首页> 外文会议>International Joint Conference on Computer Science and Software Engineering >RGB Color Measuringc Tool Of Simple Colorimetric Detection For High Throughput Antioxidant Capacity Assay On Well Plate
【24h】

RGB Color Measuringc Tool Of Simple Colorimetric Detection For High Throughput Antioxidant Capacity Assay On Well Plate

机译:简单比色检测的RGB彩色测量工具,用于在井板上进行高通量的抗氧化能力测定

获取原文

摘要

High throughput screening (HTS) assays is routinely used in basic biochemical, cell biology and drug discovery research. A system called Simple Colorimetric Detection (SCD) for HST of antioxidant capacity was presented. It performs on colorimetric method that uses observable colors of chemical reaction to estimate the antioxidant concentration. Previously, manual detecting the color intensity by using an image editor tool was used. It takes a lot of time and workforce. In this work, we proposes an automatic color measuring method for the SCD system. The proposed method consists of four steps. It obtains a color image of well plate as an input image. In the first step, region of well plate is d etermined. Next, we apply an edge detection and morphological techniques to obtain all objects on the well plate in the second step. The obtaining objects on the well plate are classified into spot or non-spot. The radius and eccentricity of each object are used for this purpose. In the third step, all spot locations are estimated by using the information of detected spots. Finally, color intensities of each spot is measured. The experimental results show that the proposed method perfectly detected all spots on well plate images generated from the SCD instrument. Moreover, it performed well in measuring color intensity values with acceptable precision. We additionally demonstrated how it works in practical with real dataset obtained from the SCD system.
机译:高通量筛选(HTS)分析通常用于基础生化,细胞生物学和药物发现研究。提出了一种称为简单比色检测(SCD)的抗氧化能力HST的系统。它采用比色法进行,该比色法使用可观察到的化学反应颜色估算抗氧化剂的浓度。以前,使用通过使用图像编辑器工具手动检测颜色强度的方法。这需要大量时间和劳动力。在这项工作中,我们提出了一种用于SCD系统的自动颜色测量方法。所提出的方法包括四个步骤。获得孔板的彩色图像作为输入图像。第一步,确定孔板的区域。接下来,我们在第二步中应用边缘检测和形态学技术来获得孔板上的所有对象。孔板上的获取对象分为斑点或非斑点。为此,使用每个对象的半径和偏心率。在第三步骤中,通过使用检测到的斑点的信息来估计所有斑点的位置。最后,测量每个斑点的颜色强度。实验结果表明,该方法可以很好地检测出SCD仪器产生的孔板图像上的所有斑点。而且,它在以可接受的精度测量色彩强度值方面表现良好。我们还演示了它如何与从SCD系统获得的真实数据集一起实际使用。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号