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利用手机显微镜实时分析生物样本的成像系统和算法。

Imaging systems and algorithms to analyze biological samples in real-time using mobile phone microscopy.

机构信息

Lumme Inc., Amherst, MA, United States of America.

Electrical and Computer Engineering, University of Massachusetts Amherst, Amherst, MA, United States of America.

出版信息

PLoS One. 2018 Mar 6;13(3):e0193797. doi: 10.1371/journal.pone.0193797. eCollection 2018.

Abstract

Miniaturized imaging devices have pushed the boundaries of point-of-care imaging, but existing mobile-phone-based imaging systems do not exploit the full potential of smart phones. This work demonstrates the use of simple imaging configurations to deliver superior image quality and the ability to handle a wide range of biological samples. Results presented in this work are from analysis of fluorescent beads under fluorescence imaging, as well as helminth eggs and freshwater mussel larvae under white light imaging. To demonstrate versatility of the systems, real time analysis and post-processing results of the sample count and sample size are presented in both still images and videos of flowing samples.

摘要

微型成像设备推动了即时成像的发展,但现有的基于手机的成像系统并未充分发挥智能手机的潜力。本工作展示了简单成像配置的使用,可提供卓越的图像质量和处理各种生物样本的能力。本工作中的结果来自荧光珠在荧光成像下以及寄生虫卵和淡水贻贝幼虫在白光成像下的分析。为了展示系统的多功能性,实时分析和对样本数量和样本大小的后处理结果以流动样本的静态图像和视频的形式呈现。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba85/5839566/33bf2b002c8b/pone.0193797.g009.jpg

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