便携式设备用于免实验室通用核酸提取的开发与验证

便携式核酸提取设备开发与验证数据集,包含HIV和SARS-CoV-2样本的提取实验数据,用于评估低离心力现场核酸提取性能。

Taylor & FrancisTaylor & Francis
DataCite Commons
2025-09-17 更新
浏览 17
表格、图像Field deployableHIVlab-free extractionnucleic acidspoint-of-needsample preparationSARS-CoV-2
Development and validation of a portable device for lab-free versatile nucleic acid extraction

基本信息

模态
表格、图像
大小
0.023704745 GB
许可
CC BY 4.0
创建/更新时间
2025-09-17
版本
v1

资源简介

便携式设备用于免实验室通用核酸提取的开发与验证

【一句话概览】

本数据集是 figshare 公开的影像数据集,收录 2 个文件、合计 23.70 MB,主题涵盖 Field deployable、HIV、lab-free extraction、nucleic acids、point-of-need,可用于医学图像分割、检测与分类模型的训练与评测,CC BY 4.0 许可开放获取。

【数据集背景】

本数据集源站标题为《Development and validation of a portable device for lab-free versatile nucleic acid extraction》。配套论文《Development and validation of a portable device for lab-free versatile nucleic acid extraction》发表于 BioTechniques(2024),DOI:10.1080/07366205.2024.2427544。项目资助方:This work was partially supported by the National Science Foundation (2319913, 2045169), the National Institute of Health (R33AI147419, R33HD105610), and USDA (NIFA 2022-11225).。源站首次发布:2024-12-02。

【数据内容】

源站原始描述:Nucleic acid testing (NAT) has revolutionized diagnostics by providing precise, rapid, and scalable detection methods for diverse biological samples. These recent advancements satisfy the increasing demand for on-site diagnostics, yet sample preparation remains a significant bottleneck for achieving highly sensitive diagnostic assays. There is an unmet need for compatible, efficient, and lab-free sample preparation for point-of-care NAT. To address this, we developed a portable, lab-free, and ba…

【数据结构与技术规格】

文件数 2 个,合计 23.70 MB。数据集 DOI:10.6084/m9.figshare.27940821.v1。

【主题与分类】

源站学科分类:Biochemistry、Space Science、Medicine、Biotechnology、Environmental Sciences not elsewhere classified、Chemical Sciences not elsewhere classified。主题标签:Field deployable、HIV、lab-free extraction、nucleic acids、point-of-need、sample preparation、SARS-CoV-2。

【适用方向】

影像类数据可用于医学图像分析模型(检测、分割、分类)的训练与评测,也可用于标注质量与成像参数相关性的研究。

【获取与许可】

源站页面:https://tandf.figshare.com/articles/dataset/Development_and_validation_of_a_portable_device_for_lab-free_versatile_nucleic_acid_extraction/27940821

使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。

规范引用:Development and validation of a portable device for lab-free versatile nucleic acid extraction. Taylor & Francis. Politza, Anthony J.; Liu, Tianyi; Kshirsagar, Aneesh; Dong, Ming; Ahamed, Md. Ahasan; Guan, Weihua

【使用注意】

· 源站最后修改于 2025-09-17,引用时请注意版本时效。

官方服务

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从合规授权、采集治理、专业标注到数据集交付,我们提供全链路闭环服务,让高质量临床数据即拿即用。

⚡️ 需要原始数据或标注支持?联系我们获取定制方案。

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下载信息

注册下载

需要注册 Kaggle 账号并登录后下载,适合需要跟踪下载记录和使用 API 的用户。

暂未开放

公开下载

无需注册即可直接获取公开样本或文档,适合快速预览和评估数据集质量。

免登录

有偿下载

公开数据集受托下载与技术交付服务。

提供高速下载与技术交付服务(收技术服务费,非数据销售)

暂未开放

当前数据集主要来源为 Kaggle 公开托管,完整影像包建议通过原始链接或 Kaggle API 获取。

使用方式

数据集获取(Figshare)

命令行下载

curl -L -o "Supplementary_Information_w_Highlights.docx" "https://ndownloader.figshare.com/files/50916666"
curl -L -o "Supplementary_Video_V1_480p.mp4" "https://ndownloader.figshare.com/files/50916669"

文件清单

  • Supplementary_Information_w_Highlights.docx(15.10 MB)
  • Supplementary_Video_V1_480p.mp4(8.61 MB)

文件总体积 23.70 MB(源站 API 实测)。

数据加载示例(图像类)

from PIL import Image
import glob, os

files = (glob.glob(os.path.join(path, "**", "*.png"), recursive=True)
       + glob.glob(os.path.join(path, "**", "*.jpg"), recursive=True)
       + glob.glob(os.path.join(path, "**", "*.tif"), recursive=True))
print("图像文件数:", len(files))
img = Image.open(files[0]); print("尺寸/模式:", img.size, img.mode)

# torchvision Dataset 方式:
# from torchvision import datasets
# ds = datasets.ImageFolder(path)  # 要求 子目录=类别

目录组织与标注格式以源站说明和下载后实际文件为准。

数据说明

Nucleic acid testing (NAT) has revolutionized diagnostics by providing precise, rapid, and scalable detection methods for diverse biological samples. These recent advancements satisfy the increasing demand for on-site diagnostics, yet sample preparation remains a significant bottleneck for achieving highly sensitive diagnostic assays. There is an unmet need for compatible, efficient, and lab-free sample preparation for point-of-care NAT. To address this, we developed a portable, lab-free, and battery-powered device for extracting nucleic acids. We explored using low centrifugal forces with existing commercial chemistry, demonstrating excellent performance. We designed and tested a battery-powered device to enable lab-free extractions, and verified reagents stored out to 6 months, suggesting exceptional deployment capabilities. We evaluated our device, comparing our results against those from a benchtop centrifuge across three types of samples: HIV RNA in buffer, HIV RNA in plasma, and SARS-CoV-2 RNA in saliva. The portable device demonstrated excellent agreement with the benchtop centrifuge, indicating high reliability. By providing an effective on-site sample preparation solution, the widespread adoption of low centrifugal extractions will improve the sensitivity and reliability of NAT and will positively impact other point-of-care technologies such as next generation sequencing (NGS), biomarker detection, and environmental monitoring.
This method utilizes a low-power, portable centrifuge to significantly improve the deployment of nucleic acid extractions. As a result, this method offers comparable extraction performance to benchtop devices while offering superior portability and ease of use. Minimizing centrifugal force allows for reliable nucleic acid extraction from a low-power device. Our approach is simple and uses low-cost electronics, presenting high potential for clinical preparation of RNA in field settings.

Sample preparation continues to be a major bottleneck for sensitive diagnostic assays.
We developed a portable, lab-free, and battery-powered device for extracting nucleic acids.
We demonstrated that a commercial extraction kit could be processe

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.27940821.v1(source: https://tandf.figshare.com/articles/dataset/Development_and_validation_of_a_portable_device_for_lab-free_versatile_nucleic_acid_extraction/27940821)。

数据缺失?

依托陕西、四川两大基地,我们与超过十家三甲医院建立直接合作关系,覆盖合规授权、采集治理、专业标注、数据交付的全流程,为AI医疗团队提供即拿即用的高质量临床数据。

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