scholarly journals Extremely High-Throughput Parallel Microfluidic Vortex-Actuated Cell Sorting

Micromachines ◽  
2021 ◽  
Vol 12 (4) ◽  
pp. 389
Author(s):  
Alex A. Zhukov ◽  
Robyn H. Pritchard ◽  
Mick J. Withers ◽  
Tony Hailes ◽  
Richard D. Gold ◽  
...  
Keyword(s):  
High Throughput ◽  
Cell Sorting ◽  
Control Software ◽  
Cell Sorter ◽  
Cell Numbers ◽  
Parallel Version ◽  
Single Stream ◽  
Conventional Cell ◽  
Set Up ◽  
And Control

We demonstrate extremely high-throughput microfluidic cell sorting by making a parallel version of the vortex-actuated cell sorter (VACS). The set-up includes a parallel microfluidic sorter chip and parallel cytometry instrumentation: optics, electronics and control software. The result is capable of sorting lymphocyte-sized particles at 16 times the rate of our single-stream VACS devices, and approximately 10 times the rate of commercial cell sorters for an equivalent procedure. We believe this opens the potential to scale cell sorting for applications requiring the processing of much greater cell numbers than currently possible with conventional cell sorting.

scholarly journals High-throughput microfluidic cell sorting platform (MICS)

2019 ◽  
Author(s):  
David Philpott ◽  
Peter Aldridge ◽  
Barbara Mair ◽  
Randy Atwal ◽  
Sanna Masud ◽  
...  
Keyword(s):  
Protein Expression ◽  
Cell Viability ◽  
High Throughput ◽  
Cell Sorting ◽  
Mammalian Cells ◽  
Large Scale ◽  
Genetic Screens ◽  
Large Numbers ◽  
Conventional Cell ◽  
Set Up

Abstract Genome-scale functional genetic screens can be used to interrogate determinants of protein expression modulation of a target of interest. Such phenotypic screening approaches typically require sorting of large numbers of cells (>108). In conventional cell sorting techniques (i.e. fluorescence-activated cell sorting), sorting time, associated with high instrument and operating costs and loss of cell viability, are limiting to the scalability and throughput of these screens. We recently established a rapid and scalable high-throughput microfluidic cell sorting platform (MICS) using immunomagnetic nanoparticles to sort cells in parallel capable of sorting more than 108 HAP1 cells in under one hour while maintaining high levels of cell viability (Ref. 1). This protocol outlines how to set-up MICS for large-scale phenotypic screens in mammalian cells. We anticipate this platform being used for genome-wide functional genetic screens as well as other applications requiring the sorting of large numbers of cells based on protein expression.

scholarly journals Automated Raman based cell sorting with 3D microfluidics

Lab on a Chip ◽  
2020 ◽  
Vol 20 (22) ◽  
pp. 4235-4245
Author(s):  
Yingkai Lyu ◽  
Xiaofei Yuan ◽  
Andrew Glidle ◽  
Yuchen Fu ◽  
Hitoshi Furusho ◽  
...  
Keyword(s):  
High Throughput ◽  
Cell Sorting ◽  
Three Dimensional ◽  
Cell Sorter ◽  
3D Microfluidics

We report an automated, high throughput Raman activated cell sorter using three-dimensional microfluidics (3D-RACS).

scholarly journals A high-throughput acoustic cell sorter

Lab on a Chip ◽  
2015 ◽  
Vol 15 (19) ◽  
pp. 3870-3879 ◽  
Author(s):  
Liqiang Ren ◽  
Yuchao Chen ◽  
Peng Li ◽  
Zhangming Mao ◽  
Po-Hsun Huang ◽  
...  
Keyword(s):  
Acoustic Wave ◽  
Surface Acoustic Wave ◽  
High Throughput ◽  
Cell Sorting ◽  
Cell Sorter

We developed a standing surface acoustic wave (SSAW)-based cell sorting device. The throughput of our device has been significantly improved by using focused interdigital transducers (FIDTs) as SSAW generator.

Pulsed laser activated cell sorter (PLACS) for high-throughput fluorescent mammalian cell sorting

2014 ◽  
Author(s):  
Yue Chen ◽  
Ting-Hsiang Wu ◽  
Aram Chung ◽  
Yu-Chung Kung ◽  
Michael A. Teitell ◽  
...  
Keyword(s):  
Mammalian Cell ◽  
High Throughput ◽  
Cell Sorting ◽  
Pulsed Laser ◽  
Cell Sorter

scholarly journals Successful selection of mouse sperm with high viability and fertility using microfluidics chip cell sorter

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Satohiro Nakao ◽  
Toru Takeo ◽  
Hitomi Watanabe ◽  
Gen Kondoh ◽  
Naomi Nakagata
Keyword(s):  
Cell Sorting ◽  
Cell Damage ◽  
Harmful Effect ◽  
Cell Sorter ◽  
Chip Technology ◽  
Fertilisation Rate ◽  
A Cell ◽  
Conventional Cell ◽  
Selection Of

Abstract Cell sorting via flow cytometry is a powerful tool to select subpopulations of cells in many biological fields. Selection of fertilisation-prone sperm is a critical step to ensure a stable and high fertilisation rate in in vitro fertilisation (IVF). However, a combination of conventional cell sorting and IVF system has not been established because of severe mechanical damages to the sperm during the sorting process. A cell sorter with microfluidics chip technology that lessens cell damage during cell sorting may address this problem. We evaluated the effects of microfluidics chip cell sorting on the sperm using the parameters, such as motility and fertility, and found this cell sorting method had minimal harmful effect on the sperm. Then, sperm were selected by a marker for acrosome reaction and showed higher fertilisation rate than that of the population of acrosome-intact sperm. Embryo derived from these sperm developed normally. These results indicated that microfluidics chip cell sorting can select fertile sperm to improve IVF technique.

Pittenweem Priory and the conventuality question

2017 ◽  
Vol 68 (1) ◽  
pp. 19-37 ◽  
Author(s):  
Anthony Lodge
Keyword(s):  
Fifteenth Century ◽  
Traditional View ◽  
Archaeological Evidence ◽  
Significant Development ◽  
New Mother ◽  
Set Up ◽  
And Control

Pittenweem Priory began life as the caput manor of a daughter-house established on May Island by Cluniac monks from Reading (c. 1140). After its sale to St Andrews (c. 1280), the priory transferred ashore. While retaining its traditional name, the ‘Priory of May (alias Pittenweem)’ was subsumed within the Augustinian priory of St Andrews. Its prior was elected from among the canons of the new mother house, but it was many decades before a resident community of canons was set up in Pittenweem. The traditional view, based principally on the ‘non-conventual’ status of the priory reiterated in fifteenth-century documents, is that there was ‘no resident community’ before the priorship of Andrew Forman (1495–1515). Archaeological evidence in Pittenweem, however, indicates that James Kennedy had embarked on significant development of the priory fifty years earlier. This suggests that, when the term ‘non-conventual’ is used in documents emanating from Kennedy's successors (Graham and Scheves), we should interpret it more as an assertion of superiority and control than as a description of realities in the priory.

scholarly journals The BECCAL Experiment Design and Control Software

2021 ◽  
Author(s):  
Arnau Prat ◽  
Jan Sommer ◽  
Ayush Mani Nepal ◽  
Tobias Franz ◽  
Hauke Muntinga ◽  
...  
Keyword(s):  
Experiment Design ◽  
Control Software ◽  
And Control

scholarly journals Automatic 1D 1H NMR Metabolite Quantification for Bioreactor Monitoring

Metabolites ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 157
Author(s):  
Roy Chih Chung Wang ◽  
David A. Campbell ◽  
James R. Green ◽  
Miroslava Čuperlović-Culf
Keyword(s):  
High Throughput ◽  
Nmr Metabolomics ◽  
Gene Therapies ◽  
Quantification Method ◽  
Minimal Sample ◽  
Enhanced Production ◽  
Bioreactor Monitoring ◽  
Online Measurements ◽  
Metabolite Quantification ◽  
Set Up

High-throughput metabolomics can be used to optimize cell growth for enhanced production or for monitoring cell health in bioreactors. It has applications in cell and gene therapies, vaccines, biologics, and bioprocessing. NMR metabolomics is a method that allows for fast and reliable experimentation, requires only minimal sample preparation, and can be set up to take online measurements of cell media for bioreactor monitoring. This type of application requires a fully automated metabolite quantification method that can be linked with high-throughput measurements. In this review, we discuss the quantifier requirements in this type of application, the existing methods for NMR metabolomics quantification, and the performance of three existing quantifiers in the context of NMR metabolomics for bioreactor monitoring.

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