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基于细胞的生物传感器,用于使用无透镜成像实时检测心脏毒性。

A cell-based biosensor for real-time detection of cardiotoxicity using lensfree imaging.

机构信息

Center for Biomedical Engineering, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA.

出版信息

Lab Chip. 2011 May 21;11(10):1801-7. doi: 10.1039/c1lc20098d. Epub 2011 Apr 11.

DOI:10.1039/c1lc20098d
PMID:21483937
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3611966/
Abstract

A portable and cost-effective real-time cardiotoxicity biosensor was developed using a CMOS imaging module extracted from a commercially available webcam. The detection system consists of a CMOS imaging module, a white LED and a pinhole. Real-time image processing was conducted by comparing reference and live frame images. To evaluate the engineered system, the effects of two different drugs, isoprenaline and doxorubicin, on the beating rate and beat-to-beat variations of ESC-derived cardiomyocytes were measured. The detection system was used to conclude that the beat-to-beat variability increased under treatment with both isoprenaline and doxorubicin. However, the beating rates increased upon the addition of isoprenaline but decreased for cultures supplemented with doxorubicin. Moreover, the response time for both the beating rates and the beat-to-beat variability of ESC-derived cardiomyocytes under treatment of isoprenaline was shorter than for doxorubicin, although the amount of isoprenaline used in the measurement was three orders of magnitude lower than that of doxorubicin. Given its ability to perform real-time cell monitoring in a simple and inexpensive manner, the proposed system may be useful for a range of cell-based biosensing applications.

摘要

研究人员利用从市售网络摄像头上提取的 CMOS 成像模块,开发出一种便携式、具有成本效益的实时心脏毒性生物传感器。该检测系统由 CMOS 成像模块、白色 LED 和小孔组成。通过比较参考帧和实时帧图像来进行实时图像处理。为了评估该工程系统,研究人员测量了两种不同药物——异丙肾上腺素和阿霉素对 ESC 衍生心肌细胞跳动率和跳动间隔变化的影响。检测系统的结论是,在两种药物的作用下,跳动间隔的可变性增加。然而,加入异丙肾上腺素会增加跳动率,但加入阿霉素会降低跳动率。此外,ESC 衍生心肌细胞在异丙肾上腺素作用下的跳动率和跳动间隔变化的响应时间比阿霉素短,尽管测量中使用的异丙肾上腺素的量比阿霉素低三个数量级。鉴于该系统能够以简单且廉价的方式进行实时细胞监测,因此它可能在各种基于细胞的生物传感应用中有用。

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