Magnetically modulated computational cytometer and methods of use

US12038370B2 · kind B2 · utility

Assignee

• The Regents of the University of California · US

Inventors

• Aydogan Ozcan · Los Angeles, US
• Aniruddha Ray · Bengaluru, IN
• Yibo Zhang · Nanhu, CN
• Dino Di Carlo · Los Angeles, US

Key dates

• Filing date: Jul 2, 2020
• Grant date: Jul 16, 2024
• Expiry date: Apr 17, 2041

Classification

• Technology area (CPC G): Physics
• CPC primary: G03H2222/12
• WIPO field: Measurement
• WIPO sector: Instruments

Abstract

A computational cytometer operates using magnetically modulated lensless speckle imaging, which introduces oscillatory motion to magnetic bead-conjugated rare cells of interest through a periodic magnetic force and uses lensless time-resolved holographic speckle imaging to rapidly detect the target cells in three-dimensions (3D). Detection specificity is further enhanced through a deep learning-based classifier that is based on a densely connected pseudo-3D convolutional neural network (P3D CNN), which automatically detects rare cells of interest based on their spatio-temporal features under a controlled magnetic force. This compact, cost-effective and high-throughput computational cytometer can be used for rare cell detection and quantification in bodily fluids for a variety of biomedical applications.