Cell cycle stage classification using phase imaging with computational specificity

YR He, S He, ME Kandel, YJ Lee, C Hu, N Sobh… - ACS …, 2022 - ACS Publications
Traditional methods for cell cycle stage classification rely heavily on fluorescence
microscopy to monitor nuclear dynamics. These methods inevitably face the typical …

[PDF][PDF] Quantitative cell cycle analysis based on an endogenous all-in-one reporter for cell tracking and classification

T Zerjatke, IA Gak, D Kirova, M Fuhrmann, K Daniel… - Cell reports, 2017 - cell.com
Cell cycle kinetics are crucial to cell fate decisions. Although live imaging has provided
extensive insights into this relationship at the single-cell level, the limited number of …

[HTML][HTML] Phase imaging with computational specificity (PICS) for measuring dry mass changes in sub-cellular compartments

ME Kandel, YR He, YJ Lee, THY Chen… - Nature …, 2020 - nature.com
Due to its specificity, fluorescence microscopy has become a quintessential imaging tool in
cell biology. However, photobleaching, phototoxicity, and related artifacts continue to limit …

[HTML][HTML] Blue intensity matters for cell cycle profiling in fluorescence DAPI-stained images

A Ferro, T Mestre, P Carneiro, I Sahumbaiev… - Laboratory …, 2017 - Elsevier
In the past decades, there has been an amazing progress in the understanding of the
molecular mechanisms of the cell cycle. This has been possible largely due to a better …

[HTML][HTML] Quantitative phase imaging for label-free analysis of cancer cells—focus on digital holographic microscopy

Z El-Schich, A Leida Mölder, A Gjörloff Wingren - Applied Sciences, 2018 - mdpi.com
To understand complex biological processes, scientists must gain insight into the function of
individual living cells. In contrast to the imaging of fixed cells, where a single snapshot of the …

[HTML][HTML] Live-dead assay on unlabeled cells using phase imaging with computational specificity

C Hu, S He, YJ Lee, Y He, EM Kong, H Li… - Nature …, 2022 - nature.com
Existing approaches to evaluate cell viability involve cell staining with chemical reagents.
However, the step of exogenous staining makes these methods undesirable for rapid …

[HTML][HTML] Visualizing spatiotemporal dynamics of multicellular cell-cycle progression

A Sakaue-Sawano, H Kurokawa, T Morimura, A Hanyu… - Cell, 2008 - cell.com
The cell-cycle transition from G 1 to S phase has been difficult to visualize. We have
harnessed antiphase oscillating proteins that mark cell-cycle transitions in order to develop …

[HTML][HTML] Label-free cell cycle analysis for high-throughput imaging flow cytometry

T Blasi, H Hennig, HD Summers, FJ Theis… - Nature …, 2016 - nature.com
Imaging flow cytometry combines the high-throughput capabilities of conventional flow
cytometry with single-cell imaging. Here we demonstrate label-free prediction of DNA …

[HTML][HTML] Characterising live cell behaviour: Traditional label-free and quantitative phase imaging approaches

R Kasprowicz, R Suman, P O'Toole - … journal of biochemistry & cell biology, 2017 - Elsevier
Label-free imaging uses inherent contrast mechanisms within cells to create image contrast
without introducing dyes/labels, which may confound results. Quantitative phase imaging is …

Automated segmentation, classification, and tracking of cancer cell nuclei in time-lapse microscopy

X Chen, X Zhou, STC Wong - IEEE transactions on biomedical …, 2006 - ieeexplore.ieee.org
Quantitative measurement of cell cycle progression in individual cells over time is important
in understanding drug treatment effects on cancer cells. Recent advances in time-lapse …