Self-Learning Microfluidic Platform for Single-Cell Imaging and Classification in Flow

Self-Learning Microfluidic Platform for Single-Cell Imaging and Classification in Flow

Single-cell analysis commonly requires the confinement of cell suspensions in an analysis chamber or the precise positioning of single cells in small channels. Hydrodynamic flow focusing has been broadly utilized to achieve stream confinement in microchannels for such applications. As imaging flow c...

Full description

Bibliographic Details
Main Authors: Iordania Constantinou, Michael Jendrusch, Théo Aspert, Frederik Görlitz, André Schulze, Gilles Charvin, Michael Knop
Format: Article
Language:English
Published: MDPI AG 2019-05-01
Series:Micromachines
Subjects:
microfluidics
3D flow focusing
3D particle focusing
particle/cell imaging
bioMEMS
unsupervised learning
neural networks
variational inference
Online Access:https://www.mdpi.com/2072-666X/10/5/311

Internet

https://www.mdpi.com/2072-666X/10/5/311

Similar Items