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A portable device using a single-board computer for white light and uorescence widefield images

机译:一种便携式设备,使用单板计算机用于白光和荧光景象

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In a world with a growing need for rapid medical diagnosis, point-of-care devices based on optics have becomean interesting solution. Moreover, the low cost, simplicity, and ease of use also become essential to be applied ina clinical environment. Nowadays, smartphones are an attractive, user-friendly option, but the rapid changes inthe models, the variety of brands, and the risk of contamination of personal smartphones in a clinical situationmake this choose not the best one. Single-board computers as Raspberry Pi can be an alternative for a low-costimaging device that allows image acquisition, visualization, and processing. This study describes a portablesystem capable of acquiring and processing white light and fluorescence images, suitable for clinical purposes.The system consists of a single-board computer (Raspberry Pi 3B+, Raspberry Pi Foundation, UK) coupled toa digital camera and a touchscreen display. The portable device comprises six violet LEDs (emitting at 407 nm)to excite the tissue and a long-pass optical filter to acquire the fluorescence images; four white LEDs to obtainthe white light one, besides a digital camera to perform the acquisition itself. The images are saved in the singleboardcomputer, where an algorithm written in Python (Python Foundation) calibrates the camera, acquires,and processes the acquired images, interacting with the user through touch with a GUI. Being a portable, easyto use, low-cost system, this device is convenient to be used in a clinical environment and allows a fast diagnosisand the possibility to be reproduced for widespread point-of-care use.
机译:在越来越需要快速医疗诊断的世界中,基于光学的护理点设备已成为一个有趣的解决方案。此外,低成本,简单性和易用性也是必须应用的临床环境。如今,智能手机是一个有吸引力,用户友好的选择,但快速变化模型,品牌各种品牌,以及临床局势中个人智能手机污染的风险使这不是最好的。单板计算机作为覆盆子PI可以是低成本的替代方案允许图像采集,可视化和处理的成像设备。这项研究描述了一个便携式能够获取和处理白光和荧光图像的系统,适用于临床目的。该系统由单板计算机(Raspberry Pi 3b +,覆盆子Pi Foundation,UK)组成数码相机和触摸屏显示器。便携式设备包括六个紫罗兰色LED(在407nm处发出)激发组织和长通光学滤光器以获取荧光图像;四个白色LED获得除了数码相机之外,白光也可以执行采集。图像保存在单板中计算机,其中在Python(Python Foundation)中编写的算法校准相机,获取,并处理所获取的图像,通过用GUI触摸与用户交互。是一个便携式,轻松使用,低成本系统,该装置在临床环境中使用方便,允许快速诊断并且可以转载广泛的护理点使用。

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