Neuromorphic-enabled video-activated cell sorting

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Authors: Wenhui Wang, Weihua He, Junwen Zhu, Jingjing Zhao
Cited by: 0

Abstract

Imaging flow cytometry allows image-activated cell sorting (IACS) with enhanced feature dimensions in cellular morphology, structure, and composition. However, existing IACS frameworks suffer from the challenges of 3D information loss and processing latency dilemma in real-time sorting operation. Herein, we establish a neuromorphic-enabled video-activated cell sorter (NEVACS) framework, designed to achieve high-dimensional spatiotemporal characterization content alongside high-throughput sorting of particles in wide field of view.

Fields of Study & Subjects

Microfluidic and Bio-sensing Technologies Cell Image Analysis Techniques Advanced Memory and Neural Computing

Publication details

Journal / source
Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues
Pages
25–25
Publication date
4 March 2026
Language
EN