尿液中埃及血吸虫虫卵的片上成像用于计算机视觉诊断

数据集获取（Figshare）

• 源站标题：On-Chip Imaging of <i>Schistosoma haematobium</i> Eggs in Urine for Diagnosis by Computer Vision
• DOI：10.1371/journal.pntd.0002547
• 发布日期：2013-12-05
• 文件数：7 个
• 文件总体积：37.77 MB
• 源站页面：https://plos.figshare.com/articles/dataset/On_Chip_Imaging_of_Schistosoma_haematobium_Eggs_in_Urine_for_Diagnosis_by_Computer_Vision/869920

命令行下载

curl -L -o "Supporting_Information_S1.zip" "https://ndownloader.figshare.com/files/1305269"
curl -L -o "Supporting_Information_S2.zip" "https://ndownloader.figshare.com/files/1305270"
curl -L -o "Supporting_Information_S3.zip" "https://ndownloader.figshare.com/files/1305271"
curl -L -o "Supporting_Information_S4.doc" "https://ndownloader.figshare.com/files/1305272"
curl -L -o "Supporting_Information_S5.tif" "https://ndownloader.figshare.com/files/1305273"
curl -L -o "Supporting_Information_S6.zip" "https://ndownloader.figshare.com/files/1305274"
curl -L -o "Supporting_Information_S7.zip" "https://ndownloader.figshare.com/files/1305275"

文件清单

• Supporting_Information_S1.zip（6.46 MB）
• Supporting_Information_S2.zip（9.30 MB）
• Supporting_Information_S3.zip（4.95 MB）
• Supporting_Information_S4.doc（122.88 KB）
• Supporting_Information_S5.tif（6.85 MB）
• Supporting_Information_S6.zip（1.19 MB）
• Supporting_Information_S7.zip（8.88 MB）

文件总体积 37.77 MB（源站 API 实测）。

数据说明

Background
Microscopy, being relatively easy to perform at low cost, is the universal diagnostic method for detection of most globally important parasitic infections. As quality control is hard to maintain, misdiagnosis is common, which affects both estimates of parasite burdens and patient care. Novel techniques for high-resolution imaging and image transfer over data networks may offer solutions to these problems through provision of education, quality assurance and diagnostics. Imaging can be done directly on image sensor chips, a technique possible to exploit commercially for the development of inexpensive “mini-microscopes”. Images can be transferred for analysis both visually and by computer vision both at point-of-care and at remote locations.
Methods/Principal Findings
Here we describe imaging of helminth eggs using mini-microscopes constructed from webcams and mobile phone cameras. The results show that an inexpensive webcam, stripped off its optics to allow direct application of the test sample on the exposed surface of the sensor, yields images of Schistosoma haematobium eggs, which can be identified visually. Using a highly specific image pattern recognition algorithm, 4 out of 5 eggs observed visually could be identified.
Conclusions/Significance
As proof of concept we show that an inexpensive imaging device, such as a webcam, may be easily modified into a microscope, for the detection of helminth eggs based on on-chip imaging. Furthermore, algorithms for helminth egg detection by machine vision can be generated for automated diagnostics. The results can be exploited for constructing simple imaging devices for low-cost diagnostics of urogenital schistosomiasis and other neglected tropical infectious diseases.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.1371/journal.pntd.0002547（source: https://plos.figshare.com/articles/dataset/On_Chip_Imaging_of_Schistosoma_haematobium_Eggs_in_Urine_for_Diagnosis_by_Computer_Vision/869920）。