Evidence map›Paper›PMID 28827726›Full record

ArticleScientific reports2017

Classification of M1/M2-polarized human macrophages by label-free hyperspectral reflectance confocal microscopy and multivariate analysis.

Francesca R Bertani, Pamela Mozetic, Marco Fioramonti, Michele Iuliani, Giulia Ribelli, Francesco Pantano, Daniele Santini, Giuseppe Tonini, Marcella Trombetta, Luca Businaro and 2 more

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 142 papers.

0numbers the graph read from it
0cells of the map it votes in
142citing 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

142 citing papers in PubMed.

  1. Article
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  8. LifelongNutrients · 2026
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  15. Article
  16. Article
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  18. Article
  19. Article
  20. Aging and immunity: the age-old tango.Genes & development · 2025
    Review

82 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

12 authors.

Francesca R BertaniInstitute for Complex Systems, National Research Council, via del Fosso del Cavaliere 100, 00133, Rome, Italy. francesca.bertani@ifn.cnr.it.
Pamela MozeticTissue Engineering Unit, Università Campus Bio-Medico di Roma, via Álvaro del Portillo 21, 00128, Rome, Italy.
Marco FioramontiTranslational Oncology Unit, Università Campus Bio-Medico di Roma, via Álvaro del Portillo 21, 00128, Rome, Italy.
Michele IulianiTranslational Oncology Unit, Università Campus Bio-Medico di Roma, via Álvaro del Portillo 21, 00128, Rome, Italy.
Giulia RibelliTranslational Oncology Unit, Università Campus Bio-Medico di Roma, via Álvaro del Portillo 21, 00128, Rome, Italy.
Francesco PantanoTranslational Oncology Unit, Università Campus Bio-Medico di Roma, via Álvaro del Portillo 21, 00128, Rome, Italy.
Daniele SantiniTranslational Oncology Unit, Università Campus Bio-Medico di Roma, via Álvaro del Portillo 21, 00128, Rome, Italy.
Giuseppe ToniniTranslational Oncology Unit, Università Campus Bio-Medico di Roma, via Álvaro del Portillo 21, 00128, Rome, Italy.
Marcella TrombettaTissue Engineering Unit, Università Campus Bio-Medico di Roma, via Álvaro del Portillo 21, 00128, Rome, Italy.ORCID 0000-0002-1357-4885
Luca BusinaroMicrofabrication group, Institute for Photonics and Nanotechnology, National Research Council, via Cineto Romano 42, 00128, Rome, Italy.
Stefano SelciInstitute for Complex Systems, National Research Council, via del Fosso del Cavaliere 100, 00133, Rome, Italy.
Alberto RainerMicrofabrication group, Institute for Photonics and Nanotechnology, National Research Council, via Cineto Romano 42, 00128, Rome, Italy. a.rainer@unicampus.it.ORCID 0000-0001-8971-551X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The possibility of detecting and classifying living cells in a label-free and non-invasive manner holds significant theranostic potential. In this work, Hyperspectral Imaging (HSI) has been successfully applied to the analysis of macrophagic polarization, given its central role in several pathological settings, including the regulation of tumour microenvironment. Human monocyte derived macrophages have been investigated using hyperspectral reflectance confocal microscopy, and hyperspectral datasets have been analysed in terms of M1 vs. M2 polarization by Principal Components Analysis (PCA). Following PCA, Linear Discriminant Analysis has been implemented for semi-automatic classification of macrophagic polarization from HSI data. Our results confirm the possibility to perform single-cell-level in vitro classification of M1 vs. M2 macrophages in a non-invasive and label-free manner with a high accuracy (above 98% for cells deriving from the same donor), supporting the idea of applying the technique to the study of complex interacting cellular systems, such in the case of tumour-immunity in vitro models.

Indexed as

HumansMacrophagesMicroscopy, ConfocalMultivariate AnalysisOptical ImagingPrincipal Component Analysis

Identifiers

PMID28827726
PMCPMC5566322

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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.