Smart Phone based Microscopic Image Acquisition and Quantifying System for Detecting Dengue

Ramakrishna M M, V. Karthikeyan
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Abstract

Mobile phones with high end configurations are now a found day-to-day use everywhere even in the rural side. At the same time, Healthcare sectors are extending their technological support to reach the villages to get benefits in spite of their geographical distance and connectivity with the urban facilities. It is necessary to rectify the problems in healthcare field particularly on the short resource areas by finding modern techniques. For microscopic imaging applications, researchers have created various unique devices that enable the high resolution picture taking, communication, and processing abilities of mobile phones. We believe that contemporary mobile phones with cameras larger than 8 Mega Pixels are capable of obtaining high-resolution images at a wide ways of amplifications useful for single-cell imaging. Automated focus of the camera, as well as color gain requirements, result in decreased image resolutions, lowering color capture accuracy. As a result, we devised a strategy for reducing such roadblocks to precise image quantification. These microscopic images taken from mobile phone can be very reliable and simple to get the quantitative microscopic images for various kinds of medical and scientific applications.
基于智能手机的登革热显微图像采集与定量检测系统
高端配置的手机现在随处可见,甚至在农村地区也是如此。与此同时,卫生保健部门正在扩大其技术支持,使农村能够受益,尽管它们与城市设施的地理距离和连通性较远。有必要通过寻找现代技术手段来纠正卫生保健领域特别是资源短缺地区存在的问题。对于显微成像应用,研究人员已经创造了各种独特的设备,使高分辨率的照片拍摄,通信和处理能力的手机。我们相信,拥有大于800万像素摄像头的当代手机能够以多种放大方式获得高分辨率图像,这对单细胞成像很有用。相机的自动对焦,以及色彩增益要求,导致图像分辨率下降,降低色彩捕捉精度。因此,我们设计了一种策略来减少这种障碍,以实现精确的图像量化。这些从手机上拍摄的显微图像可以非常可靠和简单地获得定量显微图像,用于各种医学和科学应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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