Sartorius Transforms Cell Imagery into Data with CloudFactory's Annotation Solution
公司规模
1,000+
地区
- Europe
国家
- Germany
产品
- IncucyteⓇ Live-Cell Analysis System
- Dataloop
- CloudFactory’s Data Annotation Solution
技术栈
- Machine Learning
- Artificial Intelligence
- Data Annotation
实施规模
- Enterprise-wide Deployment
影响指标
- Customer Satisfaction
- Innovation Output
- Productivity Improvements
技术
- 分析与建模 - 机器学习
- 分析与建模 - 预测分析
- 应用基础设施与中间件 - 数据可视化
适用行业
- 医疗保健和医院
适用功能
- 产品研发
- 质量保证
用例
- 机器状态监测
- 预测性维护
- 远程资产管理
服务
- 数据科学服务
- 系统集成
- 培训
关于客户
Sartorius is a biotechnology company that supports scientists and engineers in developing and manufacturing medications for incurable diseases. By simplifying workflows, enabling faster research, and reducing human error, Sartorius helps the biopharmaceutical industry bring improved medications to patients quickly and safely. One of their key products is the IncucyteⓇ Live-Cell Analysis System, which quantifies cell behavior and captures cellular changes using high-definition phase and fluorescence images. This system extracts and records image data in real-time, allowing scientists to observe complex biological changes as they happen. It also employs machine learning and artificial intelligence to help customers extract more information from samples in simple, easy ways.
挑战
The IncucyteⓇ Live-Cell Analysis System automates live-cell imaging, producing a vast number of microscopic images that are beyond human capacity to analyze. Neural networks can handle this task, but they require a large, annotated dataset for training. Sartorius needed to identify and characterize individual cells within these images, which contain hundreds to millions of cells in various shapes and sizes. Although the IncucyteⓇ system has integrated software for automatic cell segmentation, it requires user training and bespoke analysis for different cell types. The neural network method, however, allows for a single analysis across a wide range of cell types without user training. Faced with the diversity and volume of cells needed for the training dataset, Sartorius realized they couldn't manage the annotation process alone.
解决方案
Rickard Sjögren, a senior scientist at Sartorius, led the initiative to find a solution for the data annotation problem. After comparing several vendors, Sartorius chose to partner with CloudFactory for three main reasons: low turnover and a dedicated team of data analysts, matching values in terms of ethical workforce practices, and the combination of CloudFactory’s managed workforce with the Dataloop platform. CloudFactory’s data analysts use Dataloop to perform individual cell segmentation and identify key cell types among thousands in each image. Nicola Bevan, Manager of Cell Imaging Applications, highlighted that the combination of workforce and platform contributes to project success. CloudFactory’s trained annotators apply precision labeling techniques to complex microscopy images, even when cells are touching, out of focus, or overlapping. They also support cell tracking projects by drawing bounding boxes around cells as they move between frames in time-lapse datasets.
运营影响
数量效益
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