Evidence map›Paper›PMID 36897350›Full record

ArticleLab on a chip2023

A low-cost, label-free microfluidic scanning flow cytometer for high-accuracy quantification of size and refractive index of particles.

Riccardo Reale, Giovanna Peruzzi, Maryamsadat Ghoreishi, Helena Stabile, Giancarlo Ruocco, Marco Leonetti

Abstract read
In one paragraph

Article in Lab on a chip, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
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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

6 authors.

Riccardo RealeCenter for Life Nano- & Neuro-Science, Italian Institute of Technology, Rome, Italy. riccardo.reale@iit.it.ORCID 0000-0002-7697-8895
Giovanna PeruzziCenter for Life Nano- & Neuro-Science, Italian Institute of Technology, Rome, Italy. riccardo.reale@iit.it.ORCID 0000-0002-6517-9107
Maryamsadat GhoreishiCenter for Life Nano- & Neuro-Science, Italian Institute of Technology, Rome, Italy. riccardo.reale@iit.it.ORCID 0000-0002-1923-1488
Helena StabileDepartment of Molecular Medicine, Sapienza University of Rome, Rome, Italy.ORCID 0000-0002-3514-9847
Giancarlo RuoccoCenter for Life Nano- & Neuro-Science, Italian Institute of Technology, Rome, Italy. riccardo.reale@iit.it.ORCID 0000-0002-2762-9533
Marco LeonettiCenter for Life Nano- & Neuro-Science, Italian Institute of Technology, Rome, Italy. riccardo.reale@iit.it.ORCID 0000-0001-7106-0850

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Flow cytometers and fluorescence activated cells sorters (FCM/FACS) represent the gold standard for high-throughput single-cell analysis, but their usefulness for label-free applications is limited by the unreliability of forward and side scatter measurements. Scanning flow cytometers represent an appealing alternative, as they exploit measurements of the angle-resolved scattered light to provide accurate and quantitative estimates of cellular properties, but the requirements of current setups are unsuitable for integration with other lab-on-chip technologies or for point-of-care applications. Here we present the first microfluidic scanning flow cytometer (μSFC), able to achieve accurate angle-resolved scattering measurements within a standard polydimethylsiloxane microfluidic chip. The system exploits a low cost linearly variable optical density (OD) filter to reduce the dynamic range of the signal and to increase its signal-to-noise ratio. We present a performance comparison between the μSFC and commercial machines for the label free characterization of polymeric beads with different diameters and refractive indices. In contrast to FCM and FACS, the μSFC yields size estimates linearly correlated with nominal particle sizes (

Indexed as

Microfluidic Analytical TechniquesMicrofluidicsLeukocytes, MononuclearRefractometrySignal-To-Noise Ratio

Identifiers

PMID36897350
PMCPMC10091359

What OpenQuestion holds

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LicenceCC BY-NC
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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.