Evidence map›Paper›PMID 36733743›Full record

ArticleBiomedical optics express2022

Finding intracellular lipid droplets from the single-cell biolens' signature in a holographic flow-cytometry assay.

Daniele Pirone, Daniele G Sirico, Martina Mugnano, Danila Del Giudice, Ivana Kurelac, Beatrice Cavina, Pasquale Memmolo, Lisa Miccio, Pietro Ferraro

Abstract read
In one paragraph

Article in Biomedical optics express, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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.

Daniele PironeDepartment of Electrical Engineering and Information Technologies, University of Naples "Federico II", via Claudio 21, 80125 Napoli, Italy.
Daniele G SiricoCNR-ISASI, Institute of Applied Sciences and Intelligent Systems "E. Caianiello", Via Campi Flegrei 34, 80078 Pozzuoli, Napoli, Italy.ORCID https://orcid.org/0000-0002-2760-9209
Martina MugnanoCNR-ISASI, Institute of Applied Sciences and Intelligent Systems "E. Caianiello", Via Campi Flegrei 34, 80078 Pozzuoli, Napoli, Italy.
Danila Del GiudiceCNR-ISASI, Institute of Applied Sciences and Intelligent Systems "E. Caianiello", Via Campi Flegrei 34, 80078 Pozzuoli, Napoli, Italy.
Ivana KurelacDepartment of Medical and Surgical Sciences (DIMEC), Centro di Studio e Ricerca (CSR) sulle Neoplasie Ginecologiche, Alma Mater Studiorum-University of Bologna, 40138 Bologna, Italy.
Beatrice CavinaDepartment of Medical and Surgical Sciences (DIMEC), Centro di Studio e Ricerca (CSR) sulle Neoplasie Ginecologiche, Alma Mater Studiorum-University of Bologna, 40138 Bologna, Italy.
Pasquale MemmoloCNR-ISASI, Institute of Applied Sciences and Intelligent Systems "E. Caianiello", Via Campi Flegrei 34, 80078 Pozzuoli, Napoli, Italy.ORCID https://orcid.org/0000-0002-9607-7728
Lisa MiccioCNR-ISASI, Institute of Applied Sciences and Intelligent Systems "E. Caianiello", Via Campi Flegrei 34, 80078 Pozzuoli, Napoli, Italy.
Pietro FerraroCNR-ISASI, Institute of Applied Sciences and Intelligent Systems "E. Caianiello", Via Campi Flegrei 34, 80078 Pozzuoli, Napoli, Italy.ORCID https://orcid.org/0000-0002-0158-3856

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, intracellular LDs have been discovered to play an important role in several pathologies. Therefore, detection of LDs would provide an in-demand diagnostic tool if coupled with flow-cytometry to give significant statistical analysis and especially if the diagnosis is made in full non-invasive mode. Here we combine the experimental results of in-flow tomographic phase microscopy with a suited numerical simulation to demonstrate that intracellular LDs can be easily detected through a label-free approach based on the direct analysis of the 2D quantitative phase maps recorded by a holographic flow cytometer. In fact, we demonstrate that the presence of LDs affects the optical focusing lensing features of the embracing cell, which can be considered a biological lens. The research was conducted on white blood cells (i.e., lymphocytes and monocytes) and ovarian cancer cells. Results show that the biolens properties of cells can be a rapid biomarker that aids in boosting the diagnosis of LDs-related pathologies by means of the holographic flow-cytometry assay for fast, non-destructive, and high-throughput screening of statistically significant number of cells.

Identifiers

PMID36733743
PMCPMC9872869

What Socratic 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 Socratic graph.