Evidence map›Paper›PMID 30886171›Full record

ArticleScientific reports2019

Sizing biological cells using a microfluidic acoustic flow cytometer.

Eric M Strohm, Vaskar Gnyawali, Joseph A Sebastian, Robert Ngunjiri, Michael J Moore, Scott S H Tsai, Michael C Kolios

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.5field-weighted citation impact, top 11% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 42 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Acoustic Microfluidics.Annual review of analytical chemistry (Palo Alto, Calif.) · 2020
    Review
  10. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

Eric M StrohmDepartment of Physics, Ryerson University, 350 Victoria St, Toronto, Canada.ORCID 0000-0003-0130-9360
Vaskar GnyawaliDepartment of Mechanical and Industrial Engineering, Ryerson University, 350 Victoria St, Toronto, Canada.ORCID 0000-0001-6083-6924
Joseph A SebastianDepartment of Physics, Ryerson University, 350 Victoria St, Toronto, Canada.
Robert NgunjiriDepartment of Physics, Ryerson University, 350 Victoria St, Toronto, Canada.
Michael J MooreDepartment of Physics, Ryerson University, 350 Victoria St, Toronto, Canada.ORCID 0000-0002-8798-393X
Scott S H TsaiDepartment of Mechanical and Industrial Engineering, Ryerson University, 350 Victoria St, Toronto, Canada.
Michael C KoliosDepartment of Physics, Ryerson University, 350 Victoria St, Toronto, Canada. mkolios@ryerson.ca.ORCID 0000-0002-9994-8293
St. Michael's Hospital · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We describe a new technique that combines ultrasound and microfluidics to rapidly size and count cells in a high-throughput and label-free fashion. Using 3D hydrodynamic flow focusing, cells are streamed single file through an ultrasound beam where ultrasound scattering events from each individual cell are acquired. The ultrasound operates at a center frequency of 375 MHz with a wavelength of 4 μm; when the ultrasound wavelength is similar to the size of a scatterer, the power spectra of the backscattered ultrasound waves have distinct features at specific frequencies that are directly related to the cell size. Our approach determines cell sizes through a comparison of these distinct spectral features with established theoretical models. We perform an analysis of two types of cells: acute myeloid leukemia cells, where 2,390 measurements resulted in a mean size of 10.0 ± 1.7 μm, and HT29 colorectal cancer cells, where 1,955 measurements resulted in a mean size of 15.0 ± 2.3 μm. These results and histogram distributions agree very well with those measured from a Coulter Counter Multisizer 4. Our technique is the first to combine ultrasound and microfluidics to determine the cell size with the potential for multi-parameter cellular characterization using fluorescence, light scattering and quantitative photoacoustic techniques.

Indexed as

Cell SizeFlow CytometryHT29 CellsHumansMicrofluidicsPhotoacoustic TechniquesUltrasonic Waves

Identifiers

PMID30886171
PMCPMC6423196
OpenAlexW2922423146

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.