Evidence map›Paper›PMID 27845443›Full record

ArticleScientific reports2016

Imaging Cytometry of Human Leukocytes with Third Harmonic Generation Microscopy.

Cheng-Ham Wu, Tzung-Dau Wang, Chia-Hung Hsieh, Shih-Hung Huang, Jong-Wei Lin, Szu-Chun Hsu, Hau-Tieng Wu, Yao-Ming Wu, Tzu-Ming Liu

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2016. 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
3.8field-weighted citation impact, top 6% 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, 47 citations in OpenAlex.

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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

9 authors at 4 institutions in 3 countries.

Cheng-Ham WuInstitute of Biomedical Engineering, National Taiwan University, Taipei 10617, Taiwan.
Tzung-Dau WangCardiovascular Center and Division of Cardiology, Department of Internal Medicine, National Taiwan University Hospital and College of Medicine, Taipei 10002, Taiwan.
Chia-Hung HsiehInstitute of Biomedical Engineering, National Taiwan University, Taipei 10617, Taiwan.
Shih-Hung HuangInstitute of Biomedical Engineering, National Taiwan University, Taipei 10617, Taiwan.
Jong-Wei LinCardiovascular Center and Division of Cardiology, Department of Internal Medicine, National Taiwan University Hospital and College of Medicine, Taipei 10002, Taiwan.
Szu-Chun HsuDepartment of Laboratory Medicine, National Taiwan University Hospital, Taipei 10002, Taiwan.
Hau-Tieng WuDepartment of Mathematics, University of Toronto, Toronto, Canada.
Yao-Ming WuDepartment of Surgery, National Taiwan University Hospital and College of Medicine, Taipei 10002, Taiwan.
Tzu-Ming LiuInstitute of Biomedical Engineering, National Taiwan University, Taipei 10617, Taiwan.
National Taiwan University Hospital · TWNational Taiwan University · TWUniversity of Macau · MOUniversity of Toronto · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Based on third-harmonic-generation (THG) microscopy and a k-means clustering algorithm, we developed a label-free imaging cytometry method to differentiate and determine the types of human leukocytes. According to the size and average intensity of cells in THG images, in a two-dimensional scatter plot, the neutrophils, monocytes, and lymphocytes in peripheral blood samples from healthy volunteers were clustered into three differentiable groups. Using these features in THG images, we could count the number of each of the three leukocyte types both in vitro and in vivo. The THG imaging-based counting results agreed well with conventional blood count results. In the future, we believe that the combination of this THG microscopy-based imaging cytometry approach with advanced texture analysis of sub-cellular features can differentiate and count more types of blood cells with smaller quantities of blood.

Indexed as

HumansImage CytometryLeukocyte CountLeukocytesSecond Harmonic Generation Microscopy

Identifiers

PMID27845443
PMCPMC5109028
OpenAlexW2553655246

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.