Deep Learning based Cell Classification in Imaging Flow Cytometer
ASP Transactions on Pattern Recognition and Intelligent Systems(2021)
Abstract
Deep learning is an idea technique for image classification. Imaging flow cytometer enables high throughput cell image acquisition and some have integrated with real-time cell sorting. The combination of deep learning and imaging flow cytometer has changed the landscape of high throughput cell analysis research. In this review, we focus on deep learning technologies applied in imaging flow cytometer for cell classification and real-time cell sorting. This article describes some recent research, challenges and future trend in this area.
MoreTranslated text
Key words
Cellular Imaging,Cell Sorting,Deep Learning,Continuous Flow,Depth Estimation
AI Read Science
Must-Reading Tree
Example
![](https://originalfileserver.aminer.cn/sys/aminer/pubs/mrt_preview.jpeg)
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined