENTATION OF CELLS FROM BRIGHTFIELD MICROSCOPY
PHASE-BASED SEGMENTATION OF CELLS FROM BRIGHTFIELD MICROSCOPY
复制标题
通过明场显微镜对细胞进行基于相位的分割
DOI：
--
复制
发表时间：
2007
期刊：
影响因子：
--
通讯作者：
M. Brady
中科院分区：
文献类型：
--
作者：
R. Ali;M. Gooding;M. Christlieb;M. Brady
明场显微图像中透明细胞的分割有助于相应荧光图像的定量分析。然而，由于不规则的形态和弱强度变化，这提出了一个挑战，特别是在超薄区域。边界检测技术被应用于一系列的可变焦点图像，由此，水平集轮廓被初始化在散焦图像上，具有改善的强度对比度，并且随后使用改善焦点的图像朝向正确的边界演变。局部相位相干性用于识别图像内的特征，特别是在缺乏强度对比度的近焦图像中驱动轮廓演化。初步结果表明，该方法在分割主要细胞体区域方面是有效的
Segmentation of transparent cells in brightfield microscopy images could facilitate the quantitative analysis of corresponding fluorescence images. However, this presents a challenge due to irregular morphology and weak intensity variation, particularly in ultra-thin regions. A boundary detection technique is applied to a series of variable focus images whereby a level set contour is initialised on a defocused image with improved intensity contrast, and subsequently evolved towards the correct boundary using images of improving focus. Local phase coherence is used to identify features within the images, driving contour evolution particularly in near-focus images which lack intensity contrast. Preliminary results demonstrate the effectiveness of this approach in segmenting the main cell body regions