显微智能手机附件在远程术前实验室检测中的应用。

IF 3.2 Q1 HEALTH CARE SCIENCES & SERVICES
Frontiers in digital health Pub Date : 2024-11-28 eCollection Date: 2024-01-01 DOI:10.3389/fdgth.2024.1461559
Kefan Song, Alexander T Adams
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引用次数: 0

摘要

目前的术前检查指南利用广泛的实验室检查,包括血液检查和尿液分析,这是评估手术准备的关键。然而,后勤方面的挑战,特别是对于长途跋涉寻求高质量医疗服务的患者来说,造成了严重的延误和负担。本研究旨在通过应用先前开发的点护理(POC)设备系统来执行准确和快速的实验室测试来解决这些挑战。该设备旨在通过提供一种低成本、便携式的诊断工具,帮助资源有限的医疗保健提供者和患者进行临床和家庭测试。方法:系统从原有的Android平台过渡到iOS平台,进行适应性和兼容性测试。开发了一个自定义应用程序,以保持系统在不同移动平台上捕获最佳细胞图像的能力。该系统的细胞计数算法专门用于处理捕获的图像,具有简化的工作流程,包括图像处理和使用霍夫圆算法的自动细胞检测。结果:该系统提供了高质量的原始图像,像素分辨率为26.3 px/ μ m,空间分辨率为2.19 μ m,便于有效的细胞识别和计数。细胞计数算法具有较高的准确率(0.8663)和召回率(0.9312),算法生成的细胞计数与实际细胞计数的相关系数(r2 = 0.89535)较高。讨论:本研究强调了POC设备简化术前检测的潜力,使其更容易获得和高效,特别是对农村地区或需要旅行就医的患者。未来的增强功能,包括更宽的视场,可调的放大倍率,更先进和集成的算法,以及与微流体通道的集成,用于直接样品分析,被提议扩展设备的功能。该设备的便携性、易用性和快速处理时间使其成为传统实验室测试的一个有前途的替代方案,最终旨在改善患者护理和手术结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application of microscopic smartphone attachment for remote preoperative lab testing.

Introduction: Current preoperative exam guidelines utilize extensive lab tests, including blood tests and urine analysis, which are crucial for assessing surgical readiness. However, logistical challenges, especially for patients traveling long distances for high-quality medical care, create significant delays and burdens. This study aims to address these challenges by applying a previously developed point-of-care (POC) device system to perform accurate and rapid lab tests. This device is designed to assist both healthcare providers in resource-limited settings and patients by offering a low-cost, portable diagnostic tool that enables both in-clinic and at-home testing.

Methods: The system was tested for adaptability and compatibility by transitioning from its original Android platform to an iOS platform. A custom application was developed to maintain the system's capabilities of capturing optimal cell images across different mobile platforms. The system's cell counting algorithm was tailored to process the captured images, featuring a streamlined workflow that includes image processing and automated cell detection using a Hough circle algorithm.

Results: The new system provided good-quality raw images with 26.3 px/ μ m pixel resolution and 2.19  μ m spatial resolution, facilitating effective cell recognition and counting. The cell counting algorithm demonstrated high precision (0.8663) and high recall (0.9312), with a correlation ( R 2 = 0.89535 ) between algorithm-generated counts and actual counts.

Discussion: This study highlights the potential of the POC device to streamline preoperative testing, making it more accessible and efficient, particularly for patients in rural areas or those needing to travel for medical care. Future enhancements, including wider field-of-view, adjustable magnification, more advanced and integrated algorithms as well as integration with a microfluidic channel for direct sample analysis, are proposed to expand the device's functionality. The device's portability, ease of use, and rapid processing time position it as a promising alternative to traditional lab tests, ultimately aiming to improve patient care and surgical outcomes.

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来源期刊
CiteScore
4.20
自引率
0.00%
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审稿时长
13 weeks
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