Evidence map›Paper›PMID 30032447›Full record

ArticleAnalytical and bioanalytical chemistry2018

Subcellular mapping of living cells via synchrotron microFTIR and ZnS hemispheres.

K L Andrew Chan, Pedro L V Fale, Ali Atharawi, Katia Wehbe, Gianfelice Cinque

Abstract read
In one paragraph

Article in Analytical and bioanalytical chemistry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Recent advances in single-cell subcellular sampling.Chemical communications (Cambridge, England) · 2023
    Review
  5. Article
  6. Synchrotron Infrared Microspectroscopy for Stem Cell Research.International journal of molecular sciences · 2022
    Review
  7. Article
  8. Article
  9. 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

5 authors.

K L Andrew ChanInstitute of Pharmaceutical Science, School of Cancer and Pharmaceutical Science, King's College London, London, SE1 9NH, UK. Ka_lung.chan@kcl.ac.uk.
Pedro L V FaleInstitute of Pharmaceutical Science, School of Cancer and Pharmaceutical Science, King's College London, London, SE1 9NH, UK.
Ali AtharawiInstitute of Pharmaceutical Science, School of Cancer and Pharmaceutical Science, King's College London, London, SE1 9NH, UK.
Katia WehbeDiamond Light Source, Harwell Science and Innovation Campus, Didcot, OX11 0DE, UK.
Gianfelice CinqueDiamond Light Source, Harwell Science and Innovation Campus, Didcot, OX11 0DE, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

FTIR imaging is a label-free, non-destructive method valuably exploited in the study of the biological process in living cells. However, the long wavelength/low spatial resolution and the strong absorbance of water are still key constrains in the application of IR microscopy ex vivo. In this work, a new retrofit approach based on the use of ZnS hemispheres is introduced to significantly improve the spatial resolution on live cell FTIR imaging. By means of two high refractive index domes sandwiching the sample, a lateral resolution close to 2.2 μm at 6 μm wavelength has been achieved, i.e. below the theoretical diffraction limit in air and more than twice the improvement (to ~λ/2.7) from our previous attempt using CaF

Indexed as

A549 CellsHumansMicroscopyPhantoms, ImagingSpectroscopy, Fourier Transform InfraredSulfidesSynchrotronsZinc CompoundsSulfidesZinc Compoundszinc sulfideAnti-cancer drugsCell systems/single cell analysisFourier transform infraredFT-IR imagingHigh definitionImmersion objective

Identifiers

PMID30032447
PMCPMC6132686

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.