Evidence map›Paper›PMID 28828895›Full record

ArticleApplied spectroscopy2017

Label-Free Raman Hyperspectral Imaging of Single Cells Cultured on Polymer Substrates.

Faris Sinjab, Giovanna Sicilia, Dustin W Shipp, Maria Marlow, Ioan Notingher

Abstract read
In one paragraph

Article in Applied spectroscopy, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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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

5 authors.

Faris Sinjab1 School of Physics and Astronomy, University of Nottingham, Nottingham, UK.ORCID http://orcid.org/0000-0001-9932-9786
Giovanna Sicilia2 School of Pharmacy, University of Nottingham, Nottingham, UK.
Dustin W Shipp1 School of Physics and Astronomy, University of Nottingham, Nottingham, UK.
Maria Marlow2 School of Pharmacy, University of Nottingham, Nottingham, UK.
Ioan Notingher1 School of Physics and Astronomy, University of Nottingham, Nottingham, UK.

Funding

Biotechnology and Biological Sciences Research Council BB/G010285/1Medical Research Council MC_PC_13072
6 · The paper itself

Abstract

While Raman hyperspectral imaging has been widely used for label-free mapping of biomolecules in cells, these measurements require the cells to be cultured on weakly Raman scattering substrates. However, many applications in biological sciences and engineering require the cells to be cultured on polymer substrates that often generate large Raman scattering signals. Here, we discuss the theoretical limits of the signal-to-noise ratio in the Raman spectra of cells in the presence of polymer signals and how optical aberrations may affect these measurements. We show that Raman spectra of cells cultured on polymer substrates can be obtained using automatic subtraction of the polymer signals and demonstrate the capabilities of these methods in two important applications: tissue engineering and in vitro toxicology screening of drugs. Apart from their scientific and technological importance, these applications are examples of the two most common measurement configurations: (1) cells cultured on an optically thick polymer substrate measured using an immersion/dipping objective; and (2) cells cultured on a transparent polymer substrate and measured using an inverted optical microscope. In these examples, we show that Raman hyperspectral data sets with sufficient quality can be successfully acquired to map the distribution of common biomolecules in cells, such as nucleic acids, proteins, and lipids, as well as detecting the early stages of apoptosis. We also discuss strategies for further improvements that could expand the application of Raman hyperspectral imaging on polymer substrates even further in biomedical sciences and engineering.

Indexed as

Antineoplastic AgentsApoptosisCell Culture TechniquesCell Line, TumorCell SurvivalHumansMCF-7 CellsPolymersSignal-To-Noise RatioSingle-Cell AnalysisSpectrum Analysis, RamanAntineoplastic AgentsPolymersbackground correctioncellshyperspectral imagingpolymer substratesRaman spectroscopy

Identifiers

PMID28828895
PMCPMC5703035

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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.