Imaging technologies for flow cytometry

Y Han, Y Gu, AC Zhang, YH Lo - Lab on a Chip, 2016 - pubs.rsc.org
High-throughput single cell imaging is a critical enabling and driving technology in
molecular and cellular biology, biotechnology, medicine and related areas. Imaging flow …

Review and perspectives on microfluidic flow cytometers

RJ Yang, LM Fu, HH Hou - Sensors and Actuators B: Chemical, 2018 - Elsevier
Modern microflow cytometers are sophisticated instruments capable of measuring multiple
physical characteristics of a single cell simultaneously as the cells flow in suspension …

Punching holes in light: recent progress in single-shot coded-aperture optical imaging

J Liang - Reports on Progress in Physics, 2020 - iopscience.iop.org
Single-shot coded-aperture optical imaging physically captures a code-aperture-modulated
optical signal in one exposure and then recovers the scene via computational image …

Neuromorphic-enabled video-activated cell sorting

W He, J Zhu, Y Feng, F Liang, K You, H Chai… - Nature …, 2024 - nature.com
Imaging flow cytometry allows image-activated cell sorting (IACS) with enhanced feature
dimensions in cellular morphology, structure, and composition. However, existing IACS …

Machine‐learning‐assisted intelligent imaging flow cytometry: A review

S Luo, Y Shi, LK Chin, PE Hutchinson… - Advanced Intelligent …, 2021 - Wiley Online Library
Imaging flow cytometry has been widely adopted in numerous applications such as optical
sensing, environmental monitoring, clinical diagnostics, and precision agriculture. The …

[PDF][PDF] Deep learning based cell classification in imaging flow cytometer

Y Gu, A Chen, X Zhang, C Fan, K Li… - ASP Transactions on …, 2021 - scholar.archive.org
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 …

Optofluidic time-stretch imaging–an emerging tool for high-throughput imaging flow cytometry

AKS Lau, HC Shum, KKY Wong, KK Tsia - Lab on a Chip, 2016 - pubs.rsc.org
Optical imaging is arguably the most effective tool to visualize living cells with high
spatiotemporal resolution and in a nearly noninvasive manner. Driven by this capability …

Signal processing for time-of-flight imaging sensors: An introduction to inverse problems in computational 3-D imaging

A Bhandari, R Raskar - IEEE Signal Processing Magazine, 2016 - ieeexplore.ieee.org
Time-of-flight (ToF) sensors offer a cost-effective and realtime solution to the problem of
three-dimensional (3-D) imaging-a theme that has revolutionized our sceneunderstanding …

Real-time fluorescence imaging flow cytometry enabled by motion deblurring and deep learning algorithms

Y Wang, Z Huang, X Wang, F Yang, X Yao, T Pan, B Li… - Lab on a Chip, 2023 - pubs.rsc.org
Fluorescence imaging flow cytometry (IFC) has been demonstrated as a crucial biomedical
technique for analyzing specific cell subpopulations from heterogeneous cellular …

3D manipulation and imaging of plant cells using acoustically activated microbubbles

NF Läubli, N Shamsudhin, H Vogler… - Small …, 2019 - Wiley Online Library
The precise manipulation of single cells and organisms opens exciting new possibilities for
biological research. In this work, an acoustic rotational manipulation method for imaging …