Evidence map›Paper›PMID 22162816›Full record

ArticleBiomedical optics express2011

Blood testing at the single cell level using quantitative phase and amplitude microscopy.

Mustafa Mir, Krishnarao Tangella, Gabriel Popescu

Abstract read
In one paragraph

Article in Biomedical optics express, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
–field-weighted citation impact
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

26 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Tomographic flow cytometry by digital holography.Light, science & applications · 2017
    Article
  14. Article
  15. Article
  16. Single-cell measurement of red blood cell oxygen affinity.Proceedings of the National Academy of Sciences of the United States of America · 2015
    Article
  17. Quantitative phase imaging of arthropods.Journal of biomedical optics · 2015
    Article
  18. Review
  19. Quantitative absorption cytometry for measuring red blood cell hemoglobin mass and volume.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2014
    Article
  20. 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

3 authors.

Mustafa Mir
Krishnarao Tangella
Gabriel Popescu

Funding

Label free imaging of blood smears and tissue biopsiesR21CA147967 · NCI · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI POPESCU, GABRIEL · 2010 to 2011
$317k
NCI NIH HHS R21 CA147967
6 · The paper itself

Abstract

It has recently been shown that quantitative phase imaging methods can provide clinically relevant parameters for red blood cell analysis with unprecedented detail and sensitivity. Since the quantitative phase information is dependent on both the thickness and refractive index, a major limitation to clinical translation has been a simple and practical approach to measure both simultaneously. Here we demonstrate both theoretically and experimentally that, by combining quantitative phase with a single absorption measurement, it is possible to measure both quantities at the single cell level. We validate this approach by comparing our results to those acquired using a clinical blood analyzer. This approach to decouple the thickness and refractive index for red blood cells may be used with any quantitative phase imaging method that can operate in tandem with bright field microscopy at the Soret-band wavelength.

Indexed as

(170.0180) Microscopy(170.1470) Blood or tissue constituent monitoring(170.1530) Cell analysis(170.1610) Clinical applications(180.3170) Interference microscopy(300.1030) Absorption

Identifiers

PMID22162816
PMCPMC3233245

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.