Large Particle Sorting

2000 ◽  
pp. 293-317 ◽  
Author(s):  
David W. Galbraith ◽  
Sergio Lucretti
Keyword(s):  
Large Particle ◽  
Particle Sorting

Large Particle Sorting

1992 ◽  
pp. 189-204 ◽  
Author(s):  
D. W. Galbraith
Keyword(s):  
Large Particle ◽  
Particle Sorting

Large Particle Sorting to Isolate Live Parasitic Nematode Eggs

2016 ◽  
Vol 76 (1) ◽  
Author(s):  
Alfonso Schmidt ◽  
Tiffany Bouchery ◽  
Graham Le Gros ◽  
Kylie M. Price
Keyword(s):  
Large Particle ◽  
Parasitic Nematode ◽  
Particle Sorting ◽  
Nematode Eggs

scholarly journals Breakthrough in purification of fossil pollen for dating of sediments by a new large-particle on-chip sorter

2021 ◽  
Vol 7 (16) ◽  
pp. eabe7327
Author(s):  
Y. Kasai ◽  
C. Leipe ◽  
M. Saito ◽  
H. Kitagawa ◽  
S. Lauterbach ◽  
...  
Keyword(s):  
High Throughput ◽  
Large Particle ◽  
Biological Research ◽  
Fossil Pollen ◽  
Maximum Dimension ◽  
Radiocarbon Dates ◽  
Large Size ◽  
Particle Sorting ◽  
Activation System ◽  
On Chip

Particle sorting is a fundamental method in various fields of medical and biological research. However, existing sorting applications are not capable for high-throughput sorting of large-size (>100 micrometers) particles. Here, we present a novel on-chip sorting method using traveling vortices generated by on-demand microjet flows, which locally exceed laminar flow condition, allowing for high-throughput sorting (5 kilohertz) with a record-wide sorting area of 520 micrometers. Using an activation system based on fluorescence detection, the method successfully sorted 160-micrometer microbeads and purified fossil pollen (maximum dimension around 170 micrometers) from lake sediments. Radiocarbon dates of sorting-derived fossil pollen concentrates proved accurate, demonstrating the method’s ability to enhance building chronologies for paleoenvironmental records from sedimentary archives. The method is capable to cover urgent needs for high-throughput large-particle sorting in genomics, metabolomics, and regenerative medicine and opens up new opportunities for the use of pollen and other microfossils in geochronology, paleoecology, and paleoclimatology.

Water recovery from wet flue gas by combining the amplification tube condensation and inlet particle-sorting cyclone separation

2021 ◽  
pp. 117205
Author(s):  
Fei Wang ◽  
Xiaoyang Yang ◽  
Pengbo Fu ◽  
Fenglin Yang ◽  
Fangqin Cheng
Keyword(s):  
Flue Gas ◽  
Water Recovery ◽  
Particle Sorting

PARTICLE-BASED TRANSPARENT FUSED VISUALIZATION APPLIED TO MEDICAL VOLUME DATA

2013 ◽  
Vol 04 (supp01) ◽  
pp. 1341003 ◽  
Author(s):  
KYOKO HASEGAWA ◽  
SAORI OJIMA ◽  
YOSHIYUKI SHIMOKUBO ◽  
SUSUMU NAKATA ◽  
KOZABURO HACHIMURA ◽  
...  
Keyword(s):  
Line Of Sight ◽  
Volume Data ◽  
Particle Sorting ◽  
Fusion Images ◽  
Surface Fusion

This paper proposes a method to create 3D fusion images, such as volume–volume, volume–surface, and surface–surface fusion. Our method is based on the particle-based rendering, which uses tiny particles as rendering primitives. The method can create natural and comprehensible 3D fusion images simply by merging particles prepared for each element to be fused. Moreover, the method does not require particle sorting along the line of sight to realize right depth feel. We apply our method to realize comprehensible visualization of medical volume data.

scholarly journals Trace impurity transport in multi-species plasmas with large particle fluxes

2021 ◽  
pp. 127284
Author(s):  
E. Litvinova Mitra ◽  
E.J. Kolmes ◽  
I.E. Ochs ◽  
M.E. Mlodik ◽  
T. Rubin ◽  
...  
Keyword(s):  
Large Particle ◽  
Trace Impurity ◽  
Impurity Transport ◽  
Particle Fluxes

Theoretical Parameter Study of Aerodynamic Vectoring Particle Sorting

2007 ◽  
Vol 129 (7) ◽  
pp. 902-907 ◽  
Author(s):  
Dane N. Jackson ◽  
Barton L. Smith
Keyword(s):  
Density Ratio ◽  
Large Data ◽  
Flow Speed ◽  
Spherical Particles ◽  
Parameter Study ◽  
Particle Sizes ◽  
Case Scenario ◽  
Velocity Magnitude ◽  
Particle Sorting ◽  
Sorting Technique

A new particle sorting technique called aerodynamic vectoring particle sorting (AVPS) has recently been shown to be effective at sorting particles without particles contacting surfaces. The technique relies on turning a free jet sharply without extended control surfaces. The flow turning results in a balance of particle inertia and several forces (pressure, drag, added mass, and body forces) that depend on particle size and density. The present paper describes a theoretical study of particle sorting in a turning flow. The purpose of this study is to extend AVPS to parameter spaces other than those that are currently under investigation. Spherical particles are introduced into a turning flow in which the velocity magnitude increases like r. The trajectory of each particle is calculated using the particle equation of motion with drag laws that are appropriate for various Knudsen number regimes. Large data sets can be collected rapidly for various particle sizes, densities, turning radii, flow speeds, and fluid properties. Ranges of particle sizes that can be sorted are determined by finding an upper bound (where particles move in a straight line) and a lower bound (where particles follow flow streamlines). It is found that the size range of particles that can be sorted is larger for smaller turning radii, and that the range moves toward smaller particles as the flow speed and the particle-to-fluid density ratio are increased. Since this flow is laminar and 2-D, and particle loading effects are ignored, the results represent a “best case” scenario.

Automated method for the isolation of collecting ducts

2006 ◽  
Vol 291 (1) ◽  
pp. F236-F245 ◽  
Author(s):  
R. Lance Miller ◽  
Ping Zhang ◽  
Tong Chen ◽  
Andreas Rohrwasser ◽  
Raoul D. Nelson
Keyword(s):  
Flow Cytometry ◽  
Large Particle ◽  
Fluorescent Protein ◽  
Collecting Duct ◽  
Complex Object ◽  
Cortical Collecting Duct ◽  
Fluorescent Intensity ◽  
Automated Method ◽  
Collecting Ducts ◽  
Time Required

The structural and functional heterogeneity of the collecting duct present a tremendous experimental challenge requiring manual microdissection, which is time-consuming, labor intensive, and not amenable to high throughput. To overcome these limitations, we developed a novel approach combining the use of transgenic mice expressing green fluorescent protein (GFP) in the collecting duct with large-particle-based flow cytometry to isolate pure populations of tubular fragments from the whole collecting duct (CD), or inner medullary (IMCD), outer medullary (OMCD), or connecting segment/cortical collecting duct (CNT/CCD). Kidneys were enzymatically dispersed into tubular fragments and sorted based on tubular length and GFP intensity using large-particle-based flow cytometry or a complex object parametric analyzer and sorter (COPAS). A LIVE/DEAD assay demonstrates that the tubules were >90% viable. Tubules were collected as a function of fluorescent intensity and analyzed by epifluorescence and phase microscopy for count accuracy, GFP positivity, average tubule length, and time required to collect 100 tubules. Similarly, mRNA and protein from sorted tubules were analyzed for expression of tubule segment-specific genes using quantitative real-time RT-PCR and immunoblotting. The purity and yield of sorted tubules were related to sort stringency. Four to six replicates of 100 collecting ducts (9.68 ± 0.44–14.5 ± 0.66 cm or 9.2 ± 0.7 mg tubular protein) were routinely obtained from a single mouse in under 1 h. In conclusion, large-particle-based flow cytometry is fast, reproducible, and generates sufficient amounts of highly pure and viable collecting ducts from single or replicate animals for gene expression and proteomic analysis.

scholarly journals Microfluidic Particle Sorting System for Environmental Pollution Monitoring Applications

2016 ◽  
Vol 168 ◽  
pp. 1462-1465
Author(s):  
E.L. Tóth ◽  
E. Holczer ◽  
P. Földesy ◽  
K. Iván ◽  
P. Fürjes
Keyword(s):  
Environmental Pollution ◽  
Pollution Monitoring ◽  
Particle Sorting ◽  
Monitoring Applications ◽  
Sorting System
Sign in / Sign up

Export Citation Format

Share Document