AI on a chip

A Isozaki, J Harmon, Y Zhou, S Li, Y Nakagawa… - Lab on a Chip, 2020 - pubs.rsc.org
Artificial intelligence (AI) has dramatically changed the landscape of science, industry,
defence, and medicine in the last several years. Supported by considerably enhanced …

High-throughput microfluidic imaging flow cytometry

S Stavrakis, G Holzner, J Choo, A DeMello - Current opinion in …, 2019 - Elsevier
Highlights•Microfluidic strategies for cell focusing are beneficial for the precise and accurate
characterization of single cells in flow.•Camera-based imaging flow cytometers provide ultra …

High-throughput imaging flow cytometry by optofluidic time-stretch microscopy

C Lei, H Kobayashi, Y Wu, M Li, A Isozaki… - Nature protocols, 2018 - nature.com
The ability to rapidly assay morphological and intracellular molecular variations within large
heterogeneous populations of cells is essential for understanding and exploiting cellular …

Advances in the microrheology of complex fluids

TA Waigh - Reports on Progress in Physics, 2016 - iopscience.iop.org
New developments in the microrheology of complex fluids are considered. Firstly the
requirements for a simple modern particle tracking microrheology experiment are …

Ultrafast laser-scanning time-stretch imaging at visible wavelengths

JL Wu, YQ Xu, JJ Xu, XM Wei, A Chan… - Light: Science & …, 2017 - nature.com
Optical time-stretch imaging enables the continuous capture of non-repetitive events in real
time at a line-scan rate of tens of MHz—a distinct advantage for the ultrafast dynamics …

A practical guide to intelligent image-activated cell sorting

A Isozaki, H Mikami, K Hiramatsu, S Sakuma, Y Kasai… - Nature protocols, 2019 - nature.com
Intelligent image-activated cell sorting (iIACS) is a machine-intelligence technology that
performs real-time intelligent image-based sorting of single cells with high throughput. iIACS …

Large-scale multi-class image-based cell classification with deep learning

N Meng, EY Lam, KK Tsia… - IEEE journal of biomedical …, 2018 - ieeexplore.ieee.org
Recent advances in ultra-high-throughput microscopy have enabled a new generation of
cell classification methodologies using image-based cell phenotypes alone. In contrast to …

Optical time-stretch imaging: Principles and applications

C Lei, B Guo, Z Cheng, K Goda - Applied Physics Reviews, 2016 - pubs.aip.org
Breathtaking innovations in optical imaging have opened new exciting avenues for science,
industry, and medicine over the last few decades. One of such innovations is optical time …

Review and prospect of single-shot ultrafast optical imaging by active detection

X Zeng, X Lu, C Wang, K Wu, Y Cai, H Zhong… - Ultrafast …, 2023 - spj.science.org
In the recent decade, single-shot ultrafast optical imaging by active detection, called single-
shot active ultrafast optical imaging (SS-AUOI) here, has made great progress, eg, with a …

Quantitative phase imaging flow cytometry for ultra‐large‐scale single‐cell biophysical phenotyping

KCM Lee, M Wang, KSE Cheah, GCF Chan… - Cytometry Part …, 2019 - Wiley Online Library
Cellular biophysical properties are the effective label‐free phenotypes indicative of
differences in cell types, states, and functions. However, current biophysical phenotyping …