Deep Learning based Cell Classification in Imaging Flow Cytometer
Yi Gu, A. Chen, Xin Zhang, Chao Fan, Kang Li, Jinsong Shen
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.
Topics & Concepts
Deep learningSortingComputer scienceThroughputArtificial intelligenceFocus (optics)Flow (mathematics)Cell sortingCellChemistryOpticsWirelessGeometryProgramming languagePhysicsMathematicsTelecommunicationsBiochemistryCell Image Analysis TechniquesMicrofluidic and Bio-sensing TechnologiesImage Processing Techniques and Applications