首页> 外文期刊>Sensors and Actuators >Image stacking approach to increase sensitivity of fluorescence detection using a low cost complementary metal-oxide-semiconductor (CMOS) webcam
【24h】

Image stacking approach to increase sensitivity of fluorescence detection using a low cost complementary metal-oxide-semiconductor (CMOS) webcam

机译:使用低成本互补金属氧化物半导体(CMOS)网络摄像头的图像堆叠方法可提高荧光检测的灵敏度

获取原文
获取原文并翻译 | 示例
           

摘要

Optical technologies are important for biological analysis. Current biomedical optical analyses rely on high-cost, high-sensitivity optical detectors such as photomultipliers, avalanched photodiodes or cooled CCD cameras. In contrast, Webcams, mobile phones and other popular consumer electronics use lower-sensitivity, lower-cost optical components such as photodiodes or CMOS sensors. In order for consumer electronics devices, such as webcams, to be useful for biomedical analysis, they must have increased sensitivity. We combined two strategies to increase the sensitivity of CMOS-based fluorescence detector.1. We captured hundreds of low sensitivity images using a Webcam in video mode, instead of a single image typically used in cooled CCD devices.2. We then used a computational approach consisting of an image stacking algorithm to remove the noise by combining all of the images into a single image.While video mode is widely used for dynamic scene imaging (e.g. movies or time-lapse photography), it is not used to capture a single static image, which removes noise and increases sensitivity by more than thirty fold. The portable, battery-operated Webcam-based fluorometer system developed here consists of five modules: (1) a low cost CMOS Webcam to monitor light emission, (2) a plate to perform assays, (3) filters and multi-wavelength LED illuminator for fluorophore excitation, (4) a portable computer to acquire and analyze images, and (5) image stacking software for image enhancement. The samples consisted of various concentrations of fluorescein, ranging from 30μM to 1000 u.M, in a 36-well miniature plate. In the single frame mode, the fluorometer's limit-of-detection (LOD) for fluorescein is ~1000μM, which is relatively insensitive. However, when used in video mode combined with image stacking enhancement, the LOD is dramatically reduced to 30 |xM, sensitivity which is similar to that of state-of-the-art ELISA plate photomultiplier-based readers. Numerous medical diagnostics assays rely on optical and fluorescence readers. Our novel combination of detection technologies, which is new to biodetection may enable the development of new low cost optical detectors based on an inexpensive Webcam (<$10). It has the potential to form the basis for high sensitivity, low cost medical diagnostics in resource-poor settings.
机译:光学技术对于生物学分析很重要。当前的生物医学光学分析依赖于高成本,高灵敏度的光学检测器,例如光电倍增管,雪崩光电二极管或冷却的CCD相机。相比之下,网络摄像头,移动电话和其他流行的消费电子产品使用灵敏度较低,成本较低的光学组件,例如光电二极管或CMOS传感器。为了使诸如网络摄像头之类的消费电子设备可用于生物医学分析,它们必须具有更高的灵敏度。我们结合了两种策略来提高基于CMOS的荧光检测器的灵敏度。1。我们使用摄像头在视频模式下捕获了数百个低灵敏度图像,而不是通常在冷却的CCD设备中使用的单个图像。2。然后,我们使用了一种由图像叠加算法组成的计算方法,通过将所有图像合成为单个图像来消除噪声。虽然视频模式广泛用于动态场景成像(例如电影或延时摄影),但并不是用于捕获单个静态图像,该图像可消除噪音并将灵敏度提高三十倍以上。此处开发的基于电池的便携式电池供电荧光计系统由五个模块组成:(1)低成本的CMOS网络摄像头,用于监控光的发射;(2)可以进行检测的板;(3)滤光片和多波长LED照明器(4)便携式计算机以获取和分析图像,以及(5)用于图像增强的图像堆叠软件。样品由36孔微型平板中的各种浓度的荧光素组成,范围从30μM到1000 uM。在单帧模式下,荧光计的荧光素检测限(LOD)为〜1000μM,相对不敏感。但是,当在视频模式下结合图像堆叠增强功能使用时,LOD显着降低至30 xM,灵敏度与基于最新ELISA板光电倍增管的阅读器相似。许多医学诊断测定法都依赖于光学和荧光读取器。我们对生物检测来说是新颖的检测技术的新颖组合,可以使基于便宜的网络摄像头(<10美元)的新型低成本光学检测器得以开发。它有可能为资源匮乏地区的高灵敏度,低成本医学诊断奠定基础。

著录项

  • 来源
    《Sensors and Actuators》 |2012年第2012期|p.141-147|共7页
  • 作者单位

    Division of Biology, Office of Science and Engineering, FDA, Silver Spring, MD 20993, United States,University of Maryland College Park (UMCP), College Park, MD 20742, United States;

    University of Maryland College Park (UMCP), College Park, MD 20742, United States;

    Center for Advanced Sensor Technology, University of Maryland Baltimore County. MD 21250, United States;

    Division of Biology, Office of Science and Engineering, FDA, Silver Spring, MD 20993, United States,National Cancer Institute, Bethesda, MD 20892, United States,NIH/NCI, 6130 Executive Blvd. EPN, Room 6035A,Rockville, MD 20852, United States;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    webcam; image stacking; CMOS; CCD; LED; fluorescence; fluorometer; global health;

    机译:摄像头;图像堆叠;CMOS;CCD;发光二极管;荧光荧光计全球健康;

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