用于自动尿液分析的人工智能驱动片上实验室盒。

IF 2.5 4区 医学 Q3 BIOCHEMICAL RESEARCH METHODS
Avinash Sahu, Srinivasan Kandaswamy, Dhanu Vardhan Singh, Eshwarmurthy Thyagarajan, Arun Koushik Parthasarathy, Sharitha Naganna, Tathagato Rai Dastidar
{"title":"用于自动尿液分析的人工智能驱动片上实验室盒。","authors":"Avinash Sahu,&nbsp;Srinivasan Kandaswamy,&nbsp;Dhanu Vardhan Singh,&nbsp;Eshwarmurthy Thyagarajan,&nbsp;Arun Koushik Parthasarathy,&nbsp;Sharitha Naganna,&nbsp;Tathagato Rai Dastidar","doi":"10.1016/j.slast.2024.100137","DOIUrl":null,"url":null,"abstract":"<div><p>After haematology, urinalysis is the most common biological test performed in clinical settings. Hence, simplified workflow and automated analysis of urine elements are of absolute necessities. In the present work, a novel lab-on-chip cartridge (Gravity Sedimentation Cartridge) for the auto analysis of urine elements is developed. The GSC consists of a capillary chamber that uptakes a raw urine sample by capillary force and performs particles and cells enrichment within 5 min through a gravity sedimentation process for the microscopic examination. Centrifugation, which is necessary for enrichment in the conventional method, was circumvented in this approach. The AI100 device (Image based autoanalyzer) captures microscopic images from the cartridge at 40x magnification and uploads them into the cloud. Further, these images were auto-analyzed using an AI-based object detection model, which delivers the reports. These reports were available for expert review on a web-based platform that enables evidence-based tele reporting. A comparative analysis was carried out for various analytical parameters of the data generated through GSC (manual microscopy, tele reporting, and AI model) with the gold standard method. The presented approach makes it a viable product for automated urinalysis in point-of-care and large-scale settings.</p></div>","PeriodicalId":54248,"journal":{"name":"SLAS Technology","volume":null,"pages":null},"PeriodicalIF":2.5000,"publicationDate":"2024-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2472630324000190/pdfft?md5=add5eea0974eb49916491074aa244764&pid=1-s2.0-S2472630324000190-main.pdf","citationCount":"0","resultStr":"{\"title\":\"AI Driven Lab-on-Chip Cartridge for Automated Urinalysis\",\"authors\":\"Avinash Sahu,&nbsp;Srinivasan Kandaswamy,&nbsp;Dhanu Vardhan Singh,&nbsp;Eshwarmurthy Thyagarajan,&nbsp;Arun Koushik Parthasarathy,&nbsp;Sharitha Naganna,&nbsp;Tathagato Rai Dastidar\",\"doi\":\"10.1016/j.slast.2024.100137\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>After haematology, urinalysis is the most common biological test performed in clinical settings. Hence, simplified workflow and automated analysis of urine elements are of absolute necessities. In the present work, a novel lab-on-chip cartridge (Gravity Sedimentation Cartridge) for the auto analysis of urine elements is developed. The GSC consists of a capillary chamber that uptakes a raw urine sample by capillary force and performs particles and cells enrichment within 5 min through a gravity sedimentation process for the microscopic examination. Centrifugation, which is necessary for enrichment in the conventional method, was circumvented in this approach. The AI100 device (Image based autoanalyzer) captures microscopic images from the cartridge at 40x magnification and uploads them into the cloud. Further, these images were auto-analyzed using an AI-based object detection model, which delivers the reports. These reports were available for expert review on a web-based platform that enables evidence-based tele reporting. A comparative analysis was carried out for various analytical parameters of the data generated through GSC (manual microscopy, tele reporting, and AI model) with the gold standard method. The presented approach makes it a viable product for automated urinalysis in point-of-care and large-scale settings.</p></div>\",\"PeriodicalId\":54248,\"journal\":{\"name\":\"SLAS Technology\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.5000,\"publicationDate\":\"2024-04-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S2472630324000190/pdfft?md5=add5eea0974eb49916491074aa244764&pid=1-s2.0-S2472630324000190-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"SLAS Technology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2472630324000190\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"BIOCHEMICAL RESEARCH METHODS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"SLAS Technology","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2472630324000190","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
引用次数: 0

摘要

尿液分析是继血液分析之后临床上最常见的生物检测项目。因此,简化工作流程和自动分析尿液元素是绝对必要的。在本研究中,我们开发了一种用于尿液元素自动分析的新型片上实验室试剂盒(重力沉降试剂盒)。重力沉降盒由一个毛细管室组成,利用毛细管的力量吸取原始尿液样本,通过重力沉降过程在 5 分钟内富集颗粒和细胞,进行显微镜检查。这种方法避免了传统方法中富集所需的离心过程。AI100 设备(基于图像的自动分析仪)以 40 倍的放大率捕捉盒中的显微图像,并将其上传到云端。此外,还使用基于人工智能的物体检测模型对这些图像进行自动分析,并提供报告。这些报告可在基于网络的平台上供专家审查,该平台可提供基于证据的远程报告。通过 GSC(手动显微镜检查、远程报告和人工智能模型)生成的数据的各种分析参数与黄金标准方法进行了比较分析。所提出的方法使其成为在护理点和大规模环境中进行自动尿液分析的可行产品。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
AI Driven Lab-on-Chip Cartridge for Automated Urinalysis

After haematology, urinalysis is the most common biological test performed in clinical settings. Hence, simplified workflow and automated analysis of urine elements are of absolute necessities. In the present work, a novel lab-on-chip cartridge (Gravity Sedimentation Cartridge) for the auto analysis of urine elements is developed. The GSC consists of a capillary chamber that uptakes a raw urine sample by capillary force and performs particles and cells enrichment within 5 min through a gravity sedimentation process for the microscopic examination. Centrifugation, which is necessary for enrichment in the conventional method, was circumvented in this approach. The AI100 device (Image based autoanalyzer) captures microscopic images from the cartridge at 40x magnification and uploads them into the cloud. Further, these images were auto-analyzed using an AI-based object detection model, which delivers the reports. These reports were available for expert review on a web-based platform that enables evidence-based tele reporting. A comparative analysis was carried out for various analytical parameters of the data generated through GSC (manual microscopy, tele reporting, and AI model) with the gold standard method. The presented approach makes it a viable product for automated urinalysis in point-of-care and large-scale settings.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
SLAS Technology
SLAS Technology Computer Science-Computer Science Applications
CiteScore
6.30
自引率
7.40%
发文量
47
审稿时长
106 days
期刊介绍: SLAS Technology emphasizes scientific and technical advances that enable and improve life sciences research and development; drug-delivery; diagnostics; biomedical and molecular imaging; and personalized and precision medicine. This includes high-throughput and other laboratory automation technologies; micro/nanotechnologies; analytical, separation and quantitative techniques; synthetic chemistry and biology; informatics (data analysis, statistics, bio, genomic and chemoinformatics); and more.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信