LOC-Based High-Throughput Cell Morphology Analysis System
LOC-Based High-Throughput Cell Morphology Analysis System
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DOI：
10.1109/tase.2015.2462118
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发表时间：
2015-10-01
影响因子：
5.6
通讯作者：
Sakamoto, Naoaki
中科院分区：
文献类型：
--
作者：
Gu, Qingyi;Kawahara, Tomohiro;Sakamoto, Naoaki
针对微通道中快速流动的细胞，提出了一种基于视觉的高速形态分析系统。实时视频处理是在硬件逻辑中通过提取512个256像素图像中的矩特征和边界框来执行的，速度为2000fps。提取的细胞区域在按比例缩小到一定大小后被推入先进先出(FIFO)缓冲区，用于基于图像的实时形态分析。通过硬件逻辑提取细胞区域的包围盒，并将细胞区域缩小到一定的大小以减少处理时间，我们的高速视觉系统可以在快速微通道流中对500cell/S的细胞进行快速的形态分析。此外，显微镜下所有通过的细胞的快照都被存储起来，以供离线验证。对海胆胚胎在微通道中快速流动的大小、偏心率和透明度进行的实时实验结果验证了我们基于视觉的细胞分析系统的有效性。
We present a high-speed vision-based morphological analysis system for fast-flowing cells in a microchannel. Real-time video processing is performed in hardware logic by extracting the moment features and bounding boxes of multiple cells in 512 256-pixel images at 2000 fps. The extracted cell regions are pushed into a first-in-first-out (FIFO) buffer for real-time image-based morphological analysis after being shrunk proportionally to a certain size. By extracting the bounding boxes of the cell regions using hardware logic and shrinking the cell region to a certain size to reduce processing time, our high-speed vision system can perform fast morphological analysis of cells at 500 cells/s in fast microchannel flows. Moreover, snapshots of all passed cells under the microscope are stored for offline verification. The results of real-time experiments conducted to analyze the size, eccentricity, and transparency of sea urchin embryos flowing fast in microchannels verify the efficacy of our vision-based cell analysis system.