Evidence map›Paper›PMID 20949577›Full record

ArticleCytometry. Part A : the journal of the International Society for Analytical Cytology2010

Photothermal multispectral image cytometry for quantitative histology of nanoparticles and micrometastasis in intact, stained and selectively burned tissues.

Dmitry A Nedosekin, Evgeny V Shashkov, Ekaterina I Galanzha, Leah Hennings, Vladimir P Zharov

Open access · greenAbstract read
In one paragraph

Article in Cytometry. Part A : the journal of the International Society for Analytical Cytology, 2010. 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
2.8field-weighted citation impact, top 10% 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

17 citing papers in PubMed, 41 citations in OpenAlex.

  1. TowardsFundamental research · 2024
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  8. Article
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  13. In vivo flow cytometry of circulating clots using negative photothermal and photoacoustic contrasts.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2011
    Article
  14. In vivo photoacoustic and photothermal cytometry for monitoring multiple blood rheology parameters.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2011
    Review
  15. In vivo plant flow cytometry: a first proof-of-concept.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2011
    Article
  16. Review
  17. 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 1 institution in 1 country.

Dmitry A NedosekinPhillips Classic Laser and Nanomedicine Laboratories, University of Arkansas for Medical Sciences, Little Rock, Arkansas 72205, USA.
Evgeny V Shashkov
Ekaterina I Galanzha
Leah Hennings
Vladimir P Zharov
University of Arkansas for Medical Sciences · US

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

There is a rapidly growing interest in the advanced analysis of histological data and the development of appropriate detection technologies in particular for mapping of nanoparticle distributions in tissue in nanomedicine applications. We evaluated photothermal (PT) scanning cytometry for color-coded imaging, spectral identification, and quantitative detection of individual nanoparticles and abnormal cells in histological samples with and without staining. Using this tool, individual carbon nanotubes, gold nanorods, and melanoma cells with intrinsic melanin markers were identified in unstained (e.g. sentinel lymph nodes) and conventionally-stained tissues. In addition, we introduced a spectral burning technique for histology through selective laser bleaching areas with nondesired absorption background and nanobubble-based PT signal amplification. The obtained data demonstrated the promise of PT cytometry in the analysis of low-absorption samples and mapping of various individual nanoparticles' distribution that would be impossible with existing assays. Comparison of PT cytometry and photoacoustic (PA) cytometry previously developed by us, revealed that these methods supplement each other with a sensitivity advantage (up to 10-fold) of contactless PT technique in assessment of thin (≤100 μm) histological samples, while PA imaging provides characterization of thicker samples which, however, requires an acoustic contact with transducers. A potential of high-speed integrated PT-PA cytometry for express histology and immunohistochemistry of both intact and stained heterogeneous tissues with high sensitivity at the zepromolar concentration level is further highlighted.

Indexed as

Hot TemperatureAnimalsBiomarkers, TumorGoldImage CytometryLaser Scanning CytometryLymphatic MetastasisLymph NodesMelaninsMelanomaMetal NanoparticlesMiceMice, NudeNanotubes, CarbonNeoplasm TransplantationPhotochemistryBiomarkers, TumorGoldMelaninsNanotubes, Carbon

Identifiers

PMID20949577
PMCPMC3339495
OpenAlexW2007203182

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.