Automation and High- Throughput Flow Cytometry

Author(s):  
Bruce S. Edwards ◽  
Larry A. Sklar

The flow cytometer is unique among biomedical analysis instruments in its ability to make multiple correlated optical measurements on individual cells or particles at high rates. Moreover, an ever-expanding arsenal of fluorescent probes enables the modern flow cytometer to quantify a large and growing diversity of cell-associated macromolecules and physiological processes. Modern flow cytometers have achieved such a level of sophistication and reliability that unattended operation by automated systems is a practical reality. From its inception, flow cytometry has been in the vanguard of automation in cytological analysis. One of the most powerful automated features is cell sorting, an operation in which highly purified subsets of cells or particles are isolated from heterogeneous source populations on the basis of a targeted, multiparameter phenotype. The method most widely used for sorting today, which is based on electrostatic deflection of charged droplets, was developed over 30 years ago and led to commercial flow cytometers that were capable of sorting cells at rates of hundreds of cells per second. Influenced by the need of the Human Genome Project for efficient isolation of purified chromosomes, a high-speed chromosome flow sorter was developed and patented in 1982 that increased sort rates to tens of thousands of events per second (13). Commercial systems subsequently became available in the 1990s that permitted sorting of cells at such high rates (www.bdbiosciences.com; www.dakocytomation. com). Thus, since the initial development of the technology, the throughput of automated cell sorting has increased by nearly two orders of magnitude. In single cell analysis and sorting, throughput is determined by the rate at which the flow cytometer can process individual cells as they pass single file through the point of detection. Another aspect of flow cytometer throughput concerns the rate at which the flow cytometer can sequentially process multiple discreet collections of cells. This component of throughput will be important, for example, in the screening of collections of test compounds for their effects on bulk populations of cells. This is of particular relevance for modern drug discovery, in which there is a need to test cellular targets against millions of potentially valuable compounds that may bind cellular receptors to effect clinically therapeutic cellular responses.

2008 ◽  
Author(s):  
Meggie Grafton ◽  
Lisa M. Reece ◽  
Pedro P. Irazoqui ◽  
Byunghoo Jung ◽  
Huw D. Summers ◽  
...  

2001 ◽  
Vol 123 (3) ◽  
pp. 672-679 ◽  
Author(s):  
Gwo-Bin Lee ◽  
Chen-I Hung ◽  
Bin-Jo Ke ◽  
Guan-Ruey Huang ◽  
Bao-Herng Hwei ◽  
...  

This paper describes hydrodynamic focusing inside a micromachined flow cytometer. Flow cytometry is a process whereby cells are analyzed and sorted based on hydrodynamic focusing phenomenon and specific cellular characteristics. In this study, the hydrodynamic focusing phenomenon is first modeled by employing potential flow theory. Then the flow field inside the flow cytometer is numerically simulated. The effect of the device geometry and relative sheath and sample flow rate on the focusing of the center flow is explored systematically. At last, a micromachine-based flow chamber is designed and fabricated on plastic substrates as a micro flow cytometer. Hydrodynamic focusing is verified with the use of microscopic visualization of water sheath flows and dye-containing sample flow. Experimental data indicate that the size of focused sample stream can be reduced to about 3 μm, which is applicable to cell sorting and counting.


2021 ◽  
Author(s):  
J. Paul Robinson

Many processors are available for separating particles and/or cells, but few can match the capacity of flow cytometry – in particular the sorting component. Several aspects unique to cell sorting give it such power. First, particles can be separated based on size, complexity, fluorescence, or any combination of these parameters. Second, it is entirely possible to separate particles under sterile conditions, making this technology very advantageous for selecting cells for culture. Third, when this sterile environment is combined with a highly controlled safety system, it is possible to safely sort and separate highly pathogenic organisms or even cells containing such pathogens. The very latest instruments available add even more power by introducing the ability to sort cells based on spectral unmixing. This last option requires incredible computer power and very-high-speed processing, since the sort decision is based on computational algorithms derived from the spectral mixture being analyzed.


Diagnostics ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. 1320
Author(s):  
Kristýna Pekárková ◽  
Jakub Soukup ◽  
Marie Kostelanská ◽  
Jan Širc ◽  
Zbyněk Straňák ◽  
...  

Extracellular vesicles (EVs) from liquid biopsies are extensively analyzed by flow cytometry, a technology that is continuously evolving. Thresholding utilizing a violet 405 nm laser side scatter (VSSC) has recently been implemented. Here, we collected set of large EV (lEV) samples from cord blood, which we analyzed using a standard flow cytometer improved via a 405 nm laser side scatter. Samples were analyzed using two distinct thresholding methods—one based on VSSC, and one based on VSSC combined with fluorescence thresholding on stained phosphatidylserine. Through these thresholding methods, we compared lEVs from pre-term births and control cord blood. Double-labeled lEVs with platelet CD36+/CD41+, activated platelet CD41+/CD62P+ and endothelial CD31+/CD105+ antibodies were used. Apart from comparing the two groups together, we also correlated measured lEVs with the thresholding methods. We also correlated the results of this study with data analyzed in our previous study in which we used a conventional 488 nm laser SSC. We did not find any difference between the two cord blood groups. However, we found highly concurrent data via our correlation of the thresholding methods, with correlation coefficients ranging from 0.80 to 0.96 even though the numbers of detected lEVs differed between thresholding methods. In conclusion, our approaches to thresholding provided concurrent data and it seems that improving the cytometer with the use of a VSSC increases its sensitivity, despite not being particularly critical to the validity of flow cytometric studies that compare pathological and physiological conditions in liquid biopsies.


2003 ◽  
Vol 14 (1) ◽  
pp. 5-12 ◽  
Author(s):  
Sherrif F Ibrahim ◽  
Ger van den Engh

2012 ◽  
Author(s):  
A. Bañas ◽  
T. Aabo ◽  
D. Palima ◽  
J. Glückstad
Keyword(s):  

2019 ◽  
Vol 475 ◽  
pp. 112348 ◽  
Author(s):  
Hana Glier ◽  
Ingmar Heijnen ◽  
Mathieu Hauwel ◽  
Jan Dirks ◽  
Stéphane Quarroz ◽  
...  

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