scholarly journals Label-free cell cycle analysis for high-throughput imaging flow cytometry

2016 ◽  
Vol 7 (1) ◽  
Author(s):  
Thomas Blasi ◽  
Holger Hennig ◽  
Huw D. Summers ◽  
Fabian J. Theis ◽  
Joana Cerveira ◽  
...  
Keyword(s):  
Cell Cycle ◽  
Flow Cytometry ◽  
High Throughput ◽  
Free Cell ◽  
Cell Cycle Analysis ◽  
Label Free ◽  
Imaging Flow Cytometry ◽  
High Throughput Imaging

scholarly journals Label Free Identification of Peripheral Blood Eosinophils Using High-Throughput Imaging Flow Cytometry

2017 ◽  
Vol 139 (2) ◽  
pp. AB163
Author(s):  
Justyna Piasecka ◽  
Holger Hennig ◽  
Fabian J. Theis ◽  
Paul Rees ◽  
Huw D. Summers ◽  
...  
Keyword(s):  
Flow Cytometry ◽  
High Throughput ◽  
Peripheral Blood ◽  
Label Free ◽  
Imaging Flow Cytometry ◽  
Blood Eosinophils ◽  
High Throughput Imaging

scholarly journals Multi-angle pulse shape detection of scattered light in flow cytometry for label-free cell cycle classification

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Daniel Kage ◽  
Kerstin Heinrich ◽  
Konrad v. Volkmann ◽  
Jenny Kirsch ◽  
Kristen Feher ◽  
...  
Keyword(s):  
Cell Cycle ◽  
Flow Cytometry ◽  
High Throughput ◽  
Pulse Shape ◽  
Single Cells ◽  
Scattered Light ◽  
Free Cell ◽  
Hek293 Cells ◽  
Label Free ◽  
Functional Changes

AbstractFlow cytometers are robust and ubiquitous tools of biomedical research, as they enable high-throughput fluorescence-based multi-parametric analysis and sorting of single cells. However, analysis is often constrained by the availability of detection reagents or functional changes of cells caused by fluorescent staining. Here, we introduce MAPS-FC (multi-angle pulse shape flow cytometry), an approach that measures angle- and time-resolved scattered light for high-throughput cell characterization to circumvent the constraints of conventional flow cytometry. In order to derive cell-specific properties from the acquired pulse shapes, we developed a data analysis procedure based on wavelet transform and k-means clustering. We analyzed cell cycle stages of Jurkat and HEK293 cells by MAPS-FC and were able to assign cells to the G1, S, and G2/M phases without the need for fluorescent labeling. The results were validated by DNA staining and by sorting and re-analysis of isolated G1, S, and G2/M populations. Our results demonstrate that MAPS-FC can be used to determine cell properties that are otherwise only accessible by invasive labeling. This approach is technically compatible with conventional flow cytometers and paves the way for label-free cell sorting.

Hyper-dimensional analysis for label-free high-throughput imaging flow cytometry

CLEO: 2014 ◽  
2014 ◽  
Author(s):  
C. L. Chen ◽  
A. Mahjoubfar ◽  
A. Huang ◽  
K. R. Niazi ◽  
S. Rabizadeh ◽  
...  
Keyword(s):  
Flow Cytometry ◽  
Dimensional Analysis ◽  
High Throughput ◽  
Label Free ◽  
Imaging Flow Cytometry ◽  
High Throughput Imaging

Label-free high-throughput imaging flow cytometry

2014 ◽  
Author(s):  
A. Mahjoubfar ◽  
C. Chen ◽  
K. R. Niazi ◽  
S. Rabizadeh ◽  
B. Jalali
Keyword(s):  
Flow Cytometry ◽  
High Throughput ◽  
Label Free ◽  
Imaging Flow Cytometry ◽  
High Throughput Imaging

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

Lab on a Chip ◽  
2016 ◽  
Vol 16 (10) ◽  
pp. 1743-1756 ◽  
Author(s):  
Andy K. S. Lau ◽  
Ho Cheung Shum ◽  
Kenneth K. Y. Wong ◽  
Kevin K. Tsia
Keyword(s):  
Flow Cytometry ◽  
Single Cell ◽  
High Throughput ◽  
Cell Imaging ◽  
Imaging Flow Cytometry ◽  
Single Cell Imaging ◽  
Optical Time ◽  
High Throughput Imaging

Optical time-stretch imaging is now proven for ultrahigh-throughput optofluidic single-cell imaging, at least 10–100 times faster.

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