工作流程
管道运输
用户友好型
软件
化学
可视化
计算机科学
纳米技术
计算机图形学(图像)
人工智能
材料科学
数据库
操作系统
有机化学
程序设计语言
作者
Immanuel Sanka,Simona Bartkova,Pille Pata,Mart Ernits,Monika Merje Meinberg,Natali Agu,Villem Aruoja,Olli‐Pekka Smolander,Ott Scheler
标识
DOI:10.1016/j.aca.2023.341397
摘要
Water-in-oil droplets allow performing massive experimental parallelization and high-throughput studies, such as single-cell experiments. However, analyzing such vast arrays of droplets usually requires advanced expertise and sophisticated workflow tools, which limits accessibility for a wider user base in the fields of chemistry and biology. Thus, there is a need for more user-friendly tools for droplet analysis. In this article, we deliver a set of analytical pipelines for user-friendly analysis of typical scenarios in droplet experiments. We built pipelines that combine various open-source image-analysis software with a custom-developed data processing tool called "EasyFlow". Our pipelines are applicable to the typical experimental scenarios that users encounter when working with droplets: i) mono- and polydisperse droplets, ii) brightfield and fluorescent images, iii) droplet and object detection, iv) signal profile of droplets and objects (e.g., fluorescence).
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