Evidence map›Paper›PMID 22753513›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2012

High-throughput single-microparticle imaging flow analyzer.

Keisuke Goda, Ali Ayazi, Daniel R Gossett, Jagannath Sadasivam, Cejo K Lonappan, Elodie Sollier, Ali M Fard, Soojung Claire Hur, Jost Adam, Coleman Murray and 4 more

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 80 papers.

0numbers the graph read from it
0cells of the map it votes in
80citing papers in PubMed
21.9field-weighted citation impact, top 1% 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

80 citing papers in PubMed, 388 citations in OpenAlex.

  1. Article
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  7. Review
  8. Article
  9. Lab on a Particle Technologies.Analytical chemistry · 2024
    Review
  10. Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
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  18. Article
  19. Article
  20. Towards an engineering theory of evolution.Nature communications · 2021
    Review

20 more citing papers are in PubMed but not listed here.

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

14 authors at 3 institutions in 1 country.

Keisuke GodaDepartment of Electrical Engineering, University of California, Los Angeles, CA 90095, USA. goda@ee.ucla.edu
Ali Ayazi
Daniel R Gossett
Jagannath Sadasivam
Cejo K Lonappan
Elodie Sollier
Ali M Fard
Soojung Claire Hur
Jost Adam
Coleman Murray
Chao Wang
Nora Brackbill
Dino Di Carlo
Bahram Jalali
University of California, Los Angeles · USCalifornia NanoSystems Institute · USBroad Center · US

Funding

Women's CancersP30CA016042 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Samuel Wheeler French · 1985 to 2026
$134.5M
Virology CoreP30AI028697 · NIAID · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ANTON, PETER A · 1991 to 2018
$39.9M
NCI NIH HHS CA-16042NCI NIH HHS P30 CA016042NIAID NIH HHS AI-28697NIAID NIH HHS P30 AI028697
6 · The paper itself

Abstract

Optical microscopy is one of the most widely used diagnostic methods in scientific, industrial, and biomedical applications. However, while useful for detailed examination of a small number (< 10,000) of microscopic entities, conventional optical microscopy is incapable of statistically relevant screening of large populations (> 100,000,000) with high precision due to its low throughput and limited digital memory size. We present an automated flow-through single-particle optical microscope that overcomes this limitation by performing sensitive blur-free image acquisition and nonstop real-time image-recording and classification of microparticles during high-speed flow. This is made possible by integrating ultrafast optical imaging technology, self-focusing microfluidic technology, optoelectronic communication technology, and information technology. To show the system's utility, we demonstrate high-throughput image-based screening of budding yeast and rare breast cancer cells in blood with an unprecedented throughput of 100,000 particles/s and a record false positive rate of one in a million.

Indexed as

Cell Line, TumorDiagnostic ImagingFemaleFlow CytometryHigh-Throughput Screening AssaysHumansMicrofluidic Analytical TechniquesMicroscopy, VideoSaccharomycetales

Identifiers

PMID22753513
PMCPMC3406874
OpenAlexW2029739655

What OpenQuestion holds

Textmetadata
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.