scholarly journals High-throughput multiparametric imaging flow cytometry: toward diffraction-limited sub-cellular detection and monitoring of sub-cellular processes

Cell Reports ◽  
2021 ◽  
Vol 34 (10) ◽  
pp. 108824
Author(s):  
Gregor Holzner ◽  
Bogdan Mateescu ◽  
Daniel van Leeuwen ◽  
Gea Cereghetti ◽  
Reinhard Dechant ◽  
...  
Keyword(s):  
Flow Cytometry ◽  
High Throughput ◽  
Multiparametric Imaging ◽  
Cellular Processes ◽  
Imaging Flow Cytometry

scholarly journals High‐Throughput Particle Uptake Analysis by Imaging Flow Cytometry

2017 ◽  
Vol 80 (1) ◽  
Author(s):  
Asya Smirnov ◽  
Michael D. Solga ◽  
Joanne Lannigan ◽  
Alison K. Criss
Keyword(s):  
Flow Cytometry ◽  
High Throughput ◽  
Particle Uptake ◽  
Imaging Flow Cytometry

High-throughput real-time imaging flow cytometry based on Fourier sampling

2016 ◽  
Author(s):  
Qiang Guo ◽  
Hongwei Chen ◽  
Yuxi Wang ◽  
Minghua Chen ◽  
Sigang Yang ◽  
...  
Keyword(s):  
Flow Cytometry ◽  
Real Time ◽  
High Throughput ◽  
Real Time Imaging ◽  
Imaging Flow Cytometry ◽  
Fourier Sampling

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.

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 Tracking expression and subcellular localization of RNA and protein species using high-throughput single cell imaging flow cytometry

RNA ◽  
2012 ◽  
Vol 18 (8) ◽  
pp. 1573-1579 ◽  
Author(s):  
S. Borah ◽  
L. A. Nichols ◽  
L. M. Hassman ◽  
D. H. Kedes ◽  
J. A. Steitz
Keyword(s):  
Flow Cytometry ◽  
Subcellular Localization ◽  
Single Cell ◽  
High Throughput ◽  
Cell Imaging ◽  
Protein Species ◽  
Imaging Flow Cytometry ◽  
Single Cell Imaging

scholarly journals High-Throughput Multi-parametric Imaging Flow Cytometry

Chem ◽  
2017 ◽  
Vol 3 (4) ◽  
pp. 588-602 ◽  
Author(s):  
Anandkumar S. Rane ◽  
Justina Rutkauskaite ◽  
Andrew deMello ◽  
Stavros Stavrakis
Keyword(s):  
Flow Cytometry ◽  
High Throughput ◽  
Parametric Imaging ◽  
Imaging Flow Cytometry

scholarly journals Virtual-freezing fluorescence imaging flow cytometry

2020 ◽  
Author(s):  
Hideharu Mikami ◽  
Makoto Kawaguchi ◽  
Chun-Jung Huang ◽  
Hiroki Matsumura ◽  
Takeaki Sugimura ◽  
...  
Keyword(s):  
Flow Cytometry ◽  
Spatial Resolution ◽  
High Throughput ◽  
Cancer Biology ◽  
Single Cells ◽  
Image Sensor ◽  
Imaging Method ◽  
Microscopy Imaging ◽  
Trade Off ◽  
Imaging Flow Cytometry

ABSTRACTBy virtue of the combined merits of flow cytometry and fluorescence microscopy, imaging flow cytometry (IFC) has become an established tool for cell analysis in diverse biomedical fields such as cancer biology, microbiology, immunology, hematology, and stem cell biology. However, the performance and utility of IFC are severely limited by the fundamental trade-off between throughput, sensitivity, and spatial resolution. For example, at high flow speed (i.e., high throughput), the integration time of the image sensor becomes short, resulting in reduced sensitivity or pixel resolution. Here we present an optomechanical imaging method that overcomes the trade-off by virtually “freezing” the motion of flowing cells on the image sensor to effectively achieve 1,000 times longer exposure time for microscopy-grade fluorescence image acquisition. Consequently, it enables high-throughput IFC of single cells at >10,000 cells/s without sacrificing sensitivity and spatial resolution. The availability of numerous information-rich fluorescence cell images allows high-dimensional statistical analysis and accurate classification with deep learning, as evidenced by our demonstration of unique applications in hematology and microbiology.

scholarly journals Cameraless high-throughput three-dimensional imaging flow cytometry

Optica ◽  
2019 ◽  
Vol 6 (10) ◽  
pp. 1297 ◽  
Author(s):  
Yuanyuan Han ◽  
Rui Tang ◽  
Yi Gu ◽  
Alex Ce Zhang ◽  
Wei Cai ◽  
...  
Keyword(s):  
Flow Cytometry ◽  
High Throughput ◽  
Three Dimensional ◽  
Three Dimensional Imaging ◽  
Imaging Flow Cytometry
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