Evidence map›Paper›PMID 33190968›Full record

ReviewTrends in biotechnology2021

Image-Based Live Cell Sorting.

Cody A LaBelle, Angelo Massaro, Belén Cortés-Llanos, Christopher E Sims, Nancy L Allbritton

Open access · greenAbstract readReview
In one paragraph

Review in Trends in biotechnology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
8.1field-weighted citation impact, top 2% 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

21 citing papers in PubMed, 58 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Optical sorting: past, present and future.Light, science & applications · 2025
    Review
  6. Deep Learning-Assisted Label-Free Parallel Cell Sorting with Digital Microfluidics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  7. Review
  8. Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. Review
  14. Review
  15. Review
  16. Article
  17. Article
  18. Article
  19. Review
  20. Review
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

5 authors at 2 institutions in 1 country.

Cody A LaBelleJoint Department of Biomedical Engineering, University of North Carolina, Chapel Hill, NC, and North Carolina State University, Raleigh, NC, USA; Department of Bioengineering, University of Washington, Seattle, WA, USA.
Angelo MassaroDepartment of Bioengineering, University of Washington, Seattle, WA, USA.
Belén Cortés-LlanosDepartment of Bioengineering, University of Washington, Seattle, WA, USA.
Christopher E SimsDepartment of Bioengineering, University of Washington, Seattle, WA, USA; Department of Medicine, University of Washington, Seattle, WA, USA.
Nancy L AllbrittonDepartment of Bioengineering, University of Washington, Seattle, WA, USA. Electronic address: nlallbr@uw.edu.
University of Washington · USNorth Carolina State University · US

Funding

MICROFABRICATED INSTRUMENTATION TO MEASURE SPHINGOLIPID SIGNALING IN HUMAN ACUTE MYELOID LEUKEMIAR01CA233811 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ALLBRITTON, NANCY L., ARMISTEAD, PAUL MICHAEL · 2019 to 2023
$3.1M
PROFILING SIGNALING ACTIVITY AND GENE EXPRESSION IN SINGLE, PANCREATIC ADENOCARCINOMA CELLS USING CE-RNA-SEQR01CA224763 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ALLBRITTON, NANCY L., LAWRENCE, DAVID S. · 2018 to 2022
$2.9M
NCI NIH HHS R01 CA224763NCI NIH HHS R01 CA233811
6 · The paper itself

Abstract

Technologies capable of cell separation based on cell images provide powerful tools enabling cell selection criteria that rely on spatially or temporally varying properties. Image-based cell sorting (IBCS) systems utilize microfluidic or microarray platforms, each having unique characteristics and applications. The advent of IBCS marks a new paradigm in which cell phenotype and behavior can be explored with high resolution and tied to cellular physiological and omics data, providing a deeper understanding of single-cell physiology and the creation of cell lines with unique properties. Cell sorting guided by high-content image information has far-reaching implications in biomedical research, clinical medicine, and pharmaceutical development.

Indexed as

Cell Physiological PhenomenaCell SeparationMicrofluidicscell sortingcytometryimagingmicroarraysmicrodevicemicrofluidics

Identifiers

PMID33190968
PMCPMC8113340
OpenAlexW3104979812

What OpenQuestion holds

Textmetadata
LicenceTDM
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.