Evidence map›Paper›PMID 32651381›Full record

ArticleNature communications2020

Raman image-activated cell sorting.

Nao Nitta, Takanori Iino, Akihiro Isozaki, Mai Yamagishi, Yasutaka Kitahama, Shinya Sakuma, Yuta Suzuki, Hiroshi Tezuka, Minoru Oikawa, Fumihito Arai and 39 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 72 papers.

0numbers the graph read from it
0cells of the map it votes in
72citing papers in PubMed
27.1field-weighted citation impact, top 1% 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

72 citing papers in PubMed, 196 citations in OpenAlex.

  1. Review
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  7. Advanced Image-Guidance and Surgical-Navigation Techniques for Real-Time Visualized Surgery.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
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  12. Review
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  15. Deep Learning-Assisted Label-Free Parallel Cell Sorting with Digital Microfluidics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  16. Review
  17. Article
  18. Review
  19. Review
  20. Deciphering the aging process through single-cell cytometric technologies.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2024
    Review

12 more citing papers are in PubMed but not listed here.

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

49 authors at 20 institutions in 3 countries.

Nao NittaDepartment of Chemistry, The University of Tokyo, Tokyo, 113-0033, Japan.ORCID http://orcid.org/0000-0002-9093-9016
Takanori Iino *Department of Electrical Engineering and Information Systems, The University of Tokyo, Tokyo, 113-8656, Japan.
Akihiro Isozaki *Department of Chemistry, The University of Tokyo, Tokyo, 113-0033, Japan.
Mai Yamagishi *Department of Biological Sciences, The University of Tokyo, Tokyo, 113-0033, Japan.ORCID http://orcid.org/0000-0002-4449-5899
Yasutaka Kitahama *Department of Chemistry, The University of Tokyo, Tokyo, 113-0033, Japan.
Shinya Sakuma *Department of Micro-Nano Mechanical Science and Engineering, Nagoya University, Nagoya, 464-8601, Japan.
Yuta SuzukiDepartment of Electrical Engineering and Information Systems, The University of Tokyo, Tokyo, 113-8656, Japan.
Hiroshi TezukaDepartment of Creative Informatics, The University of Tokyo, Tokyo, 113-0033, Japan.
Minoru OikawaNatural Sciences Cluster, Sciences Unit, Kochi University, Kochi, 780-8520, Japan.
Fumihito AraiDepartment of Micro-Nano Mechanical Science and Engineering, Nagoya University, Nagoya, 464-8601, Japan.
Takuya AsaiDepartment of Electrical Engineering and Information Systems, The University of Tokyo, Tokyo, 113-8656, Japan.
Dinghuan DengDepartment of Electrical Engineering and Information Systems, The University of Tokyo, Tokyo, 113-8656, Japan.
Hideya FukuzawaGraduate School of Biostudies, Kyoto University, Kyoto, 606-8502, Japan.ORCID http://orcid.org/0000-0003-0963-5662
Misa HaseDepartment of Chemistry, The University of Tokyo, Tokyo, 113-0033, Japan.
Tomohisa HasunumaGraduate School of Science, Technology and Innovation, Kobe University, Kobe, 657-8501, Japan.ORCID http://orcid.org/0000-0002-8382-2362
Takeshi HayakawaDepartment of Precision Mechanics, Chuo University, Tokyo, 192-0393, Japan.ORCID http://orcid.org/0000-0002-8420-3758
Kei HirakiDepartment of Chemistry, The University of Tokyo, Tokyo, 113-0033, Japan.
Kotaro HiramatsuDepartment of Chemistry, The University of Tokyo, Tokyo, 113-0033, Japan.
Yu HoshinoDepartment of Chemical Engineering, Kyushu University, Fukuoka, 819-0395, Japan.ORCID http://orcid.org/0000-0001-9628-6979
Mary InabaDepartment of Creative Informatics, The University of Tokyo, Tokyo, 113-0033, Japan.
Yuki InoueDepartment of Electrical Engineering and Information Systems, The University of Tokyo, Tokyo, 113-8656, Japan.
Takuro ItoDepartment of Chemistry, The University of Tokyo, Tokyo, 113-0033, Japan.ORCID http://orcid.org/0000-0001-5043-1886
Masataka KajikawaGraduate School of Biostudies, Kyoto University, Kyoto, 606-8502, Japan.
Hiroshi KarakawaDepartment of Chemistry, The University of Tokyo, Tokyo, 113-0033, Japan.
Yusuke KasaiDepartment of Micro-Nano Mechanical Science and Engineering, Nagoya University, Nagoya, 464-8601, Japan.ORCID http://orcid.org/0000-0003-0637-4575
Yuichi KatoEngineering Biology Research Center, Kobe University, Kobe, 657-8501, Japan.ORCID http://orcid.org/0000-0001-7670-9356
Hirofumi KobayashiDepartment of Chemistry, The University of Tokyo, Tokyo, 113-0033, Japan.ORCID http://orcid.org/0000-0002-4505-2061
Cheng LeiDepartment of Chemistry, The University of Tokyo, Tokyo, 113-0033, Japan.
Satoshi MatsusakaDepartment of Clinical Research and Regional Innovation, University of Tsukuba, Ibaraki, 305-8577, Japan.
Hideharu MikamiDepartment of Chemistry, The University of Tokyo, Tokyo, 113-0033, Japan.ORCID http://orcid.org/0000-0001-7297-6713
Atsuhiro NakagawaDepartment of Neurosurgery, Graduate School of Medicine, Tohoku University, Sendai, 980-8577, Japan.
Keiji NumataBiomacromolecules Research Team, RIKEN Center for Sustainable Resource Science, Wako, 351-0198, Japan.ORCID http://orcid.org/0000-0003-2199-7420
Tadataka OtaDepartment of Chemistry, The University of Tokyo, Tokyo, 113-0033, Japan.
Takeichiro SekiyaDepartment of Electrical Engineering and Information Systems, The University of Tokyo, Tokyo, 113-8656, Japan.
Kiyotaka ShibaDivision of Protein Engineering, Cancer Institute of Japanese Foundation for Cancer Research, Tokyo, 135-8550, Japan.
Yoshitaka ShirasakiDepartment of Biological Sciences, The University of Tokyo, Tokyo, 113-0033, Japan.ORCID http://orcid.org/0000-0002-3808-1630
Nobutake SuzukiDepartment of Biological Sciences, The University of Tokyo, Tokyo, 113-0033, Japan.
Shunji TanakaDepartment of Electrical Engineering and Information Systems, The University of Tokyo, Tokyo, 113-8656, Japan.
Shunnosuke UenoDepartment of Chemistry, The University of Tokyo, Tokyo, 113-0033, Japan.
Hiroshi WataraiInstitute of Medical Science, The University of Tokyo, Tokyo, 108-8639, Japan.
Takashi YamanoGraduate School of Biostudies, Kyoto University, Kyoto, 606-8502, Japan.ORCID http://orcid.org/0000-0001-6578-8095
Masayuki YazawaDepartment of Rehabilitation and Regenerative Medicine and Pharmacology, Columbia University, New York, 10032, USA.
Yusuke YonamineResearch Institute for Electronic Science, Hokkaido University, Sapporo, 001-0021, Japan.
Dino Di CarloDepartment of Chemistry, The University of Tokyo, Tokyo, 113-0033, Japan.
Yoichiroh HosokawaDivision of Materials Science, Nara Institute of Science and Technology, Ikoma, 630-0192, Japan.
Sotaro UemuraDepartment of Biological Sciences, The University of Tokyo, Tokyo, 113-0033, Japan.
Takeaki SugimuraDepartment of Chemistry, The University of Tokyo, Tokyo, 113-0033, Japan.
Yasuyuki OzekiDepartment of Electrical Engineering and Information Systems, The University of Tokyo, Tokyo, 113-8656, Japan.ORCID http://orcid.org/0000-0002-9004-0799
Keisuke GodaDepartment of Chemistry, The University of Tokyo, Tokyo, 113-0033, Japan. goda@chem.s.u-tokyo.ac.jp.ORCID http://orcid.org/0000-0001-6302-6038
The University of Tokyo · JPTokyo University of Information Sciences · JPJapan Science and Technology Agency · JPKyoto University · JPNagoya University · JPKobe University · JPCalifornia NanoSystems Institute · USChuo University · JPColumbia University · USHokkaido University · JPJapanese Foundation For Cancer Research · JPKanagawa Industrial Technology Center · JPKōchi University · JPKyushu University · JPNara Institute of Science and Technology · JPRIKEN Center for Sustainable Resource Science · JPTohoku University · JPTokyo University of Science · JPUniversity of Tsukuba · JPWuhan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The advent of image-activated cell sorting and imaging-based cell picking has advanced our knowledge and exploitation of biological systems in the last decade. Unfortunately, they generally rely on fluorescent labeling for cellular phenotyping, an indirect measure of the molecular landscape in the cell, which has critical limitations. Here we demonstrate Raman image-activated cell sorting by directly probing chemically specific intracellular molecular vibrations via ultrafast multicolor stimulated Raman scattering (SRS) microscopy for cellular phenotyping. Specifically, the technology enables real-time SRS-image-based sorting of single live cells with a throughput of up to ~100 events per second without the need for fluorescent labeling. To show the broad utility of the technology, we show its applicability to diverse cell types and sizes. The technology is highly versatile and holds promise for numerous applications that are previously difficult or undesirable with fluorescence-based technologies.

Indexed as

AnimalsCell SeparationHumansSpectrum Analysis, Raman

Identifiers

PMID32651381
PMCPMC7351993
OpenAlexW3041069161

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Registered trials

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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.