快速简便细菌检测微流体毛细电路数据集
提供用于尿路感染快速诊断的微流体毛细电路数据集,包含芯片设计和细菌检测实验数据,检测限达120 CFU/mL。

基本信息
资源简介
快速简便细菌检测微流体毛细电路数据集
【数据集背景】
本数据集源站标题为《Microfluidic Capillaric Circuit for Rapid and Facile
Bacteria Detection》。配套论文《Microfluidic Capillaric Circuit for Rapid and Facile
Bacteria Detection》发表于 Analytical Chemistry(2017),DOI:10.1021/acs.analchem.7b01315。源站首次发布:2017-05-25。
【数据内容】
源站原始描述:Urinary tract infections (UTI) are one of the most common bacterial infections and would greatly benefit from a rapid point-of-care diagnostic test. Although significant progress has been made in developing microfluidic systems for nucleic acid and whole bacteria immunoassay tests, their practical application is limited by complex protocols, bulky peripherals, and slow operation. Here we present a microfluidic capillaric circuit (CC) optimized for rapid and automated detection of bacteria in uri…
【数据结构与技术规格】
文件数 1 个,合计 3.78 MB。ac7b01315_si_001.zip:application/zip,3.78 MB。数据集 DOI:10.1021/acs.analchem.7b01315.s001。
【主题与分类】
源站学科分类:Space Science、Medicine、Microbiology、Biotechnology、Ecology、Immunology。主题标签:urine、delivery steps、microfluidic systems、bacteria sample、design rules、Fluorescence images、peripheral-free CC、biotinylated detection antibodies、Facile Bacteria Detection Urinary tract infections、sequential delivery。
【适用方向】
结构化表格数据可直接用于统计建模、特征工程与队列分析。
【获取与许可】
源站页面:https://acs.figshare.com/articles/dataset/Microfluidic_Capillaric_Circuit_for_Rapid_and_Facile_Bacteria_Detection/5080819
使用许可:CC BY-NC 4.0(https://creativecommons.org/licenses/by-nc/4.0/)。
规范引用:Olanrewaju, Ayokunle Oluwafemi; Ng, Andy; DeCorwin-Martin, Philippe; Robillard, Alessandra; Juncker, David (2017). Microfluidic Capillaric Circuit for Rapid and Facile Bacteria Detection. ACS Publications. Dataset
【使用注意】
· 源站最后修改于 2023-05-31,引用时请注意版本时效。
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)
- 源站标题:Microfluidic Capillaric Circuit for Rapid and Facile
Bacteria Detection - DOI:10.1021/acs.analchem.7b01315.s001
- 发布日期:2017-05-25
- 文件数:1 个
- 文件总体积:3.78 MB
- 源站页面:https://acs.figshare.com/articles/dataset/Microfluidic_Capillaric_Circuit_for_Rapid_and_Facile_Bacteria_Detection/5080819
命令行下载
curl -L -o "ac7b01315_si_001.zip" "https://ndownloader.figshare.com/files/8599057"
文件清单
ac7b01315_si_001.zip(3.78 MB)
文件总体积 3.78 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
Urinary
tract infections (UTI) are one of the most common bacterial
infections and would greatly benefit from a rapid point-of-care diagnostic
test. Although significant progress has been made in developing microfluidic
systems for nucleic acid and whole bacteria immunoassay tests, their
practical application is limited by complex protocols, bulky peripherals,
and slow operation. Here we present a microfluidic capillaric circuit
(CC) optimized for rapid and automated detection of bacteria in urine.
Molds for CCs were constructed using previously established design
rules, then 3D-printed and replicated into poly(dimethylsiloxane).
CCs autonomously and sequentially performed all liquid delivery steps
required for the assay. For efficient bacteria capture, on-the-spot
packing of antibody-functionalized microbeads was completed in E. coli in
synthetic urine was 1.2 × 102 colony-forming-units
per mL (CFU/mL), which is well below the clinical diagnostic criterion
(>105 CFU/mL) for UTI. The self-powered, peripheral-free
CC presented here has potential for use in rapid point-of-care UTI
screening.
许可
CC BY-NC 4.0
引用
学术使用请引用 DOI 10.1021/acs.analchem.7b01315.s001(source: https://acs.figshare.com/articles/dataset/Microfluidic_Capillaric_Circuit_for_Rapid_and_Facile_Bacteria_Detection/5080819)。
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。
⚡️ 需要数据支持或标注服务?立即联系我们获取专业方案。




