Evidence map›Paper›PMID 21948731›Full record

ReviewCytometry. Part A : the journal of the International Society for Analytical Cytology2011

In vivo photoacoustic and photothermal cytometry for monitoring multiple blood rheology parameters.

Ekaterina I Galanzha, Vladimir P Zharov

Abstract readReview
In one paragraph

Review in Cytometry. Part A : the journal of the International Society for Analytical Cytology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Dynamic modeling of photoacoustic sensor data to classify human blood samples.Medical & biological engineering & computing · 2024
    Article
  5. The sound of blood: photoacoustic imaging in blood analysis.Medicine in novel technology and devices · 2023
    Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. Photoacoustic Flow Cytometry for Single Sickle Cell DetectionAnalytical cellular pathology (Amsterdam) · 2016
    Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Photoacoustic flow cytometry.Methods (San Diego, Calif.) · 2012
    Review
  16. Article
  17. In vivo flow cytometry: a horizon of opportunities.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2011
    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

2 authors.

Ekaterina I GalanzhaPhillips Classic Laser and Nanomedicine Laboratories, University of Arkansas for Medical Sciences, Little Rock, Arkansas 72205, USA.
Vladimir P Zharov

Funding

In vivo real-time detection of circulating melanoma cellsR01CA131164 · NCI · UNIV OF ARKANSAS FOR MED SCIS · PI SUEN, JAMES · 2009 to 2019
$3.1M
Multifunctional nanotubes for in vivo detecting/purging circulating cancer cellsR01EB009230 · NIBIB · UNIV OF ARKANSAS FOR MED SCIS · PI ZHAROV, VLADIMIR P · 2009 to 2012
$1.2M
Photothermal Imaging of Live CellsR01EB000873 · NIBIB · UNIV OF ARKANSAS FOR MED SCIS · PI ZHAROV, VLADIMIR P · 2005 to 2008
$1.1M
In vivo molecular laser detection and treatment of circulating cancer stem cellsR21CA139373 · NCI · UNIV OF ARKANSAS FOR MED SCIS · PI ZHAROV, VLADIMIR P · 2009 to 2010
$329k
NCI NIH HHS R01 CA131164NCI NIH HHS R01CA131164NCI NIH HHS R21 CA139373NCI NIH HHS R21CA139373NIBIB NIH HHS R01 EB000873NIBIB NIH HHS R01EB000873NIBIB NIH HHS R01 EB009230NIBIB NIH HHS R01EB009230
6 · The paper itself

Abstract

Alterations of blood rheology (hemorheology) are important for the early diagnosis, prognosis, and prevention of many diseases, including myocardial infarction, stroke, sickle cell anemia, thromboembolism, trauma, inflammation, and malignancy. However, real-time in vivo assessment of multiple hemorheological parameters over long periods of time has not been reported. Here, we review the capabilities of label-free photoacoustic (PA) and photothermal (PT) flow cytometry for dynamic monitoring of hemorhelogical parameters in vivo which we refer to as photoacoustic and photothermal blood rheology. Using phenomenological models, we analyze correlations between both PT and PA signal characteristics in the dynamic modes and following determinants of blood rheology: red blood cell (RBC) aggregation, deformability, shape (e.g., as in sickle cells), intracellular hemoglobin distribution, individual cell velocity, hematocrit, and likely shear rate. We present ex vivo and in vivo experimental verifications involving high-speed PT imaging of RBCs, identification of sickle cells in a mouse model of human sickle cell disease and in vivo monitoring of complex hemorheological changes (e.g., RBC deformability, hematocrit and RBC aggregation). The multi-parameter platform that integrates PT, PA, and conventional optical techniques has potential for translation to clinical applications using safe, portable, laser-based medical devices for point-of-care screening of disease progression and therapy efficiency.

Indexed as

Anemia, Sickle CellFlow CytometryHemorheologyMolecular ImagingPhotoacoustic TechniquesAnimalsBlood ViscosityCardiovascular DiseasesEarly DiagnosisErythrocyte AggregationErythrocyte DeformabilityFluorescenceHematocritHemoglobinsHumansLasersHemoglobins

Identifiers

PMID21948731
PMCPMC3734562

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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.