Evidence map›Paper›PMID 27446699›Full record

ArticleBiomedical optics express2016

High-throughput label-free image cytometry and image-based classification of live Euglena gracilis.

Cheng Lei, Takuro Ito, Masashi Ugawa, Taisuke Nozawa, Osamu Iwata, Masanori Maki, Genki Okada, Hirofumi Kobayashi, Xinlei Sun, Pimsiri Tiamsak and 5 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biomedical optics express, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.5field-weighted citation impact, top 8% 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

14 citing papers in PubMed, 38 citations in OpenAlex.

  1. Article
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  7. Label-free chemical imaging flow cytometry by high-speed multicolor stimulated Raman scattering.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  8. Bioproducts FromFrontiers in bioengineering and biotechnology · 2019
    Review
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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

15 authors at 5 institutions in 4 countries.

Cheng LeiDepartment of Chemistry, University of Tokyo, Tokyo, Japan; Department of Electronic Engineering, Tsinghua University, Beijing, China; leicheng@chem.s.u-tokyo.ac.jp.
Takuro ItoInstitute for Advanced Biosciences, Keio University, Tsuruoka, Japan; Systems Biology Program, Graduate School of Media and Governance, Keio University, Fujisawa, Japan.
Masashi UgawaDepartment of Chemistry, University of Tokyo, Tokyo, Japan.
Taisuke NozawaDepartment of Chemistry, University of Tokyo, Tokyo, Japan.
Osamu Iwataeuglena Co. Ltd., Tokyo, Japan.
Masanori MakiGraduate School of Advanced Integration Science, Chiba University, Chiba, Japan.
Genki OkadaGraduate School of Advanced Integration Science, Chiba University, Chiba, Japan.
Hirofumi KobayashiDepartment of Chemistry, University of Tokyo, Tokyo, Japan.
Xinlei SunDepartment of Chemistry, University of Tokyo, Tokyo, Japan; Department of Mechanical Engineering, Tsinghua University, Beijing, China.
Pimsiri TiamsakDepartment of Chemistry, University of Tokyo, Tokyo, Japan; Department of Medicine, Thammasat University, Bangkok, Thailand.
Norimichi TsumuraGraduate School of Advanced Integration Science, Chiba University, Chiba, Japan.
Kengo Suzukieuglena Co. Ltd., Tokyo, Japan.
Dino Di CarloDepartment of Bioengineering, University of California, Los Angeles, USA; California NanoSystems Institute, University of California, Los Angeles, USA; Jonsson Comprehensive Cancer Center, University of California, Los Angeles, USA.
Yasuyuki OzekiDepartment of Electrical Engineering and Information Systems, University of Tokyo, Tokyo, Japan.
Keisuke GodaDepartment of Chemistry, University of Tokyo, Tokyo, Japan; Department of Electrical Engineering, University of California, Los Angeles, USA; Japan Science and Technology Agency, Tokyo, Japan; goda@chem.s.u-tokyo.ac.jp.
The University of Tokyo · JPChiba University · JPKeio University · JPThammasat University · THUniversity of Colorado Denver · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We demonstrate high-throughput label-free single-cell image cytometry and image-based classification of Euglena gracilis (a microalgal species) under different culture conditions. We perform it with our high-throughput optofluidic image cytometer composed of a time-stretch microscope with 780-nm resolution and 75-Hz line rate, and an inertial-focusing microfluidic device. By analyzing a large number of single-cell images from the image cytometer, we identify differences in morphological and intracellular phenotypes between E. gracilis cell groups and statistically classify them under various culture conditions including nitrogen deficiency for lipid induction. Our method holds promise for real-time evaluation of culture techniques for E. gracilis and possibly other microalgae in a non-invasive manner.

Indexed as

(100.0100) Image processing(110.0180) Microscopy(120.0120) Instrumentation, measurement, and metrology

Identifiers

PMID27446699
PMCPMC4948623
OpenAlexW2465344429

What OpenQuestion holds

Textmetadata
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.